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International Journal of Forecasting / Elsevier

Citation Profile [Updated: 2023-11-03 08:28:08]
5 Years H Index
85
Impact Factor (IF)
2.16
5 Years IF
1.75
Data available in this report

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ] [more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators
Raw Data

 

IF AIF CIF IF5 DOC CDO CIT NCI CCU D2Y C2Y D5Y C5Y SC %SC CiY II AII
1985 0 35 35 0 1 0 1
1986 0 67 102 0 7 0 5
1987 0 59 161 0 8 0 2
1988 0 86 247 0 8 0
1989 0 95 342 0 12 0
1990 0.01 0.11 0.04 0.03 74 416 536 17 17 181 2 342 10 0 5 0.07 0.05
1991 0.02 0.1 0.04 0.03 59 475 369 19 36 169 3 381 12 0 0 0.05
1992 0.04 0.11 0.04 0.04 90 565 1255 23 60 133 5 373 15 0 0 0.05
1993 0.05 0.13 0.04 0.03 76 641 813 26 87 149 7 404 13 0 0 0.06
1994 0.02 0.14 0.04 0.05 67 708 505 27 115 166 4 394 20 0 2 0.03 0.07
1995 0.08 0.22 0.18 0.11 60 768 563 136 252 143 12 366 39 80 58.8 9 0.15 0.1
1996 0.15 0.25 0.24 0.16 65 833 437 194 449 127 19 352 56 96 49.5 2 0.03 0.12
1997 0.1 0.24 0.18 0.15 62 895 1675 159 609 125 13 358 55 56 35.2 11 0.18 0.11
1998 0.1 0.28 0.25 0.17 35 930 921 228 840 127 13 330 55 66 28.9 1 0.03 0.13
1999 0.33 0.3 0.36 0.24 39 969 754 347 1188 97 32 289 69 63 18.2 6 0.15 0.15
2000 0.41 0.36 0.28 0.28 53 1022 1447 280 1470 74 30 261 73 83 29.6 6 0.11 0.16
2001 0.34 0.38 0.27 0.33 44 1066 676 286 1760 92 31 254 84 72 25.2 16 0.36 0.17
2002 0.33 0.41 0.29 0.41 55 1121 728 326 2088 97 32 233 96 87 26.7 34 0.62 0.21
2003 0.55 0.44 0.46 0.55 67 1188 988 530 2639 99 54 226 124 152 28.7 15 0.22 0.22
2004 0.5 0.49 0.45 0.53 67 1255 1686 553 3200 122 61 258 137 95 17.2 27 0.4 0.22
2005 0.6 0.5 0.69 0.6 67 1322 1651 907 4108 134 80 286 171 112 12.3 28 0.42 0.23
2006 0.7 0.5 0.79 0.59 60 1382 2117 1090 5206 134 94 300 178 503 46.1 24 0.4 0.22
2007 0.9 0.46 0.63 0.64 63 1445 1127 903 6110 127 114 316 201 146 16.2 39 0.62 0.2
2008 1.17 0.49 0.69 0.9 63 1508 1624 1027 7143 123 144 324 290 146 14.2 44 0.7 0.23
2009 0.87 0.47 0.66 0.92 72 1580 1331 1039 8192 126 110 320 295 110 10.6 39 0.54 0.24
2010 1.04 0.48 0.7 0.94 74 1654 1057 1139 9343 135 140 325 307 141 12.4 13 0.18 0.21
2011 1.08 0.52 0.96 1.07 148 1802 1670 1713 11070 146 157 332 356 459 26.8 134 0.91 0.24
2012 0.68 0.52 0.8 0.83 64 1866 2568 1490 12570 222 151 420 347 96 6.4 39 0.61 0.22
2013 0.92 0.56 0.92 0.99 56 1922 1021 1753 14335 212 195 421 417 194 11.1 40 0.71 0.24
2014 1.72 0.55 1.12 1.23 77 1999 2313 2233 16570 120 206 414 510 195 8.7 115 1.49 0.23
2015 1.91 0.55 1.13 1.22 81 2080 1136 2355 18929 133 254 419 512 244 10.4 80 0.99 0.23
2016 1.96 0.53 1.22 1.4 102 2182 1726 2660 21597 158 309 426 597 327 12.3 133 1.3 0.21
2017 1.5 0.54 1.18 1.7 76 2258 1024 2660 24266 183 275 380 646 281 10.6 51 0.67 0.22
2018 1.74 0.56 1.26 1.68 52 2310 733 2880 27167 178 309 392 658 156 5.4 38 0.73 0.24
2019 1.91 0.58 1.49 1.87 128 2438 1058 3632 30806 128 244 388 726 494 13.6 88 0.69 0.23
2020 1.99 0.7 1.63 1.85 98 2536 857 4113 34927 180 359 439 812 500 12.2 138 1.41 0.33
2021 1.91 0.87 1.57 1.89 101 2637 413 4146 39075 226 431 456 860 357 8.6 107 1.06 0.32
2022 2.16 1 1.51 1.75 97 2734 192 4135 43212 199 429 455 798 656 15.9 111 1.14 0.31
IF: Two years Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for all series in RePEc in year y
CIF: Cumulative impact factor
IF5: Five years Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CIT: Number of citations to papers published in year y
NCI: Number of citations in year y
CCU: Cumulative number of citations to papers published until year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
SC: selft citations in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y
50 most cited documents in this series
#YearTitleCited
12012Better to give than to receive: Predictive directional measurement of volatility spillovers. (2012). Yilmaz, Kamil ; Diebold, Francis. In: International Journal of Forecasting. RePEc:eee:intfor:v:28:y:2012:i:1:p:57-66.

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1754
21997Testing the equality of prediction mean squared errors. (1997). Leybourne, Stephen ; Harvey, David ; Newbold, Paul. In: International Journal of Forecasting. RePEc:eee:intfor:v:13:y:1997:i:2:p:281-291.

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1102
31986Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38. (1986). Litterman, Robert. In: International Journal of Forecasting. RePEc:eee:intfor:v:2:y:1986:i:4:p:497-498c.

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823
41989Combining forecasts: A review and annotated bibliography. (1989). Clemen, Robert T.. In: International Journal of Forecasting. RePEc:eee:intfor:v:5:y:1989:i:4:p:559-583.

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664
52006Another look at measures of forecast accuracy. (2006). Hyndman, Rob ; Koehler, Anne B.. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:4:p:679-688.

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619
62014Electricity price forecasting: A review of the state-of-the-art with a look into the future. (2014). Weron, Rafał. In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:4:p:1030-1081.

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507
71992Modeling and forecasting US sex differentials in mortality. (1992). Lee, Ronald ; Carter, Lawrence R.. In: International Journal of Forecasting. RePEc:eee:intfor:v:8:y:1992:i:3:p:393-411.

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483
81998Forecasting with artificial neural networks:: The state of the art. (1998). Patuwo, Eddy B. ; Hu, Michael Y. ; Zhang, Guoqiang. In: International Journal of Forecasting. RePEc:eee:intfor:v:14:y:1998:i:1:p:35-62.

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410
92000The M3-Competition: results, conclusions and implications. (2000). Hibon, Michele ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:16:y:2000:i:4:p:451-476.

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391
102010Comparing and evaluating Bayesian predictive distributions of asset returns. (2010). Geweke, John ; amisano, gianni. In: International Journal of Forecasting. RePEc:eee:intfor:v:26:y::i:2:p:216-230.

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282
112002A state space framework for automatic forecasting using exponential smoothing methods. (2002). Snyder, Ralph ; Hyndman, Rob ; Koehler, Anne B. ; Grose, Simone. In: International Journal of Forecasting. RePEc:eee:intfor:v:18:y:2002:i:3:p:439-454.

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257
121992Error measures for generalizing about forecasting methods: Empirical comparisons. (1992). Armstrong, J. ; Collopy, Fred . In: International Journal of Forecasting. RePEc:eee:intfor:v:8:y:1992:i:1:p:69-80.

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254
131999The Delphi technique as a forecasting tool: issues and analysis. (1999). Rowe, Gene ; Wright, George. In: International Journal of Forecasting. RePEc:eee:intfor:v:15:y:1999:i:4:p:353-375.

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233
142007Combining density forecasts. (2007). Mitchell, James ; Hall, Stephen. In: International Journal of Forecasting. RePEc:eee:intfor:v:23:y:2007:i:1:p:1-13.

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211
152014Evaluating early warning indicators of banking crises: Satisfying policy requirements. (2014). Juselius, John ; Drehmann, Mathias. In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:3:p:759-780.

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208
162004Bridge models to forecast the euro area GDP. (2004). Golinelli, Roberto ; Baffigi, Alberto ; Parigi, Giuseppe . In: International Journal of Forecasting. RePEc:eee:intfor:v:20:y:2004:i:3:p:447-460.

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205
171995Forecasting tourism demand: A review of empirical research. (1995). Witt, Christine A.. In: International Journal of Forecasting. RePEc:eee:intfor:v:11:y:1995:i:3:p:447-475.

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199
182006Modelling and forecasting the diffusion of innovation - A 25-year review. (2006). Islam, Towhidul ; Meade, Nigel. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:3:p:519-545.

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197
192016Probabilistic electric load forecasting: A tutorial review. (2016). Hong, Tao ; Fan, Shu . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:914-938.

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194
202011MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the euro area. (2011). Schumacher, Christian ; Marcellino, Massimiliano ; Kuzin, Vladimir . In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y:2011:i:2:p:529-542.

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184
212005Macro variables and international stock return predictability. (2005). Wohar, Mark ; Rapach, David E. ; Rangvid, Jesper . In: International Journal of Forecasting. RePEc:eee:intfor:v:21:y:2005:i:1:p:137-166.

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181
222016Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond. (2016). Hyndman, Rob ; Hong, Tao ; Pinson, Pierre ; Troccoli, Alberto ; Zareipour, Hamidreza ; Fan, Shu . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:896-913.

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180
23200625 years of time series forecasting. (2006). Hyndman, Rob ; Gooijer, Jan G.. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:3:p:443-473.

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172
242008Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data. (2008). Schumacher, Christian ; Breitung, Jörg. In: International Journal of Forecasting. RePEc:eee:intfor:v:24:y:2008:i:3:p:386-398.

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172
252011MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the euro area. (2011). Schumacher, Christian ; Marcellino, Massimiliano ; Kuzin, Vladimir . In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y::i:2:p:529-542.

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171
262008Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models. (2008). Weron, Rafał ; Misiorek, Adam. In: International Journal of Forecasting. RePEc:eee:intfor:v:24:y:2008:i:4:p:744-763.

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168
272005Forecasting electricity prices for a day-ahead pool-based electric energy market. (2005). CONEJO, Antonio J. ; Espinola, Rosa ; Plazas, Miguel A. ; Contreras, Javier. In: International Journal of Forecasting. RePEc:eee:intfor:v:21:y:2005:i:3:p:435-462.

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165
282006Judgmental forecasting: A review of progress over the last 25 years. (2006). Onkal, Dilek ; Goodwin, Paul ; Lawrence, Michael ; O'Connor, Marcus. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:3:p:493-518.

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165
292008The financial analyst forecasting literature: A taxonomy with suggestions for further research. (2008). Shane, Philip ; Ramnath, Sundaresh ; ROCK, STEVE. In: International Journal of Forecasting. RePEc:eee:intfor:v:24:y:2008:i:1:p:34-75.

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162
302000Out-of-sample tests of forecasting accuracy: an analysis and review. (2000). Tashman, Leonard J.. In: International Journal of Forecasting. RePEc:eee:intfor:v:16:y:2000:i:4:p:437-450.

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157
312011Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search. (2011). Wintoki, Babajide M. ; Zhang, Zelin ; Joseph, Kissan. In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y:2011:i:4:p:1116-1127.

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152
322013Combining expert forecasts: Can anything beat the simple average?. (2013). Meyler, Aidan ; Kenny, Geoff ; Genre, Veronique ; Timmermann, Allan. In: International Journal of Forecasting. RePEc:eee:intfor:v:29:y:2013:i:1:p:108-121.

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151
332009Forecasting exchange rates with a large Bayesian VAR. (2009). Marcellino, Massimiliano ; Carriero, Andrea ; Kapetanios, G.. In: International Journal of Forecasting. RePEc:eee:intfor:v:25:y:2009:i:2:p:400-417.

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146
342009Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning. (2009). Nikolopoulos, Konstantinos ; Lawrence, Michael ; Fildes, Robert ; Goodwin, Paul. In: International Journal of Forecasting. RePEc:eee:intfor:v:25:y:2009:i:1:p:3-23.

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141
352008Forecasting electricity prices: The impact of fundamentals and time-varying coefficients. (2008). Bunn, Derek W. ; Karakatsani, Nektaria V.. In: International Journal of Forecasting. RePEc:eee:intfor:v:24:y:2008:i:4:p:764-785.

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139
362004Efficient market hypothesis and forecasting. (2004). Timmermann, Allan ; Granger, Clive. In: International Journal of Forecasting. RePEc:eee:intfor:v:20:y:2004:i:1:p:15-27.

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137
371993Earnings forecasting research: its implications for capital markets research. (1993). Brown, Lawrence D.. In: International Journal of Forecasting. RePEc:eee:intfor:v:9:y:1993:i:3:p:295-320.

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133
381993Comments on Earnings forecasting research: its implications for capital markets research by L. Brown. (1993). Brown, Philip. In: International Journal of Forecasting. RePEc:eee:intfor:v:9:y:1993:i:3:p:331-335.

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133
391993Betting on trends: Intuitive forecasts of financial risk and return. (1993). De Bondt, Werner P. M., . In: International Journal of Forecasting. RePEc:eee:intfor:v:9:y:1993:i:3:p:355-371.

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133
402004Forecasting seasonals and trends by exponentially weighted moving averages. (2004). Holt, Charles C.. In: International Journal of Forecasting. RePEc:eee:intfor:v:20:y:2004:i:1:p:5-10.

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132
412001How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth. (2001). Loungani, Prakash. In: International Journal of Forecasting. RePEc:eee:intfor:v:17:y:2001:i:3:p:419-432.

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125
422009Forecasting economic and financial variables with global VARs. (2009). Smith, L. Vanessa ; Schuermann, Til ; Pesaran, M. In: International Journal of Forecasting. RePEc:eee:intfor:v:25:y:2009:i:4:p:642-675.

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124
432005The accuracy of intermittent demand estimates. (2005). Syntetos, Aris A. ; Boylan, John E.. In: International Journal of Forecasting. RePEc:eee:intfor:v:21:y:2005:i:2:p:303-314.

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124
442004Authors retrospective on Forecasting seasonals and trends by exponentially weighted moving averages. (2004). Holt, Charles C.. In: International Journal of Forecasting. RePEc:eee:intfor:v:20:y:2004:i:1:p:11-13.

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122
452017The predictive power of Google searches in forecasting US unemployment. (2017). D'Amuri, Francesco ; Damuri, Francesco ; Marcucci, Juri . In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:4:p:801-816.

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121
462000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers. (2000). Thomas, Lyn C.. In: International Journal of Forecasting. RePEc:eee:intfor:v:16:y:2000:i:2:p:149-172.

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117
471993Reply to commentaries on Earnings forecasting research: its implications for capital markets research. (1993). Brown, Lawrence D.. In: International Journal of Forecasting. RePEc:eee:intfor:v:9:y:1993:i:3:p:343-344.

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113
481992The evaluation of extrapolative forecasting methods. (1992). Fildes, Robert. In: International Journal of Forecasting. RePEc:eee:intfor:v:8:y:1992:i:1:p:81-98.

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112
491993Accuracy measures: theoretical and practical concerns. (1993). Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:9:y:1993:i:4:p:527-529.

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109
502015Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections. (2015). Lenza, Michele ; Giannone, Domenico ; Banbura, Marta ; Babura, Marta. In: International Journal of Forecasting. RePEc:eee:intfor:v:31:y:2015:i:3:p:739-756.

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107
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12012Better to give than to receive: Predictive directional measurement of volatility spillovers. (2012). Yilmaz, Kamil ; Diebold, Francis. In: International Journal of Forecasting. RePEc:eee:intfor:v:28:y:2012:i:1:p:57-66.

Full description at Econpapers || Download paper

902
22006Another look at measures of forecast accuracy. (2006). Hyndman, Rob ; Koehler, Anne B.. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:4:p:679-688.

Full description at Econpapers || Download paper

214
31997Testing the equality of prediction mean squared errors. (1997). Leybourne, Stephen ; Harvey, David ; Newbold, Paul. In: International Journal of Forecasting. RePEc:eee:intfor:v:13:y:1997:i:2:p:281-291.

Full description at Econpapers || Download paper

160
42014Electricity price forecasting: A review of the state-of-the-art with a look into the future. (2014). Weron, Rafał. In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:4:p:1030-1081.

Full description at Econpapers || Download paper

158
51992Modeling and forecasting US sex differentials in mortality. (1992). Lee, Ronald ; Carter, Lawrence R.. In: International Journal of Forecasting. RePEc:eee:intfor:v:8:y:1992:i:3:p:393-411.

Full description at Econpapers || Download paper

98
62016Probabilistic electric load forecasting: A tutorial review. (2016). Hong, Tao ; Fan, Shu . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:914-938.

Full description at Econpapers || Download paper

85
72020The M4 Competition: 100,000 time series and 61 forecasting methods. (2020). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:54-74.

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81
81998Forecasting with artificial neural networks:: The state of the art. (1998). Patuwo, Eddy B. ; Hu, Michael Y. ; Zhang, Guoqiang. In: International Journal of Forecasting. RePEc:eee:intfor:v:14:y:1998:i:1:p:35-62.

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81
91999The Delphi technique as a forecasting tool: issues and analysis. (1999). Rowe, Gene ; Wright, George. In: International Journal of Forecasting. RePEc:eee:intfor:v:15:y:1999:i:4:p:353-375.

Full description at Econpapers || Download paper

70
101989Combining forecasts: A review and annotated bibliography. (1989). Clemen, Robert T.. In: International Journal of Forecasting. RePEc:eee:intfor:v:5:y:1989:i:4:p:559-583.

Full description at Econpapers || Download paper

66
112017The predictive power of Google searches in forecasting US unemployment. (2017). D'Amuri, Francesco ; Damuri, Francesco ; Marcucci, Juri . In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:4:p:801-816.

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65
122000The M3-Competition: results, conclusions and implications. (2000). Hibon, Michele ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:16:y:2000:i:4:p:451-476.

Full description at Econpapers || Download paper

60
132004Forecasting seasonals and trends by exponentially weighted moving averages. (2004). Holt, Charles C.. In: International Journal of Forecasting. RePEc:eee:intfor:v:20:y:2004:i:1:p:5-10.

Full description at Econpapers || Download paper

59
142004Authors retrospective on Forecasting seasonals and trends by exponentially weighted moving averages. (2004). Holt, Charles C.. In: International Journal of Forecasting. RePEc:eee:intfor:v:20:y:2004:i:1:p:11-13.

Full description at Econpapers || Download paper

57
152016Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond. (2016). Hyndman, Rob ; Hong, Tao ; Pinson, Pierre ; Troccoli, Alberto ; Zareipour, Hamidreza ; Fan, Shu . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:896-913.

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57
162002A state space framework for automatic forecasting using exponential smoothing methods. (2002). Snyder, Ralph ; Hyndman, Rob ; Koehler, Anne B. ; Grose, Simone. In: International Journal of Forecasting. RePEc:eee:intfor:v:18:y:2002:i:3:p:439-454.

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56
172016The forecast combination puzzle: A simple theoretical explanation. (2016). Vasnev, Andrey ; Magnus, Jan R ; Claeskens, Gerda ; Wang, Wendun. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:754-762.

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55
182011Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search. (2011). Wintoki, Babajide M. ; Zhang, Zelin ; Joseph, Kissan. In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y:2011:i:4:p:1116-1127.

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54
192020The impact of sentiment and attention measures on stock market volatility. (2020). Audrino, Francesco ; Ballinari, Daniele ; Sigrist, Fabio. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:334-357.

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54
202020DeepAR: Probabilistic forecasting with autoregressive recurrent networks. (2020). Januschowski, Tim ; Gasthaus, Jan ; Flunkert, Valentin ; Salinas, David. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:1181-1191.

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52
211986Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38. (1986). Litterman, Robert. In: International Journal of Forecasting. RePEc:eee:intfor:v:2:y:1986:i:4:p:497-498c.

Full description at Econpapers || Download paper

51
222020Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks. (2020). McAleer, Michael ; GUPTA, RANGAN ; Asai, Manabu. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:933-948.

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50
232014Evaluating early warning indicators of banking crises: Satisfying policy requirements. (2014). Juselius, John ; Drehmann, Mathias. In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:3:p:759-780.

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50
242020A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting. (2020). Smyl, Slawek. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:75-85.

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45
252016A new metric of absolute percentage error for intermittent demand forecasts. (2016). Kim, Sung Il . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:669-679.

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45
262010Comparing and evaluating Bayesian predictive distributions of asset returns. (2010). Geweke, John ; amisano, gianni. In: International Journal of Forecasting. RePEc:eee:intfor:v:26:y::i:2:p:216-230.

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272018The M4 Competition: Results, findings, conclusion and way forward. (2018). Makridakis, Spyros ; Assimakopoulos, Vassilios ; Spiliotis, Evangelos . In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:4:p:802-808.

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282000Out-of-sample tests of forecasting accuracy: an analysis and review. (2000). Tashman, Leonard J.. In: International Journal of Forecasting. RePEc:eee:intfor:v:16:y:2000:i:4:p:437-450.

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29200625 years of time series forecasting. (2006). Hyndman, Rob ; Gooijer, Jan G.. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:3:p:443-473.

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302020Forecasting global equity market volatilities. (2020). Liao, Yin ; Ma, Feng ; Zhang, Yaojie. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:4:p:1454-1475.

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312021Recurrent Neural Networks for Time Series Forecasting: Current status and future directions. (2021). Bandara, Kasun ; Bergmeir, Christoph ; Hewamalage, Hansika. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:1:p:388-427.

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322019Machine learning for regularized survey forecast combination: Partially-egalitarian LASSO and its derivatives. (2019). Shin, Minchul ; Diebold, Francis X. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1679-1691.

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36
332013Combining expert forecasts: Can anything beat the simple average?. (2013). Meyler, Aidan ; Kenny, Geoff ; Genre, Veronique ; Timmermann, Allan. In: International Journal of Forecasting. RePEc:eee:intfor:v:29:y:2013:i:1:p:108-121.

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342019Text-based crude oil price forecasting: A deep learning approach. (2019). Wang, Shouyang ; Shang, Wei ; Li, Xuerong. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1548-1560.

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352020Forecasting stock price volatility: New evidence from the GARCH-MIDAS model. (2020). Yang, Lin ; Liu, Jing ; Ma, Feng ; Wang, LU. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:684-694.

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362020FFORMA: Feature-based forecast model averaging. (2020). Talagala, Thiyanga S ; Hyndman, Rob J ; Athanasopoulos, George ; Montero-Manso, Pablo. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:86-92.

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372008The financial analyst forecasting literature: A taxonomy with suggestions for further research. (2008). Shane, Philip ; Ramnath, Sundaresh ; ROCK, STEVE. In: International Journal of Forecasting. RePEc:eee:intfor:v:24:y:2008:i:1:p:34-75.

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382011MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the euro area. (2011). Schumacher, Christian ; Marcellino, Massimiliano ; Kuzin, Vladimir . In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y:2011:i:2:p:529-542.

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33
392017Quantile regression forecasts of inflation under model uncertainty. (2017). Korobilis, Dimitris. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:1:p:11-20.

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33
402005The accuracy of intermittent demand estimates. (2005). Syntetos, Aris A. ; Boylan, John E.. In: International Journal of Forecasting. RePEc:eee:intfor:v:21:y:2005:i:2:p:303-314.

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32
412006Modelling and forecasting the diffusion of innovation - A 25-year review. (2006). Islam, Towhidul ; Meade, Nigel. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:3:p:519-545.

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32
422019Forecasting cryptocurrencies under model and parameter instability. (2019). Ravazzolo, Francesco ; Grassi, Stefano ; Catania, Leopoldo. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:485-501.

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32
432019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO. (2019). Weron, Rafał ; Marcjasz, Grzegorz ; Uniejewski, Bartosz . In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1533-1547.

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31
442019Online big data-driven oil consumption forecasting with Google trends. (2019). Yu, Lean ; Yang, Zebin ; Tang, Ling ; Zhao, Yaqing. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:213-223.

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31
451993Accuracy measures: theoretical and practical concerns. (1993). Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:9:y:1993:i:4:p:527-529.

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30
462014Global Energy Forecasting Competition 2012. (2014). Hong, Tao ; Pinson, Pierre ; Fan, Shu . In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:2:p:357-363.

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30
472006Judgmental forecasting: A review of progress over the last 25 years. (2006). Onkal, Dilek ; Goodwin, Paul ; Lawrence, Michael ; O'Connor, Marcus. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:3:p:493-518.

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30
482007Combining density forecasts. (2007). Mitchell, James ; Hall, Stephen. In: International Journal of Forecasting. RePEc:eee:intfor:v:23:y:2007:i:1:p:1-13.

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30
492004Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood. (2004). Lee, Tae Hwy ; Gonzalez-Rivera, Gloria ; Mishra, Santosh . In: International Journal of Forecasting. RePEc:eee:intfor:v:20:y:2004:i:4:p:629-645.

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502000The theta model: a decomposition approach to forecasting. (2000). Nikolopoulos, Konstantinos ; Assimakopoulos, V.. In: International Journal of Forecasting. RePEc:eee:intfor:v:16:y:2000:i:4:p:521-530.

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2022Nonparametric Value-at-Risk via Sieve Estimation. (2022). Ratz, Philipp. In: Papers. RePEc:arx:papers:2205.07101.

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2022A novel system for providing explicit demand response from domestic natural gas boilers. (2022). Voulgarakis, Dimitrios K ; Symeonidis, Polychronis A ; Keranidis, Stratos D ; Biskas, Pandelis N ; Bampos, Zafeirios N ; Tsoumalis, Georgios I. In: Applied Energy. RePEc:eee:appene:v:317:y:2022:i:c:s0306261922004421.

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2022A standard protocol for describing the evaluation of ecological models. (2022). Sivel, Elliot ; Carroll, Jolynn ; Aarflot, Johanna M ; Pedersen, Torstein ; Varpe, Oystein ; Fransner, Filippa ; Husson, Berengere ; Strombom, Evelyn ; Primicerio, Raul ; Stige, Leif Christian ; Hansen, Cecilie ; Skogen, Morten D ; Planque, Benjamin ; Buttay, Lucie ; Langangen, Oystein ; Yoccoz, Nigel G ; Lindstrom, Ulf. In: Ecological Modelling. RePEc:eee:ecomod:v:471:y:2022:i:c:s0304380022001685.

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2022Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series. (2022). Vogklis, Konstantinos ; Nasios, Ioannis. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1448-1459.

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2022Transfer learning for hierarchical forecasting: Reducing computational efforts of M5 winning methods. (2022). Boute, Robert N ; Udenio, Maxi ; Wellens, Arnoud P. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1482-1491.

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2022Exploring the social influence of the Kaggle virtual community on the M5 competition. (2022). Kang, Yanfei ; Bai, Yun ; Li, Xixi. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1507-1518.

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2022Fathoming empirical forecasting competitions’ winners. (2022). Nikolopoulos, Konstantinos ; Karamatzanis, Georgios ; Alroomi, Azzam ; Xiao, Shujun ; Tilba, Anna. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1519-1525.

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2022The uncertainty track: Machine learning, statistical modeling, synthesis. (2022). Ord, Keith. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1526-1530.

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2022Understanding machine learning-based forecasting methods: A decomposition framework and research opportunities. (2022). Bojer, Casper Solheim. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1555-1561.

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2022When bullwhip increases in the lead time: An eigenvalue analysis of ARMA demand. (2022). Wang, Xun ; Disney, Stephen M ; Gaalman, Gerard. In: International Journal of Production Economics. RePEc:eee:proeco:v:250:y:2022:i:c:s0925527322002043.

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2022A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting. (2022). Fildes, Robert ; Eriolu, Erol. In: Computational Economics. RePEc:kap:compec:v:59:y:2022:i:4:d:10.1007_s10614-020-10073-7.

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2022Dam Water Level Prediction Using Vector AutoRegression, Random Forest Regression and MLP-ANN Models Based on Land-Use and Climate Factors. (2022). Nkwae, Boipuso ; Odirile, Phillimon ; Parida, Bhagabat P ; Qi, Jiaguo ; Ouma, Yashon O ; Moalafhi, Ditiro B ; Anderson, George. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:22:p:14934-:d:970015.

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2022Crisis mapping in the “senses” arena narratives. (2022). Vlachakis, Sotirios ; Anestis, Michael Chrissos ; Karantza, Ioanna. In: International Review on Public and Nonprofit Marketing. RePEc:spr:irpnmk:v:19:y:2022:i:4:d:10.1007_s12208-021-00319-x.

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2022Simple averaging of direct and recursive forecasts via partial pooling using machine learning. (2022). Jung, Jae-Yoon ; In, Yeonjun. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1386-1399.

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2022GoodsForecast second-place solution in M5 Uncertainty track: Combining heterogeneous models for a quantile estimation task. (2022). Kanevskiy, Daniel ; Golubyatnikov, Evgeny ; Mamonov, Nikolay ; Gusakov, Igor. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1434-1441.

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2022.

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2022The DONUT Approach to EnsembleCombination Forecasting. (2022). Krange, Kjartan ; Ankile, Lars Lien. In: Papers. RePEc:arx:papers:2201.00426.

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2022.

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2022Forecast of Electric Vehicle Sales in the World and China Based on PCA-GRNN. (2022). Chen, Wen ; Wu, Minfeng. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:4:p:2206-:d:749799.

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2022Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand. (2022). Bergmeir, Christoph ; Weng, Angela Dieyu ; Grecov, Priscila ; Prasanna, Ankitha Nandipura. In: Papers. RePEc:arx:papers:2209.08885.

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2022Machine Learning Methods for Inflation Forecasting in Brazil: new contenders versus classical models. (2022). Gaglianone, Wagner ; Araujo, Gustavo Silva. In: Working Papers Series. RePEc:bcb:wpaper:561.

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2022The Use of Singular Spectrum Analysis and K-Means Clustering-Based Bootstrap to Improve Multistep Ahead Load Forecasting. (2022). Rodrigues, Paulo Canas ; Yudhanto, Yudho ; Sulandari, Winita. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:16:p:5838-:d:885936.

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2022Optimal Design of Hybrid Renewable Energy Systems Considering Weather Forecasting Using Recurrent Neural Networks. (2022). Cardenas-Barron, Leopoldo Eduardo ; Medina-Santana, Alfonso Angel. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:23:p:9045-:d:988157.

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2022Optimal operation of residential energy Hubs include Hybrid electric vehicle & Heat storage system by considering uncertainties of electricity price and renewable energy. (2022). Veeramani, Vasan Prabhu ; Vedavalli, S P ; Palani, Velmurugan ; Sridharan, S. In: Energy. RePEc:eee:energy:v:261:y:2022:i:pa:s0360544222018515.

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2022Hierarchical forecasting with a top-down alignment of independent-level forecasts. (2022). Li, Feng ; Anderer, Matthias. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1405-1414.

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2022Forecasting with trees. (2022). Torkkola, Kari ; Wang, Yuyang ; Januschowski, Tim ; Gasthaus, Jan ; Hasson, Hilaf ; Erkkila, Timo. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1473-1481.

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2022A novel seasonal segmentation approach for day-ahead load forecasting. (2022). Jain, Sachin Kumar ; Sharma, Abhishek. In: Energy. RePEc:eee:energy:v:257:y:2022:i:c:s0360544222016553.

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2022Bayesian forecast combination using time-varying features. (2021). Li, Feng ; Kang, Yanfei. In: Papers. RePEc:arx:papers:2108.02082.

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2022.

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2022A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network. (2022). Ou, Zuhong ; Yan, Baiping ; Chen, Shu ; Yin, Hao ; Meng, Anbo ; Wang, Chenen ; Xian, Zikang ; Zhang, Zhan ; Liang, Ruduo ; Xiao, Jianhua. In: Energy. RePEc:eee:energy:v:261:y:2022:i:pa:s0360544222021612.

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2022At what price should Bordeaux wines be released?. (2022). Weisskopf, Jeanphilippe ; Masset, Philippe. In: Economic Inquiry. RePEc:bla:ecinqu:v:60:y:2022:i:1:p:392-412.

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2022A deep generative model for probabilistic energy forecasting in power systems: normalizing flows. (2022). Cornelusse, Bertrand ; Lanaspeze, Damien ; Wehenkel, Antoine ; Dumas, Jonathan ; Sutera, Antonio. In: Applied Energy. RePEc:eee:appene:v:305:y:2022:i:c:s0306261921011909.

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2022Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting. (2022). Bao, Yukun ; Deng, Changrui ; Hasan, Najmul ; Huang, Yanmei. In: Energy. RePEc:eee:energy:v:239:y:2022:i:pc:s0360544221024932.

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2022A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality. (2022). Xia, Xiangao ; Bright, Jamie M ; Perez, Richard ; Huang, Jing ; Kleissl, Jan ; Hong, Tao ; Gueymard, Christian A ; Wang, Wenting ; Peters, Ian Marius ; Yang, Dazhi ; van der Meer, Dennis. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122002593.

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2022False Data Injection Attack Detection in Smart Grid Using Energy Consumption Forecasting. (2022). Anwar, Adnan ; Hossain, Fahmid ; Mahi-Al, Abrar ; Azam, Sami. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:13:p:4877-:d:854618.

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2022Forecasting the volatility of crude oil futures: The role of oil investor attention and its regime switching characteristics under a high-frequency framework. (2022). Suleman, Muhammad Tahir ; Niu, Zibo ; Liu, Yuanyuan ; Zhang, Hongwei ; Yin, Libo. In: Energy. RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221020272.

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2022The information content of sentiment indices for forecasting Value at Risk and Expected Shortfall in equity markets. (2022). Naimoli, Antonio. In: MPRA Paper. RePEc:pra:mprapa:112588.

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2022Investor sentiment and stock volatility: New evidence. (2022). Wang, Chao ; Zhang, Wei Guo ; Gong, Xue. In: International Review of Financial Analysis. RePEc:eee:finana:v:80:y:2022:i:c:s1057521922000084.

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2022Risk spillovers and interconnectedness between systemically important institutions. (2022). Andrieș, Alin Marius ; Tunaru, Radu ; Sprincean, Nicu ; Ongena, Steven. In: Journal of Financial Stability. RePEc:eee:finsta:v:58:y:2022:i:c:s1572308921001224.

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2022Are customer reviews just reviews? Hotel forecasting using sentiment analysis. (2022). Wu, JI ; Zhong, Shiteng. In: Tourism Economics. RePEc:sae:toueco:v:28:y:2022:i:3:p:795-816.

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2022YOLO trading: Riding with the herd during the GameStop episode. (2022). Výrost, Tomáš ; Lyócsa, Štefan ; Baumohl, Eduard ; Vrost, Toma ; Lyocsa, Tefan. In: Finance Research Letters. RePEc:eee:finlet:v:46:y:2022:i:pa:s1544612321003603.

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2022Constructing a positive sentiment index for COVID-19: Evidence from G20 stock markets. (2022). Drakos, Konstantinos ; Ballis, Antonis ; Anastasiou, Dimitris. In: International Review of Financial Analysis. RePEc:eee:finana:v:81:y:2022:i:c:s1057521922000795.

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2022Examining the sources of excess return predictability: Stochastic volatility or market inefficiency?. (2022). Lansing, Kevin ; Ma, Jun ; Leroy, Stephen F. In: Journal of Economic Behavior & Organization. RePEc:eee:jeborg:v:197:y:2022:i:c:p:50-72.

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2022.

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2022The role of investor attention in global asset price variation during the invasion of Ukraine. (2022). Horv, Mat'Uvs ; Stavsek, Daniel ; Halouskov, Martina. In: Papers. RePEc:arx:papers:2205.05985.

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2022Russias Ruble during the onset of the Russian invasion of Ukraine in early 2022: The role of implied volatility and attention. (2022). Pl, Tom'Avs ; Ly, Vstefan. In: Papers. RePEc:arx:papers:2205.09179.

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2022On the universality of the volatility formation process: when machine learning and rough volatility agree. (2022). Zhang, Jianfei ; Rosenbaum, Mathieu. In: Papers. RePEc:arx:papers:2206.14114.

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2022Effects of investor sentiment on stock volatility: new evidences from multi-source data in China’s green stock markets. (2022). Zhao, Wandi ; Sun, Bianxia ; Gao, Yang. In: Financial Innovation. RePEc:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-022-00381-2.

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2022When does attention matter? The effect of investor attention on stock market volatility around news releases. (2022). Audrino, Francesco ; Ballinari, Daniele ; Sigrist, Fabio. In: International Review of Financial Analysis. RePEc:eee:finana:v:82:y:2022:i:c:s1057521922001466.

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2022Russia’s ruble during the onset of the Russian invasion of Ukraine in early 2022: The role of implied volatility and attention. (2022). Lyócsa, Štefan ; Lyocsa, Tefan ; Plihal, Toma. In: Finance Research Letters. RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322002410.

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2022Forecasting realised volatility from search volume and overnight sentiment: Evidence from China. (2022). Duong, Duy ; Huang, Chengcheng ; Han, Wei ; Wang, Ping. In: Research in International Business and Finance. RePEc:eee:riibaf:v:62:y:2022:i:c:s0275531922001222.

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2022Global risks, the macroeconomy, and asset prices. (2022). Costola, Michele ; Donadelli, Michael ; Gerotto, Luca ; Gufler, Ivan. In: Empirical Economics. RePEc:spr:empeco:v:63:y:2022:i:5:d:10.1007_s00181-022-02205-9.

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2022The role of investor attention in global asset price variation during the invasion of Ukraine. (2022). Horvath, Matu ; Staek, Daniel ; Halouskova, Martina. In: Finance Research Letters. RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004755.

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2022Can gold and bitcoin hedge against the COVID-19 related news sentiment risk? New evidence from a NARDL approach. (2022). Zuo, Xuguang ; Huang, Jiaxin ; Zhang, Hongwei ; Niu, Zibo ; Zhu, Xuehong. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722005414.

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2022Renewable energy stocks forecast using Twitter investor sentiment and deep learning. (2022). Naranpanawa, Athula ; Su, Jen-Je ; Constantino, Michel ; Herrera, Gabriel Paes. In: Energy Economics. RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322004170.

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2022Impacts of relatively rational and irrational investor sentiment on realized volatility. (2022). Chen, Jihkuang ; Lai, Hungcheng ; Tseng, Tsengchan. In: Asian Economic Journal. RePEc:bla:asiaec:v:36:y:2022:i:4:p:458-478.

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2022As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity. (2022). de Massis, Alfredo ; Colladon, Andrea Fronzetti ; Benedetti, Carlotta ; Rovelli, Paola. In: Journal of Business Research. RePEc:eee:jbrese:v:139:y:2022:i:c:p:692-700.

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2022Carbon price prediction models based on online news information analytics. (2022). Xia, Yan ; Zhang, Fang. In: Finance Research Letters. RePEc:eee:finlet:v:46:y:2022:i:pa:s1544612322001143.

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2022Evaluating and improving social awareness of energy communities through semantic network analysis of online news. (2022). Pisello, A L ; Segneri, L ; Colladon, Fronzetti A ; Piselli, C. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:167:y:2022:i:c:s1364032122006761.

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2022The Efficiency Gap. (2020). Fissler, Tobias ; Dimitriadis, Timo ; Ziegel, Johanna F. In: Papers. RePEc:arx:papers:2010.14146.

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2022Nonparametric expected shortfall forecasting incorporating weighted quantiles. (2022). Wang, Chao ; Storti, Giuseppe. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:1:p:224-239.

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2022Optimal and robust combination of forecasts via constrained optimization and shrinkage. (2022). Vrins, Frederic ; Gambetti, Paolo ; Roccazzella, Francesco. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:1:p:97-116.

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2022Dynamic large financial networks via conditional expected shortfalls. (2022). Caporin, Massimiliano ; Maillet, Bertrand B ; Bonaccolto, Giovanni. In: European Journal of Operational Research. RePEc:eee:ejores:v:298:y:2022:i:1:p:322-336.

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2022A procedure for upgrading linear-convex combination forecasts with an application to volatility prediction. (2022). Wilfling, Bernd ; Monschang, Verena. In: CQE Working Papers. RePEc:cqe:wpaper:9722.

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2022COVID?19 crisis and risk spillovers to developing economies: Evidence from Africa. (2022). Zopounidis, Constantin ; Boubaker, Sabri ; Benkraiem, Ramzi ; Akhtaruzzaman, MD. In: Journal of International Development. RePEc:wly:jintdv:v:34:y:2022:i:4:p:898-918.

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2022Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain. (2022). Fernandez-Ramirez, Luis M ; Carneiro, Tatiane C. In: Applied Energy. RePEc:eee:appene:v:314:y:2022:i:c:s0306261922003555.

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2022Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH?LSTM based Approach. (2022). Gupta, Shivang ; Ghate, Kshitish ; Mishra, Aswini Kumar ; Kakade, Kshitij. In: Intelligent Systems in Accounting, Finance and Management. RePEc:wly:isacfm:v:29:y:2022:i:2:p:103-117.

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2022Non-Crossing Dual Neural Network: Joint Value at Risk and Conditional Tail Expectation estimations with non-crossing conditions.. (2022). Guillen, Montserrat ; Coia, Vincenzo ; Sanchez, Carlos Salort ; Vidal-Llana, Xenxo. In: IREA Working Papers. RePEc:ira:wpaper:202215.

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2022Estimating tail-risk using semiparametric conditional variance with an application to meme stocks. (2022). Khanom, Najrin ; Daddona, Stefano. In: International Review of Economics & Finance. RePEc:eee:reveco:v:82:y:2022:i:c:p:241-260.

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2022Cross-sectional quantile regression for estimating conditional VaR of returns during periods of high volatility. (2022). Guillen, Montserrat ; Vidal-Llana, Xenxo. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:63:y:2022:i:c:s106294082200170x.

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2022.

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2022Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model. (2022). Ju, Yanbing ; Zeng, Yongchao ; Dong, Peiwu ; Zhang, Tianyu. In: Journal of Business Research. RePEc:eee:jbrese:v:139:y:2022:i:c:p:90-105.

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2022Improved Bass model for predicting the popularity of product information posted on microblogs. (2022). He, BO ; Tang, Zhongjun ; Han, Zhongya. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162521008933.

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2022National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?. (2022). Cho, Youngsang ; Lee, Juyong. In: Energy. RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221026153.

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2022From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2022). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Papers. RePEc:arx:papers:2204.10154.

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2022Distributional neural networks for electricity price forecasting. (2022). Ziel, Florian ; Weron, Rafal ; Narajewski, Michal ; Marcjasz, Grzegorz. In: Papers. RePEc:arx:papers:2207.02832.

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2022Trading on short-term path forecasts of intraday electricity prices. (2022). Weron, Rafa ; Marcjasz, Grzegorz ; Serafin, Tomasz. In: Energy Economics. RePEc:eee:eneeco:v:112:y:2022:i:c:s014098832200281x.

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2022Volatility in natural resources prices and economic performance: Evidence from BRICS economies. (2022). Cong, Phan The ; Ramos, Carlos Samuel ; Jain, Vipin ; Kashif, Maryam ; Mughal, Nafeesa ; Wen, Jun. In: Resources Policy. RePEc:eee:jrpoli:v:75:y:2022:i:c:s0301420721004803.

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2022Hydrocarbon prices shocks, fiscal stability and consolidation: Evidence from Russian Federation. (2022). Sohag, Kazi ; Mirnezami, Seyed Reza ; Belyaeva, Zhanna ; Sokhanvar, Amin. In: Resources Policy. RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000848.

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2022Oil-growth nexus in Nigeria: An ADL-MIDAS approach. (2022). Salisu, Afees ; Atoi, Ngozi V ; Tumala, Mohammed M. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722002021.

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2022An Infinite Hidden Markov Model with Stochastic Volatility. (2022). Yang, Qiao ; Maheu, John M ; Li, Chenxing. In: MPRA Paper. RePEc:pra:mprapa:115456.

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2022Global oil price uncertainty and excessive corporate debt in China. (2022). Yan, Cheng ; Jin, Chenglu ; Qin, Jianing ; Ren, Xiaohang. In: Energy Economics. RePEc:eee:eneeco:v:115:y:2022:i:c:s0140988322005072.

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2022The economic cost of environmental laws: Volatility transmission mechanism and remedies. (2022). Farmanesh, Panteha ; Qian, Yudan ; Zhou, Shuai. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722003889.

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2022A Critical Review of Short-Term Water Demand Forecasting Tools—What Method Should I Use?. (2022). Hosseininasab, Hassan ; Zare, Hasan Khademi ; Niknam, Azar ; Herrera, Manuel ; Mostafaeipour, Ali. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:9:p:5412-:d:806485.

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2022The role of information and experience for households’ inflation expectations. (2022). Enders, Zeno ; Conrad, Christian ; Glas, Alexander. In: European Economic Review. RePEc:eee:eecrev:v:143:y:2022:i:c:s001429212100283x.

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2022Heterogeneity of beliefs and information rigidity in the crude oil market: Evidence from survey data. (2022). Czudaj, Robert. In: European Economic Review. RePEc:eee:eecrev:v:143:y:2022:i:c:s0014292122000071.

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2022Are macroeconomic forecasters optimists or pessimists? A reassessment of survey based forecasts. (2022). Pouliot, William ; Pilbeam, Keith ; Huang, Rong. In: Journal of Economic Behavior & Organization. RePEc:eee:jeborg:v:197:y:2022:i:c:p:706-724.

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2022Global economic uncertainty and suicide: Worldwide evidence. (2022). Claveria, Oscar. In: Social Science & Medicine. RePEc:eee:socmed:v:305:y:2022:i:c:s0277953622003471.

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2022Uncertainty measures from partially rounded probabilistic forecast surveys. (2022). Hartmann, Matthias ; Glas, Alexander. In: Quantitative Economics. RePEc:wly:quante:v:13:y:2022:i:3:p:979-1022.

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2022Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?. (2022). Perry, Sadorsky ; Abul, Basher Syed. In: MPRA Paper. RePEc:pra:mprapa:113293.

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2022Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?. (2022). Zhang, Yue-Jun ; Xing, Li-Min. In: Energy Economics. RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322001852.

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2022Forecasting solar stock prices using tree-based machine learning classification: How important are silver prices?. (2022). Sadorsky, Perry. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:61:y:2022:i:c:s1062940822000572.

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2022Forecasting crude oil market returns: Enhanced moving average technical indicators. (2022). Zhang, Yaojie ; Wang, Yudong ; Liu, LI ; Wen, Danyan. In: Resources Policy. RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000216.

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2022Geopolitical risk trends and crude oil price predictability. (2022). Wang, Yudong ; Zhang, Yaojie ; He, Mengxi. In: Energy. RePEc:eee:energy:v:258:y:2022:i:c:s0360544222017273.

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2022Dynamic Black Litterman portfolios with views derived via CNN-BiLSTM predictions. (2022). Sharma, Anil K ; Barua, Ronil. In: Finance Research Letters. RePEc:eee:finlet:v:49:y:2022:i:c:s154461232200335x.

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2022Intrinsic decompositions in gold forecasting. (2022). Plakandaras, Vasilios ; Ji, Qiang. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:28:y:2022:i:c:s2405851322000034.

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2022Forecasting the Volatility of European Union Allowance Futures with Climate Policy Uncertainty Using the EGARCH-MIDAS Model. (2022). Yin, Xuebao ; Wu, Xinyu ; Mei, Xueting. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:7:p:4306-:d:787154.

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2022Uncertainty index and stock volatility prediction: evidence from international markets. (2022). Xu, Weijun ; Zhang, Weiguo ; Gong, Xue ; Li, Zhe. In: Financial Innovation. RePEc:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-022-00361-6.

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2022Political, economic, and financial country risks and the volatility of the South African Exchange Traded Fund market: A GARCH-MIDAS approach. (2022). Muzindutsi, Paul-Francois ; Peerbhai, Faeezah ; Kunjal, Damien. In: Risk Management. RePEc:pal:risman:v:24:y:2022:i:3:d:10.1057_s41283-022-00093-y.

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2022Stock Volatility Prediction using Time Series and Deep Learning Approach. (2022). Sen, Jaydip ; Bhowmick, Hrisav ; Chatterjee, Ananda. In: Papers. RePEc:arx:papers:2210.02126.

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2022When are the effects of economic policy uncertainty on oil–stock correlations larger? Evidence from a regime-switching analysis. (2022). Wang, Deqing ; Lv, Tao ; Ding, Zhihua ; Zhang, Huiying ; Liu, Zhenhua. In: Economic Modelling. RePEc:eee:ecmode:v:114:y:2022:i:c:s0264999322001870.

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2022Forecasting volatility of EUA futures: New evidence. (2022). Umar, Muhammad ; Liang, Chao ; Huang, Yisu ; Guo, Xiaozhu. In: Energy Economics. RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322001918.

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2022Predicting the volatility of Chinas new energy stock market: Deep insight from the realized EGARCH-MIDAS model. (2022). Zhao, Chenchen ; Wang, LU ; Liang, Chao ; Jiu, Song. In: Finance Research Letters. RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322002306.

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2022U.S. grain commodity futures price volatility: Does trade policy uncertainty matter?. (2022). Mei, Dexiang ; Xie, Yutang. In: Finance Research Letters. RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322002689.

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2022Is gold a long-run hedge, diversifier, or safe haven for oil? Empirical evidence based on DCC-MIDAS. (2022). Lee, Chien-Chiang ; Liu, Min. In: Resources Policy. RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722001519.

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2022How macro-variables drive crude oil volatility? Perspective from the STL-based iterated combination method. (2022). Pan, Zhigang ; Zhang, Yaojie ; Wang, Xunxiao. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001052.

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2022Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework. (2022). Umar, Muhammad ; Liang, Chao ; Wang, LU ; Hong, Yanran. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001155.

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2022Forecasting Pakistan stock market volatility: Evidence from economic variables and the uncertainty index. (2022). Li, Tao ; Ma, Feng ; Guo, Qiang ; Ghani, Maria. In: International Review of Economics & Finance. RePEc:eee:reveco:v:80:y:2022:i:c:p:1180-1189.

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2022Climate policy uncertainty and world renewable energy index volatility forecasting. (2022). , Toan ; Ma, Feng ; Umar, Muhammad ; Liang, Chao. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:182:y:2022:i:c:s0040162522003341.

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2022Natural gas volatility predictability in a data-rich world. (2022). Huang, Dengshi ; Li, Pan ; Ma, Feng ; Lu, Fei. In: International Review of Financial Analysis. RePEc:eee:finana:v:83:y:2022:i:c:s105752192200179x.

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2022Econometric modelling of exchange rate volatility using mixed-frequency data. (2022). Chaturvedi, Priya ; Kumar, Kuldeep. In: MPRA Paper. RePEc:pra:mprapa:115222.

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2022Geopolitical risk and stock market volatility in emerging markets: A GARCH – MIDAS approach. (2022). Olaniran, Abeeb ; Lasisi, Lukman ; Ogbonna, Ahamuefula E ; Salisu, Afees A. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:62:y:2022:i:c:s1062940822001024.

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2022Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model. (2022). Wang, LU ; Lai, Xiaodong ; Xia, Zhenglan ; Liang, Chao. In: Energy Economics. RePEc:eee:eneeco:v:116:y:2022:i:c:s0140988322005667.

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2022Assessing the influence of news indicator on volatility of precious metals prices through GARCH-MIDAS model: A comparative study of pre and during COVID-19 period. (2022). Raza, Syed ; Khan, Komal Akram ; Zhang, Hongyu ; Khaskheli, Asadullah. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722003956.

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2022Sequential optimization three-way decision model with information gain for credit default risk evaluation. (2022). Zhou, Wei ; Lan, Dao ; Wang, Run ; Zhang, Xin ; Shen, Feng. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:3:p:1116-1128.

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2022The economic value of high-frequency data in equity-oil hedge. (2022). Kuang, Wei. In: Energy. RePEc:eee:energy:v:239:y:2022:i:pa:s0360544221021526.

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2022Calibration alternatives to logistic regression and their potential for transferring the dispersion of discriminatory power into uncertainties of probabilities of default. (2022). Wosnitza, Jan Henrik. In: Discussion Papers. RePEc:zbw:bubdps:042022.

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2022A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information. (2022). Osman, Ibrahim H ; Anouze, Abdel Latef ; Bou-Hamad, Imad. In: Annals of Operations Research. RePEc:spr:annopr:v:308:y:2022:i:1:d:10.1007_s10479-021-04024-0.

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2022Banks to basics! Why banking regulation should focus on equity. (2022). le Quang, Gaetan ; Durand, Pierre. In: European Journal of Operational Research. RePEc:eee:ejores:v:301:y:2022:i:1:p:349-372.

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2022EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks. (2022). Virag, Miklos ; Kristof, Tamas. In: Research in International Business and Finance. RePEc:eee:riibaf:v:61:y:2022:i:c:s0275531922000320.

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2022Risk Assessment of Polish Joint Stock Companies: Prediction of Penalties or Compensation Payments. (2022). Szymura, Aleksandra. In: Risks. RePEc:gam:jrisks:v:10:y:2022:i:5:p:102-:d:813938.

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2022Mining semantic features in current reports for financial distress prediction: Empirical evidence from unlisted public firms in China. (2022). Ding, Yong ; Wang, Zhao ; Yuan, Yufei ; Lyu, Ximei ; Jiang, Cuiqing. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:3:p:1086-1099.

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2022High-frequency monitoring of growth at risk. (2022). Sahuc, Jean-Guillaume ; Mogliani, Matteo ; Ferrara, Laurent. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:2:p:582-595.

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2022Monitoring daily unemployment at risk.. (2022). Uribe, Jorge M ; Garron, Ignacio ; Chulia, Helena. In: IREA Working Papers. RePEc:ira:wpaper:202211.

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2022Forecasting total energy’s CO2 emissions. (2022). Leccadito, Arturo ; Algieri, Bernardina ; Iania, Leonardo. In: LIDAM Discussion Papers LFIN. RePEc:ajf:louvlf:2022003.

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2022A babel of web-searches: Googling unemployment during the pandemic. (2022). Mazzarella, Gianluca ; Geraci, Andrea ; Colagrossi, Marco ; Caperna, Giulio. In: Labour Economics. RePEc:eee:labeco:v:74:y:2022:i:c:s0927537121001329.

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2022When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage. (2022). Simoni, Anna ; Ferrara, Laurent. In: Post-Print. RePEc:hal:journl:hal-03919944.

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2022A Neural Phillips Curve and a Deep Output Gap. (2022). Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2202.04146.

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2022Learning Probability Distributions in Macroeconomics and Finance. (2022). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2204.06848.

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2022Distributional Correlation--Aware Knowledge Distillation for Stock Trading Volume Prediction. (2022). Sun, XU ; Harimoto, Keiko ; Bao, Ruihan ; Zhang, Zhiyuan ; Li, Lei. In: Papers. RePEc:arx:papers:2208.07232.

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2022A Comparative Study of Time Series Forecasting of Solar Energy Based on Irradiance Classification. (2022). Holler, Robert ; Thaker, Jayesh. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:8:p:2837-:d:792889.

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2022Reframing Demand Forecasting: A Two-Fold Approach for Lumpy and Intermittent Demand. (2022). Mladeni, Dunja ; Fortuna, Bla ; Roanec, Joe Martin. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:15:p:9295-:d:875050.

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2022Artificial Intelligence for Electricity Supply Chain automation. (2022). Lenk, Steve ; Klaiber, Stefan ; Dreher, Alexander ; Scholz, Christoph ; Marchand, Sophie ; Lehna, Malte ; Richter, Lucas. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:163:y:2022:i:c:s1364032122003653.

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2022Empirical evidence of the impact of mobility on property crimes during the first two waves of the COVID-19 pandemic. (2022). Sudarsanam, Nandan ; Jaiswal, Saish ; Subburaj, Rahul ; Paramasivan, Kandaswamy. In: Palgrave Communications. RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01393-0.

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2022Counterfactual analysis of the impact of the first two waves of the COVID-19 pandemic on the reporting and registration of missing people in India. (2022). Sudarsanam, Nandan ; Subramani, Brinda ; Paramasivan, Kandaswamy. In: Palgrave Communications. RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01426-8.

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2022Deep Growth-at-Risk Model: Nowcasting the 2020 Pandemic Lockdown Recession in Small Open Economies. (2022). Yanchev, Mihail. In: Economic Studies journal. RePEc:bas:econst:y:2022:i:7:p:20-41.

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2022Probabilistic Forecasting for Demand of a Bike-Sharing Service Using a Deep-Learning Approach. (2022). Lee, Sangbok ; Chung, Kwanghun ; Lim, Heejong. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:23:p:15889-:d:987672.

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2022A Neural Network-Based Distributional Constraint Learning Methodology for Mixed-Integer Stochastic Optimization. (2022). Mora, Carlos Ruiz ; Mata, Antonio Alcantara. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:36072.

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2022A solution for M5 Forecasting - Uncertainty: Hybrid gradient boosting and autoregressive recurrent neural network for quantile estimation. (2022). Choong, Shin Siang ; Chiew, Ernest. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1442-1447.

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2022A white-boxed ISSM approach to estimate uncertainty distributions of Walmart sales. (2022). Marin, Ignacio ; Egert, Katharina ; de Rezende, Rafael ; Thompson, Guilherme. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1460-1467.

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2022M5 competition uncertainty: Overdispersion, distributional forecasting, GAMLSS, and beyond. (2022). Ziel, Florian. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1546-1554.

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2022A pattern classification methodology for interval forecasts of short-term electricity prices based on hybrid deep neural networks: A comparative analysis. (2022). Zhou, Kaile ; Zheng, Qingru ; Yang, Yudie ; Shao, Zhen ; Liu, Chen. In: Applied Energy. RePEc:eee:appene:v:327:y:2022:i:c:s0306261922013721.

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2022Inflation in Pakistan: High-Frequency Estimation and Forecasting. (2022). Memon, Sonan. In: PIDE-Working Papers. RePEc:pid:wpaper:2022:12.

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2022.

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2022Neural forecasting of the Italian sovereign bond market with economic news. (2022). Tiozzo Pezzoli, Luca ; Tosetti, Elisa ; Consoli, Sergio. In: Journal of the Royal Statistical Society Series A. RePEc:bla:jorssa:v:185:y:2022:i:s2:p:s197-s224.

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2022Model averaging for interval-valued data. (2022). Wang, Shouyang ; Alan, ; Zhang, Xinyu ; Sun, Yuying. In: European Journal of Operational Research. RePEc:eee:ejores:v:301:y:2022:i:2:p:772-784.

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2022Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach. (2022). Wang, Ping ; Zhu, Bangzhu. In: Energy Economics. RePEc:eee:eneeco:v:115:y:2022:i:c:s014098832200490x.

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2022Quarterly GDP Estimates for the German States. (2022). Lehmann, Robert ; Wikman, Ida. In: MPRA Paper. RePEc:pra:mprapa:112642.

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2022Macroeconomic Predictions Using Payments Data and Machine Learning. (2022). Desai, Ajit ; Chapman, James. In: Staff Working Papers. RePEc:bca:bocawp:22-10.

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2022Forecasting Regional Industrial Production with High-Frequency Electricity Consumption Data. (2022). Mohrle, Sascha ; Lehmann, Robert. In: CESifo Working Paper Series. RePEc:ces:ceswps:_9917.

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2022Macroeconomic Predictions using Payments Data and Machine Learning. (2022). Desai, Ajit ; James, . In: Papers. RePEc:arx:papers:2209.00948.

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2022Quarterly GDP Estimates for the German States. (2022). Wikman, Ida ; Lehmann, Robert. In: ifo Working Paper Series. RePEc:ces:ifowps:_370.

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2022Real-time macroeconomic monitoring using mixed frequency data: Evidence from China. (2022). Xue, Rui ; Ge, Chanyuan ; He, Jie ; Zhang, Wei. In: Economic Modelling. RePEc:eee:ecmode:v:117:y:2022:i:c:s0264999322003054.

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2022.

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2022Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports. (2022). Wunderlich, Fabian ; Memmert, Daniel ; Garnica-Caparros, Marc. In: Information Systems and e-Business Management. RePEc:spr:infsem:v:20:y:2022:i:3:d:10.1007_s10257-022-00560-9.

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2022Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic. (2022). Gabauer, David ; de Gracia, Fernando Perez ; Chatziantoniou, Ioannis. In: Energy Economics. RePEc:eee:eneeco:v:111:y:2022:i:c:s0140988322002195.

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2022Forecasting oil and gold volatilities with sentiment indicators under structural breaks. (2022). GUPTA, RANGAN ; Demirer, Riza ; Ji, Qiang ; Luo, Jiawen. In: Energy Economics. RePEc:eee:eneeco:v:105:y:2022:i:c:s014098832100596x.

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2022Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data. (2022). GUPTA, RANGAN ; Pierdzioch, Christian ; Karmakar, Sayar. In: Working Papers. RePEc:pre:wpaper:202201.

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2022Geopolitical risk and dynamic connectedness between commodity markets. (2022). Xu, Jun ; Gong, XU. In: Energy Economics. RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322001979.

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2022Forecasting output growth of advanced economies over eight centuries: The role of gold market volatility as a proxy of global uncertainty. (2022). Salisu, Afees ; GUPTA, RANGAN ; Das, Sonali ; Karmakar, Sayar. In: Resources Policy. RePEc:eee:jrpoli:v:75:y:2022:i:c:s0301420721005341.

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2022Dependence between renewable energy related critical metal futures and producer equity markets across varying market conditions. (2022). Junttila, Juha ; Uddin, Gazi Salah ; Kits, Ilya ; Borg, Elin. In: Renewable Energy. RePEc:eee:renene:v:190:y:2022:i:c:p:879-892.

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2022Return and volatility linkages between international energy markets and Chinese commodity market. (2022). Shang, Zezhong ; Li, Jian Feng ; Sun, Guanglin. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:179:y:2022:i:c:s0040162522001743.

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2022Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs. (2022). Mirza, Nawazish ; Naqvi, Bushra ; Abbas, Syed Kumail. In: Annals of Operations Research. RePEc:spr:annopr:v:313:y:2022:i:1:d:10.1007_s10479-021-04367-8.

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2022Forecasting crude oil price volatility out-of-sample using news-based geopolitical risk index: What forms of nonlinearity help improve forecast accuracy the most?. (2022). Nonejad, Nima. In: Finance Research Letters. RePEc:eee:finlet:v:46:y:2022:i:pa:s1544612321003408.

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2022Oil tail risks and the forecastability of the realized variance of oil-price: Evidence from over 150 years of data. (2022). Salisu, Afees ; Pierdzioch, Christian ; GUPTA, RANGAN. In: Finance Research Letters. RePEc:eee:finlet:v:46:y:2022:i:pb:s1544612321003809.

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2022Evidence from a multiple and partial wavelet analysis on the impact of geopolitical concerns on stock markets in North-East Asian countries. (2022). Choi, Sun-Yong. In: Finance Research Letters. RePEc:eee:finlet:v:46:y:2022:i:pb:s1544612321004451.

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2022Can the return connectedness indices from grey energy to natural gas help to forecast the natural gas returns?. (2022). Li, Xiafei ; Guo, Qiang ; Luo, Keyu. In: Energy Economics. RePEc:eee:eneeco:v:109:y:2022:i:c:s0140988322001244.

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2022The Impact of Uncertainties on Crude Oil Prices: Based on a Quantile-on-Quantile Method. (2022). Failler, Pierre ; Liu, Yue ; Ding, Yan. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:10:p:3510-:d:813098.

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2022The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic. (2022). Zhang, Hongwei ; Ma, Feng ; Niu, Zibo. In: Energy Economics. RePEc:eee:eneeco:v:112:y:2022:i:c:s0140988322002791.

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2022The time-varying effects of trade policy uncertainty and geopolitical risks shocks on the commodity market prices: Evidence from the TVP-VAR-SV approach. (2022). Gao, Wang ; Niu, Zibo ; Yang, Cai. In: Resources Policy. RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000514.

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2022The relationship between global stock and precious metals under Covid-19 and happiness perspectives. (2022). Quc, Nguyn Khc ; Vn, LE. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722000836.

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2022Climate risks and forecastability of the realized volatility of gold and other metal prices. (2022). Pierdzioch, Christian ; GUPTA, RANGAN. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001295.

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2022Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks. (2022). Guo, Jiaqi ; Long, Shaobo. In: Research in International Business and Finance. RePEc:eee:riibaf:v:62:y:2022:i:c:s0275531922000770.

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2022Contagious diseases and gold: Over 700 years of evidence from quantile regressions. (2022). GUPTA, RANGAN ; Shiba, Sisa ; Nel, Jacobus ; Bouri, Elie. In: Finance Research Letters. RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004573.

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2022Rare disaster risks and gold over 700 years: Evidence from nonparametric quantile regressions. (2022). GUPTA, RANGAN ; Balcilar, Mehmet ; Nel, Jacobus. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004962.

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2022Forecasting crude oil market volatility: A newspaper-based predictor regarding petroleum market volatility. (2022). Wang, Yudong ; Zhang, Yaojie ; He, Mengxi ; Song, Yixuan. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722005360.

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2022Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?. (2022). GUPTA, RANGAN ; Pierdzioch, Christian ; Pienaar, Daniel ; Epni, Ouzhan. In: Energy Economics. RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322003723.

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2022Extremal Dependence in Australian Electricity Markets. (2022). Han, Lin ; Trueck, Stefan ; Cribben, Ivor. In: Papers. RePEc:arx:papers:2202.09970.

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2022Narratives in economics. (2021). Reccius, Matthias ; Roos, Michael. In: Papers. RePEc:arx:papers:2109.02331.

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2022On single point forecasts for fat-tailed variables. (2022). Cirillo, Pasquale ; Bar-Yam, Yaneer ; Taleb, Nassim Nicholas. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:2:p:413-422.

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2022Revisions in the Norwegian National Accounts: accuracy, unbiasedness and efficiency in preliminary figures. (2022). Skjerpen, Terje ; Hungnes, HÃ¥vard ; Helliesen, Magnus Kvle. In: Empirical Economics. RePEc:spr:empeco:v:62:y:2022:i:3:d:10.1007_s00181-021-02065-9.

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2022“An application of deep learning for exchange rate forecasting”. (2022). Sorić, Petar ; Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: AQR Working Papers. RePEc:aqr:wpaper:202201.

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2022An application of deep learning for exchange rate forecasting.. (2022). Sorić, Petar ; Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: IREA Working Papers. RePEc:ira:wpaper:202201.

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2022Exchange rate predictability with nine alternative models for BRICS countries. (2022). Salisu, Afees ; GUPTA, RANGAN ; Kim, Won Joong. In: Journal of Macroeconomics. RePEc:eee:jmacro:v:71:y:2022:i:c:s0164070421000732.

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2022Model-Free Reinforcement Learning for Asset Allocation. (2022). Mbaka, Timothy ; Kamashazi, Peruth ; Ajiboye, Eniola ; Oshingbesan, Adebayo. In: Papers. RePEc:arx:papers:2209.10458.

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2022Out-of-sample forecasting of foreign exchange rates: The band spectral regression and LASSO. (2022). Wada, Tatsuma. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:128:y:2022:i:c:s026156062200122x.

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2022Betting on a buzz, mispricing and inefficiency in online sportsbooks. (2021). Singleton, Carl ; Reade, James J ; Ramirez, Philip. In: Economics Discussion Papers. RePEc:rdg:emxxdp:em-dp2021-10.

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2022Weighted Elo rating for tennis match predictions. (2022). De Angelis, Luca ; Angelini, Giovanni ; Candila, Vincenzo. In: European Journal of Operational Research. RePEc:eee:ejores:v:297:y:2022:i:1:p:120-132.

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2022Post-script—Retail forecasting: Research and practice. (2022). Ma, Shaohui ; Kolassa, Stephan ; Fildes, Robert. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1319-1324.

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2022360° Retail Business Analytics by Adopting Hybrid Machine Learning and a Business Intelligence Approach. (2022). Alqhtani, Samar M ; Irfan, Muhammad ; Rahman, Saifur ; Abosaq, Hamad Ali ; Shaf, Ahmad ; Ferzund, Javed ; Ashraf, Muhammad Shoaib ; Alqhatani, Abdulmajeed. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:19:p:11942-:d:921627.

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2022Oil price volatility predictability: New evidence from a scaled PCA approach. (2022). Ma, Feng ; Liang, Chao ; He, Feng ; Guo, Yangli. In: Energy Economics. RePEc:eee:eneeco:v:105:y:2022:i:c:s0140988321005648.

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2022International stock market risk contagion during the COVID-19 pandemic. (2022). Liu, YI ; Wang, Qian ; Wei, YU. In: Finance Research Letters. RePEc:eee:finlet:v:45:y:2022:i:c:s1544612321002269.

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2022Forecasting Chinas crude oil futures volatility: New evidence from the MIDAS-RV model and COVID-19 pandemic. (2022). Li, Xiafei ; Ye, Yong ; Chen, Zhonglu. In: Resources Policy. RePEc:eee:jrpoli:v:75:y:2022:i:c:s030142072100461x.

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2022To jump or not to jump: momentum of jumps in crude oil price volatility prediction. (2022). Zhang, Yaojie ; Wang, Yudong ; Ma, Feng ; Wei, YU. In: Financial Innovation. RePEc:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-022-00360-7.

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2022Information connectedness of international crude oil futures: Evidence from SC, WTI, and Brent. (2022). Wang, Yudong ; Zhang, Yaojie ; Wei, YU. In: International Review of Financial Analysis. RePEc:eee:finana:v:81:y:2022:i:c:s1057521922000709.

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2022Asymmetric risk transfer in global equity markets: An extended sample that includes the COVID pandemic period. (2022). Abdoh, Hussein ; Awartani, Basel ; Maghyereh, Aktham. In: The Journal of Economic Asymmetries. RePEc:eee:joecas:v:25:y:2022:i:c:s170349492100044x.

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2022Multi-perspective crude oil price forecasting with a new decomposition-ensemble framework. (2022). Sun, Shaolong ; Zhao, Zhengling ; Guo, Jingjun. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001854.

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2022Forecasting Chinas crude oil futures volatility: How to dig out the information of other energy futures volatilities?. (2022). He, Mengxi ; Jin, Daxiang ; Zhang, Yaojie ; Xing, LU. In: Resources Policy. RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722002987.

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2022Out-of-sample prediction of Bitcoin realized volatility: Do other cryptocurrencies help?. (2022). Zhang, Yaojie ; He, Mengxi ; Yi, Yongsheng. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:62:y:2022:i:c:s106294082200081x.

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2022Forecasting volatility during the outbreak of Russian invasion of Ukraine: application to commodities, stock indices, currencies, and cryptocurrencies. (2022). Maecka, Marta ; Fiszeder, Piotr. In: Equilibrium. Quarterly Journal of Economics and Economic Policy. RePEc:pes:ierequ:v:17:y:2022:i:4:p:939-967.

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2022Macroeconomic attention, economic policy uncertainty, and stock volatility predictability. (2022). Chevallier, Julien ; Huang, Dengshi ; Guo, Yangli ; Ma, Feng. In: International Review of Financial Analysis. RePEc:eee:finana:v:84:y:2022:i:c:s1057521922002897.

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2022Stock market return predictability: A combination forecast perspective. (2022). Qi, Jipeng ; Lv, Wendai. In: International Review of Financial Analysis. RePEc:eee:finana:v:84:y:2022:i:c:s105752192200326x.

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2022Forecasting US stock market returns by the aggressive stock-selection opportunity. (2022). Duc, Toan Luu ; Liang, Chao. In: Finance Research Letters. RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322005025.

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2022German forecasters’ narratives: How informative are German business cycle forecast reports?. (2022). Muller, Karsten. In: Empirical Economics. RePEc:spr:empeco:v:62:y:2022:i:5:d:10.1007_s00181-021-02100-9.

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2022Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis. (2022). Simionescu, Mihaela. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:182:y:2022:i:c:s0040162522003912.

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2022Look who’s Talking: Individual Committee members’ impact on inflation expectations. (2022). Kwiatkowski, Andrzej ; Menzies, Craig ; Rambaccussing, Dooruj. In: Dundee Discussion Papers in Economics. RePEc:dun:dpaper:305.

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2022Medición de Incertidumbre Económica en Redes Sociales en Base a Modelos de Procesamiento de Lenguaje Natural. (2022). Aromi, Daniel J. In: Working Papers. RePEc:aoz:wpaper:179.

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2022It is not just What you say, but How you say it: Why tonality matters in central bank communication. (2022). Shen, Aizhong ; Stan, Raluca ; Chen, Denghui ; Gu, Chen. In: Journal of Empirical Finance. RePEc:eee:empfin:v:68:y:2022:i:c:p:216-231.

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2022A social CRM analytic framework for improving customer retention, acquisition, and conversion. (2022). el Faker, Abdellatif ; Oubrich, Mourad ; el Ghazi, Hamid ; Lamrhari, Soumaya. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521007095.

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2022A decision-analytic framework for interpretable recommendation systems with multiple input data sources: a case study for a European e-tailer. (2022). Geuens, S ; Bock, K W ; Coussement, K. In: Annals of Operations Research. RePEc:spr:annopr:v:315:y:2022:i:2:d:10.1007_s10479-021-03979-4.

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2022A survey on machine learning methods for churn prediction. (2022). Nadif, Mohamed ; Affeldt, Severine ; Geiler, Louis. In: Post-Print. RePEc:hal:journl:hal-03824873.

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2022Implementation of penalized survival models in churn prediction of vehicle insurance. (2022). Xu, Bing ; Zhao, Yulu ; Zhang, Lei ; Chen, Yan. In: Journal of Business Research. RePEc:eee:jbrese:v:153:y:2022:i:c:p:162-171.

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2022The impact of COVID -19 on offshore wind project productivity – A case study. (2022). Neve, H H ; Enevoldsen, P ; Lorentzen, S ; Lerche, J. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:158:y:2022:i:c:s1364032122001125.

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2022Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review. (2022). Malik, Hasmat ; Rizwan, Mohammad ; Singh, Upma ; Garcia, Fausto Pedro. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:6:p:2291-:d:776036.

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2022Regression markets and application to energy forecasting. (2022). Kazempour, Jalal ; Han, Liyang ; Pinson, Pierre. In: TOP: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:topjnl:v:30:y:2022:i:3:d:10.1007_s11750-022-00631-7.

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2022Short-term wind power forecasting with an intermittency-trait-driven methodology. (2022). Zhang, Guoxing ; Yu, Lean ; Ma, Yixiang. In: Renewable Energy. RePEc:eee:renene:v:198:y:2022:i:c:p:872-883.

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2022Backcasting world trade growth using data reduction methods. (2022). Darné, Olivier ; Charles, Amelie. In: The World Economy. RePEc:bla:worlde:v:45:y:2022:i:10:p:3169-3191.

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2022Machine learning in marketing: A literature review, conceptual framework, and research agenda. (2022). Wu, Yuanyuan. In: Journal of Business Research. RePEc:eee:jbrese:v:145:y:2022:i:c:p:35-48.

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2022A review of very short-term wind and solar power forecasting. (2022). Browell, J ; Tawn, R. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:153:y:2022:i:c:s1364032121010285.

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2022Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction markets. (2022). Zaerpour, Nima ; Karimi, Majid. In: European Journal of Operational Research. RePEc:eee:ejores:v:300:y:2022:i:3:p:1035-1049.

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2022Scarring Effects of the COVID-19 Pandemic on the Italian Labour Market. (2022). Tealdi, Cristina ; Fiaschi, Davide. In: IZA Discussion Papers. RePEc:iza:izadps:dp15102.

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2022Optimal reconciliation with immutable forecasts. (2022). Li, Feng ; Panagiotelis, Anastasios ; Kang, Yanfei ; Zhang, Bohan. In: Papers. RePEc:arx:papers:2204.09231.

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2022Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates. (2022). Poon, Aubrey ; Mitchell, James ; McIntyre, Stuart ; Koop, Gary. In: Working Papers. RePEc:fip:fedcwq:93793.

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2022Using hierarchical aggregation constraints to nowcast regional economic aggregates. (2022). Poon, Aubrey ; Mitchell, James ; McIntyre, Stuart ; Koop, Gary. In: Economic Statistics Centre of Excellence (ESCoE) Discussion Papers. RePEc:nsr:escoed:escoe-dp-2022-04.

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2022Counterfactual Reconciliation: Incorporating Aggregation Constraints For More Accurate Causal Effect Estimates. (2022). Cengiz, Doruk ; Tekgu, Hasan. In: MPRA Paper. RePEc:pra:mprapa:114478.

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2022Forecasting unemployment in Brazil: A robust reconciliation approach using hierarchical data. (2022). Lila, Mauricio Franca ; Meira, Erick ; Cyrino, Fernando Luiz. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:82:y:2022:i:pb:s0038012122000830.

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2022The Future of Assisted Reproductive Technology Live Births in the United States. (2022). Tierney, Katherine. In: Population Research and Policy Review. RePEc:kap:poprpr:v:41:y:2022:i:5:d:10.1007_s11113-022-09731-5.

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2022Debiasing probabilistic oil production forecasts. (2022). Bratvold, Reidar B ; Nesvold, Erik. In: Energy. RePEc:eee:energy:v:258:y:2022:i:c:s0360544222016474.

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2022Predicting Politicians Misconduct: Evidence From Colombia. (2022). Vargas, J F ; Prem, M ; Gallego, J. In: Documentos de Trabajo. RePEc:col:000092:020504.

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2022Gotham city. Predicting ‘corrupted’ municipalities with machine learning. (2022). de Blasio, Guido ; D'Ignazio, Alessio ; Letta, Marco. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522005376.

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2022From Economic Evidence to Algorithmic Evidence: Artificial Intelligence and Blockchain: An Application to Anti-competitive Agreements. (2022). Marty, Frédéric. In: GREDEG Working Papers. RePEc:gre:wpaper:2022-32.

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2022Between Two Worlds: Methodological and Subjective Differences in Climate Impact Meta-Analyses. (2022). Palmer, Karen ; Sterner, Thomas ; Howard, Peter H. In: RFF Working Paper Series. RePEc:rff:dpaper:dp-22-10.

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2022Improving the accuracy of tail risk forecasting models by combining several realized volatility estimators. (2022). Storti, Giuseppe ; Gerlach, Richard ; Naimoli, Antonio. In: Economic Modelling. RePEc:eee:ecmode:v:107:y:2022:i:c:s026499932100290x.

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2022Unconventional policies effects on stock market volatility: The MAP approach. (2022). Otranto, Edoardo ; Gallo, Giampiero ; Lacava, Demetrio. In: Journal of the Royal Statistical Society Series C. RePEc:bla:jorssc:v:71:y:2022:i:5:p:1245-1265.

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2022A multi-step predictive deep reinforcement learning algorithm for HVAC control systems in smart buildings. (2022). Yan, Gaowei ; Yang, Zhile ; Ren, Mifeng ; Liu, Xiangfei ; Wu, Chengke ; Cheng, Lan ; Guo, Yuanjun. In: Energy. RePEc:eee:energy:v:259:y:2022:i:c:s0360544222017601.

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2022Predicting the equity market risk premium: A model selection approach. (2022). Ciner, Cetin. In: Economics Letters. RePEc:eee:ecolet:v:215:y:2022:i:c:s0165176522000970.

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2022The dangers of drawing cohort profiles from period data: a research note. (2022). Myrskyla, Mikko ; Nepomuceno, Marilia ; Camarda, Carlo Giovanni ; Basellini, Ugofilippo ; van Raalte, Alyson A. In: SocArXiv. RePEc:osf:socarx:frkcw.

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2022The dangers of drawing cohort profiles from period data: a research note. (2022). Myrskyla, Mikko ; Nepomuceno, Marilia R ; Camarda, Carlo Giovanni ; Basellini, Ugofilippo ; van Raalte, Alyson. In: Working Papers. RePEc:idg:wpaper:ayadh-ohbnm4x3q6cor1.

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2022Multi-population modelling and forecasting life-table death counts. (2022). Xu, Ruofan ; Haberman, Steven ; Shang, Han Lin. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:106:y:2022:i:c:p:239-253.

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2022Multi-step-ahead copper price forecasting using a two-phase architecture based on an improved LSTM with novel input strategy and error correction. (2022). Wu, Qiaosheng ; Cheng, Jinhua ; Wang, De Yun ; Luo, Hongyuan. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004056.

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2022Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvement. (2022). Hwang, Eunju. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:155:y:2022:i:c:s0960077921011425.

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2022Modeling and forecasting realized portfolio weights. (2022). Gribisch, Bastian ; Golosnoy, Vasyl. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:138:y:2022:i:c:s0378426622000048.

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2022Medium-term and long-term volatility forecasts for EUA futures with country-specific economic policy uncertainty indices. (2022). Umar, Muhammad ; Guo, Xiaozhu ; Luo, Qin ; Zhang, Lixia. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722000939.

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2022Natural resources rents and economic performance: Post-COVID-19 era for G7 countries. (2022). Kaur, Prabjot ; Vu, Hieu Minh ; Arif, Asma ; Mughal, Nafeesa ; Liying, Song ; Hordofa, Tolassa Temesgen. In: Resources Policy. RePEc:eee:jrpoli:v:75:y:2022:i:c:s0301420721004505.

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2022Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis.. (2022). Szafranek, Karol ; Rubaszek, Micha. In: Working Papers. RePEc:sgh:kaewps:2022078.

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2022A dynamic ensemble learning with multi-objective optimization for oil prices prediction. (2022). Li, Jianping ; Sun, Xiaolei ; Yuan, Jiaxin ; Feng, Qianqian ; Hao, Jun. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004007.

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2022Asymmetric multivariate HAR models for realized covariance matrix: A study based on volatility timing strategies. (2022). Zhang, YI ; Qu, Hui. In: Economic Modelling. RePEc:eee:ecmode:v:106:y:2022:i:c:s0264999321002881.

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2022A Comprehensive Study of Random Forest for Short-Term Load Forecasting. (2022). Dudek, Grzegorz. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:20:p:7547-:d:941080.

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2022.

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2022Household-based factors affecting uptake of biogas plants in Bangladesh: Implications for sustainable development. (2022). Wu, Yiyun ; Ahmad, Munir. In: Renewable Energy. RePEc:eee:renene:v:194:y:2022:i:c:p:858-867.

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2022Valid sequential inference on probability forecast performance. (2022). Ziegel, Johanna F ; Henzi, Alexander. In: Biometrika. RePEc:oup:biomet:v:109:y:2022:i:3:p:647-663..

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2022Forecasting economic activity using preselected predictors: the case of Cyprus. (2022). Pashourtidou, Nicoletta ; Anaxagorou, Christiana. In: Cyprus Economic Policy Review. RePEc:erc:cypepr:v:16:y:2022:i:1:p:11-36.

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2022The north-south divide, the euro and the world. (2022). Panagiotidis, Theodore ; Mouratidis, Kostas ; Chisiridis, Konstantinos. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:121:y:2022:i:c:s0261560621001674.

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2022Network connectedness dynamics of the yield curve of G7 countries. (2022). Aharon, David Y ; Riaz, Yasir ; Umar, Zaghum. In: International Review of Economics & Finance. RePEc:eee:reveco:v:79:y:2022:i:c:p:275-288.

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2022Estimation and inference in heterogeneous spatial panels with a multifactor error structure. (2022). Zheng, Chaowen ; Shin, Yongcheol ; Chen, Jia. In: Journal of Econometrics. RePEc:eee:econom:v:229:y:2022:i:1:p:55-79.

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2022From systematic to systemic risk among G7 members: Do the stock or real estate markets matter?. (2022). Chen, Chien-Fu ; Chiang, Shu-Hen. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:79:y:2022:i:c:s1042443122000762.

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2022Independent policy, dependent outcomes: A game of cross-country dominoes across European yield curves. (2022). Chatziantoniou, Ioannis ; Gabauer, David ; Stenfors, Alexis. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:81:y:2022:i:c:s1042443122001305.

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2022What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from The Lasso Regularization and Inferential Techniques. (2022). Asongu, Simplice A ; Obeng, Camara K ; Ofori, Isaac K. In: Working Papers. RePEc:exs:wpaper:22/061.

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2022What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from The Lasso Regularization and Inferential Techniques. (2022). Asongu, Simplice A ; Obeng, Camara K ; Ofori, Isaac K. In: Working Papers of the African Governance and Development Institute.. RePEc:agd:wpaper:22/061.

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2022Benchmarking Econometric and Machine Learning Methodologies in Nowcasting. (2022). Hopp, Daniel. In: Papers. RePEc:arx:papers:2205.03318.

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2022A Nowcasting Model of Exports Using Maritime Big Data. (2022). Hisano, Ryohei ; Furukawa, Kakuho. In: Bank of Japan Working Paper Series. RePEc:boj:bojwps:wp22e19.

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2022Joint modelling wind speed and power via Bayesian Dynamical models. (2022). Cyrino, Fernando Luiz. In: Energy. RePEc:eee:energy:v:247:y:2022:i:c:s0360544222003346.

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2022Wind speed forecasting using multi-site collaborative deep learning for complex terrain application in valleys. (2022). Shen, Bilong ; Zhang, Juan ; You, Jiaxing ; Li, GE ; Wu, Shun ; Qiao, Dalei. In: Renewable Energy. RePEc:eee:renene:v:189:y:2022:i:c:p:231-244.

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2022General Bayesian time-varying parameter VARs for predicting government bond yields. (2021). Huber, Florian ; Hauzenberger, Niko ; Fischer, Manfred ; Pfarrhofer, Michael. In: Working Papers in Regional Science. RePEc:wiw:wus046:8006.

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2022Inflation-Forecast Targeting: A New Framework for Monetary Policy?. (2022). Pinshi, Christian P. In: MPRA Paper. RePEc:pra:mprapa:111709.

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2022Financial Stability Considerations for Monetary Policy: Empirical Evidence and Challenges. (2022). Schularick, Moritz ; Favara, Giovanni ; Boyarchenko, Nina. In: Finance and Economics Discussion Series. RePEc:fip:fedgfe:2022-06.

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2022Financial Stability Considerations for Monetary Policy: Empirical Evidence and Challenges. (2022). Schularick, Moritz ; Favara, Giovanni ; Boyarchenko, Nina. In: Staff Reports. RePEc:fip:fednsr:93712.

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2022Ciblage des prévisions dinflation : Un nouveau cadre pour la politique monétaire ?. (2022). Pinshi, Christian. In: Working Papers. RePEc:hal:wpaper:hal-03548273.

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2022Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP. (2022). Zhu, Dan ; Rossini, Luca ; Poon, Aubrey ; Iacopini, Matteo. In: Papers. RePEc:arx:papers:2209.01910.

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2022Modeling global real economic activity: Evidence from variable selection across quantiles. (2022). Stolbov, Mikhail ; Shchepeleva, Maria. In: The Journal of Economic Asymmetries. RePEc:eee:joecas:v:25:y:2022:i:c:s1703494921000438.

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2022Uncertainty, Skewness, and the Business Cycle through the MIDAS Lens. (2022). Mori, Lorenzo ; Castelnuovo, Efrem. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10062.

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2022Uncertainty, Skewness, and the Business Cycle Through the MIDAS Lens. (2022). Castelnuovo, Efrem ; Mori, Lorenzo. In: Marco Fanno Working Papers. RePEc:pad:wpaper:0291.

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2022Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications. (2022). Rossini, Luca ; Ravazzolo, Francesco ; Iacopini, Matteo. In: Papers. RePEc:arx:papers:2211.16121.

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2022Modeling tail risks of inflation using unobserved component quantile regressions. (2022). Pfarrhofer, Michael. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:143:y:2022:i:c:s016518892200197x.

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2022Gaussian Process Vector Autoregressions and Macroeconomic Uncertainty. (2021). Marcellino, Massimiliano ; Petz, Nico ; Huber, Florian ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2112.01995.

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2022APPROXIMATE BAYESIAN INFERENCE AND FORECASTING IN HUGE?DIMENSIONAL MULTICOUNTRY VARs. (2022). Pfarrhofer, Michael ; Koop, Gary ; Huber, Florian ; Feldkircher, Martin. In: International Economic Review. RePEc:wly:iecrev:v:63:y:2022:i:4:p:1625-1658.

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2022Propagation of measurement error in opinion dynamics models: The case of the Deffuant model. (2022). Quayle, Michael ; Carpentras, Dino. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:606:y:2022:i:c:s0378437122006239.

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2022Consumer Spending in the Covid-19 Pandemic: Evidence from Card Transactions in Latvia. (2022). Fadejeva, Ludmila ; Brinke, Anete ; Vilerts, Karlis ; Siliverstovs, Boriss. In: Discussion Papers. RePEc:ltv:dpaper:202201.

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2022National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption. (2022). Hansen, Stephen ; Mora, J. V. R., ; Carvalho, V M ; Buda, G ; Rodrigo, T. In: Cambridge Working Papers in Economics. RePEc:cam:camdae:2244.

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2022.

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2022What is the Predictive Value of SPF Point and Density Forecasts?. (2022). Mertens, Elmar ; Ganics, Gergely ; Clark, Todd. In: Working Papers. RePEc:fip:fedcwq:95196.

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2022Volatility of clean energy and natural gas, uncertainty indices, and global economic conditions. (2022). Zhong, Juandan ; Bouri, Elie ; Ma, Feng ; Wang, Jiqian. In: Energy Economics. RePEc:eee:eneeco:v:108:y:2022:i:c:s0140988322000846.

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2022Extreme price co-movement of commodity futures and industrial production growth: An empirical evaluation. (2022). Pantelous, Athanasios A ; Xie, Yuxin ; Wen, Xiaoqian. In: Energy Economics. RePEc:eee:eneeco:v:108:y:2022:i:c:s0140988322000950.

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2022Oil price volatility predictability based on global economic conditions. (2022). Lai, Xiaodong ; Guo, Yangli ; Ma, Feng ; Li, Haibo. In: International Review of Financial Analysis. RePEc:eee:finana:v:82:y:2022:i:c:s1057521922001569.

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2022House prices, collateral effects and sectoral output dynamics in emerging market economies. (2022). Gumus, Inci ; Bahadir, Berrak. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:129:y:2022:i:c:s0261560622001279.

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2022The effect of COVID certificates on vaccine uptake, health outcomes, and the economy. (2022). , Bary ; Oliu-Barton, Miquel ; Wolff, Guntram B ; Martin, Philippe ; Fontanet, Arnaud ; Artus, Patrick ; Aghion, Philippe ; Guetta-Jeanrenaud, Lionel ; Woloszko, Nicolas. In: Nature Communications. RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31394-1.

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2022The Effect of COVID Certificates on Vaccine Uptake, Health Outcomes, and the Economy. (2022). , Philippemartin ; Martin, Philippe ; Fontanet, Arnaud ; Artus, Patrick ; Aghion, Philippe ; Guetta-Jeanrenaud, Lionel ; Woloszko, Nicolas ; Oliu-Barton, Miquel ; Wolff, Guntram B. In: Post-Print. RePEc:hal:journl:hal-03813557.

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2022The Effect of COVID Certificates on Vaccine Uptake, Health Outcomes, and the Economy. (2022). , Philippemartin ; Martin, Philippe ; Fontanet, Arnaud ; Artus, Patrick ; Aghion, Philippe ; Guetta-Jeanrenaud, Lionel ; Woloszko, Nicolas ; Oliu-Barton, Miquel ; Wolff, Guntram B. In: PSE-Ecole d'économie de Paris (Postprint). RePEc:hal:pseptp:hal-03813557.

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2022Macroeconometric forecasting using a cluster of dynamic factor models. (2022). Glocker, Christian ; Kaniovski, Serguei. In: Empirical Economics. RePEc:spr:empeco:v:63:y:2022:i:1:d:10.1007_s00181-021-02129-w.

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2022Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization. (2022). Funovits, Bernd ; Koistinen, Juho. In: Papers. RePEc:arx:papers:2202.00310.

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2022Dynamic factor models: Does the specification matter?. (2022). Miranda, Karen ; Ruiz, Esther ; Poncela, Pilar. In: SERIEs: Journal of the Spanish Economic Association. RePEc:spr:series:v:13:y:2022:i:1:d:10.1007_s13209-021-00248-2.

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2022.

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2022Point and interval forecasting system for crude oil price based on complete ensemble extreme-point symmetric mode decomposition with adaptive noise and intelligent optimization algorithm. (2022). Li, Shaoting ; Wang, Xuerui. In: Applied Energy. RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014519.

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2022What type of information calls the attention of forecasters? Evidence from survey data in an emerging market. (2022). de Azevedo, Mateus ; Vereda, Luciano ; de Mendona, Helder Ferreira. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:129:y:2022:i:c:s0261560622001255.

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2022Explainable models of credit losses. (2022). Bastos, João ; Matos, Sara M. In: European Journal of Operational Research. RePEc:eee:ejores:v:301:y:2022:i:1:p:386-394.

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2022The lending risk predicting of the folk informal financial organization from big data using the deep learning hybrid model. (2022). Zhang, Wei ; Xu, Ying ; Wanyan, Hong ; Li, Chongyang ; Shi, Tao. In: Finance Research Letters. RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004172.

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2022Information Frictions Across Various Types of Inflation Expectations. (2022). Paul, Hubert ; Camille, Cornand. In: Working papers. RePEc:bfr:banfra:873.

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2022Information frictions across various types of inflation expectations. (2022). Hubert, Paul ; Cornand, Camille. In: European Economic Review. RePEc:eee:eecrev:v:146:y:2022:i:c:s001429212200099x.

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2022Information frictions across various types of inflation expectations. (2022). Hubert, Paul ; Cornand, Camille. In: Post-Print. RePEc:hal:journl:hal-03468918.

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2022A fast and scalable ensemble of global models with long memory and data partitioning for the M5 forecasting competition. (2022). Godahewa, Rakshitha ; Hewamalage, Hansika ; Bandara, Kasun ; Gamakumara, Puwasala. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1400-1404.

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2022Co-jumps in the U.S. interest rates and precious metals markets and their implications for investors. (2022). Downing, Gareth ; Semeyutin, Artur. In: International Review of Financial Analysis. RePEc:eee:finana:v:81:y:2022:i:c:s1057521922000503.

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2022New drugs and stock market: how to predict pharma market reaction to clinical trial announcements. (2022). Zhukov, Leonid ; Kovtun, Elizaveta ; Kazakov, Alexey ; Budennyy, Semen. In: Papers. RePEc:arx:papers:2208.07248.

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2022Short-Term Load Forecasting Based on the CEEMDAN-Sample Entropy-BPNN-Transformer. (2022). He, YU ; Zhang, Jing ; Huang, Shichao ; Wen, Yongjun ; Yao, Gang ; Fan, Luqin ; Fu, Xiaofan. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:10:p:3659-:d:817187.

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2022Portfolio Transformer for Attention-Based Asset Allocation. (2022). Gorse, Denise ; Kisiel, Damian. In: Papers. RePEc:arx:papers:2206.03246.

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2022Interpretable wind speed prediction with multivariate time series and temporal fusion transformers. (2022). Zeng, Yu-Rong ; Wang, Lin ; Wu, Binrong. In: Energy. RePEc:eee:energy:v:252:y:2022:i:c:s0360544222008933.

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2022.

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2022Application of Temporal Fusion Transformer for Day-Ahead PV Power Forecasting. (2022). Camarero, Fernando Echevarria ; Garcia-Santiago, Xela ; Santos, Miguel Lopez ; Ortega, Pablo Carrasco ; Gil, Gonzalo Blazquez. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:14:p:5232-:d:866410.

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2022Framework based on multiplicative error and residual analysis to forecast bitcoin intraday-volatility. (2022). Kristjanpoller, Werner ; Tapia, Sebastian. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008724.

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2022Multi-player dynamic game model for Bitcoin transaction bidding prediction. (2022). Lu, Binwei ; Li, Shikui ; Wang, Shan ; Yan, Guanghui. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:60:y:2022:i:c:s1062940821002230.

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2022LSTM forecasting foreign exchange rates using limit order book. (2022). Kitamura, Yoshihiro ; Iima, Hitoshi ; Ito, Katsuki. In: Finance Research Letters. RePEc:eee:finlet:v:47:y:2022:i:pa:s1544612321004827.

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2022Shannon entropy: an econophysical approach to cryptocurrency portfolios. (2022). Miramontes, Octavio ; Rodriguez-Rodriguez, Noe. In: Papers. RePEc:arx:papers:2210.02633.

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2022Cross-correlation and forecast impact of public attention on USD/CNY exchange rate: Evidence from Baidu Index. (2022). Jia, Guozhu ; Gong, Xingyue ; Wang, Renyu ; Lin, Yong. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:604:y:2022:i:c:s0378437122004575.

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2022High Frequency Return and Risk Patterns in U.S. Sector ETFs during COVID-19. (2022). Alshareif, Elgilani E ; Kamalov, Firuz ; Gurrib, Ikhlaas. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2022-05-50.

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2022A note on the Bitcoin and Fed Funds rate. (2022). Aboura, Sofiane. In: Empirical Economics. RePEc:spr:empeco:v:63:y:2022:i:5:d:10.1007_s00181-022-02207-7.

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2022Robust drivers of Bitcoin price movements: An extreme bounds analysis. (2022). , Walid. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:62:y:2022:i:c:s106294082200078x.

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2022Expectations, Economic Uncertainty, and Sentiment. (2022). de Medeiros, Douglas. In: RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration). RePEc:abg:anprac:v:26:y:2022:i:5:1524.

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2022Utilización de noticias de prensa como indicador de confianza económica en tiempo real. (2022). Cova, Juan Pablo ; Peralta, Hugo ; del Pilar, Maria. In: Working Papers Central Bank of Chile. RePEc:chb:bcchwp:938.

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2022Using newspapers for textual indicators: which and how many?. (2022). Pérez, Javier ; Molina Sánchez, Luis ; Ghirelli, Corinna ; Andres-Escayola, Erik ; Vidal, Elena ; Perez, Javier J. In: Working Papers. RePEc:bde:wpaper:2235.

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2022Forecasting automobile gasoline demand in Australia using machine learning-based regression. (2022). Hensher, David A ; Zhou, BO ; Li, Zheng. In: Energy. RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025603.

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2022.

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2022Detecting fake reviews through topic modelling. (2022). Kazancoglu, Yigit ; Kumar, Satish ; Kahraman, Aysun ; Mangla, Sachin Kumar ; Birim, Ule Ozturk. In: Journal of Business Research. RePEc:eee:jbrese:v:149:y:2022:i:c:p:884-900.

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2022Spatio-temporal variation of Covid-19 health outcomes in India using deep learning based models. (2022). Roy, Sarbani ; Middya, Asif Iqbal. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:183:y:2022:i:c:s0040162522004334.

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2022Machine Learning Algorithms for Time Series Analysis and Forecasting. (2022). , Ramya ; Salanke, Girish Rao ; Barpanda, Shriya ; Garg, Rameshwar. In: Papers. RePEc:arx:papers:2211.14387.

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2022Stability of profits and earnings management in the transport sector of Visegrad countries. (2022). Novak, Andrej ; Bugaj, Martin ; Sedlackova, Alena Novak ; Kliestik, Tomas. In: Oeconomia Copernicana. RePEc:pes:ieroec:v:13:y:2022:i:2:p:475-509.

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2022Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Koreas energy transition policy. (2022). Hwangbo, Soonho ; Ha, Byeongmin ; Lee, Yoon Jae. In: Renewable Energy. RePEc:eee:renene:v:200:y:2022:i:c:p:69-87.

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2022W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. (2022). Hadid, Abdenour ; Chakraborty, Tanujit ; Sasal, Lena. In: Papers. RePEc:arx:papers:2209.03945.

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2022.

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2022‘Modelling’ UK tourism demand using fashion retail sales. (2022). Hassani, Hossein ; Silva, Emmanuel Sirimal. In: Annals of Tourism Research. RePEc:eee:anture:v:95:y:2022:i:c:s0160738322000792.

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2022Hotel dynamic pricing, stochastic demand and covid-19. (2022). D'Innocenzo, Enzo ; Ballestra, Luca Vincenzo ; Guizzardi, Andrea. In: Annals of Tourism Research. RePEc:eee:anture:v:97:y:2022:i:c:s0160738322001463.

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2022Semi-nonparametric risk assessment with cryptocurrencies. (2022). Perote, Javier ; Mora-Valencia, Andrés ; Jimenez, Ines. In: Research in International Business and Finance. RePEc:eee:riibaf:v:59:y:2022:i:c:s0275531921001884.

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2022Jointly forecasting the value-at-risk and expected shortfall of Bitcoin with a regime-switching CAViaR model. (2022). Guo, Ranran ; Ye, Wuyi ; Gao, Lingbo. In: Finance Research Letters. RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322001258.

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2022Dynamic impact of negative public sentiment on agricultural product prices during COVID-19. (2022). Wang, Fang ; Tang, Hong ; Ye, Deping ; Liu, Sha. In: Journal of Retailing and Consumer Services. RePEc:eee:joreco:v:64:y:2022:i:c:s0969698921003568.

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2022The role of textual analysis in oil futures price forecasting based on machine learning approach. (2022). Chen, Qiyang ; Guan, Keqin ; Gong, XU. In: Journal of Futures Markets. RePEc:wly:jfutmk:v:42:y:2022:i:10:p:1987-2017.

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2022The performance of the global bottom-up approach in the M5 accuracy competition: A robustness check. (2022). Fildes, Robert ; Ma, Shaohui. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1492-1499.

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2022Time?Varying Dynamics of the German Business Cycle: A Comprehensive Investigation. (2022). Reif, Magnus. In: Oxford Bulletin of Economics and Statistics. RePEc:bla:obuest:v:84:y:2022:i:1:p:80-102.

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2022A neural network ensemble approach for GDP forecasting. (2022). Rungi, Armando ; Riccaboni, Massimo ; Longo, Luigi. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:134:y:2022:i:c:s016518892100213x.

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2022Seasonal prediction of renewable energy generation in Europe based on four teleconnection indices. (2022). Doblas-Reyes, Francisco-Javier ; Soret, Albert ; Ramon, Jaume ; Lledo, Lloren. In: Renewable Energy. RePEc:eee:renene:v:186:y:2022:i:c:p:420-430.

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2022A Unified Framework to Estimate Macroeconomic Stars. (2021). Zaman, Saeed. In: Working Papers. RePEc:fip:fedcwq:93166.

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2022Inflation expectations: Australian consumer survey data versus the bond market. (2022). Wegener, Christoph ; Basse, Tobias. In: Journal of Economic Behavior & Organization. RePEc:eee:jeborg:v:203:y:2022:i:c:p:416-430.

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2022Comparing Stochastic Volatility Specifications for Large Bayesian VARs. (2022). , Joshua. In: Papers. RePEc:arx:papers:2208.13255.

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2022Forecasting risk measures using intraday and overnight information. (2022). Candido, Osvaldo ; Tofoli, Paula V ; Santos, Douglas G. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:60:y:2022:i:c:s1062940822000250.

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2022A multivariate semi-parametric portfolio risk optimization and forecasting framework. (2022). Storti, Giuseppe ; Wang, Chao. In: MPRA Paper. RePEc:pra:mprapa:115266.

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2022Energy commodities: A study on model selection for estimating Value-at-Risk. (2022). Pinho, Carlos ; Amaro, Raphael. In: Applied Econometrics. RePEc:ris:apltrx:0456.

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2022Multi-space collaboration framework based optimal model selection for power load forecasting. (2022). Che, Jinxing ; Xian, Huafeng. In: Applied Energy. RePEc:eee:appene:v:314:y:2022:i:c:s0306261922003567.

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2022Analysis of Factors Affecting Product Sales with an Outlook toward Sale Forecasting in Cosmetic Industry using Statistical Methods. (2022). Noorossana, Rassoul ; Seifi, Farima ; Pazhuheian, Farhad ; Khajehzadeh, Mohammad ; Saeedi, Niloufar ; Asli, Ali. In: International Review of Management and Marketing. RePEc:eco:journ3:2022-06-6.

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2022An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting. (2022). Wang, Shouyang ; Han, Jing ; Sun, Shaolong ; Guo, Ju-e, ; Yang, Dongchuan. In: Applied Energy. RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921012952.

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2022High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks. (2022). Berrisch, Jonathan ; Ziel, Florian ; Narajewski, Michal. In: Papers. RePEc:arx:papers:2203.03342.

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2022An adaptive ensemble framework with representative subset based weight correction for short-term forecast of peak power load. (2022). Yang, Youlong ; Zhu, Suling ; Yuan, Fang ; Che, Jinxing. In: Applied Energy. RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014131.

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2022Can dimensional reduction technology make better use of the information of uncertainty indices when predicting volatility of Chinese crude oil futures?. (2022). Chen, Zhonglu ; Li, Xiafei ; Bai, Jiancheng ; Yan, Xiang. In: Resources Policy. RePEc:eee:jrpoli:v:75:y:2022:i:c:s0301420721005286.

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2022Forecasting natural gas consumption using Bagging and modified regularization techniques. (2022). de Menezes, Lilian M ; Cyrino, Fernando Luiz ; Meira, Erick. In: Energy Economics. RePEc:eee:eneeco:v:106:y:2022:i:c:s0140988321006034.

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2022Impact of the COVID-19 Pandemic Crisis on the Efficiency of European Intraday Electricity Markets. (2022). Momm, Florian ; Gottwald, Daria ; Buescher, Jan Niklas ; Zureck, Alexander. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:10:p:3494-:d:812510.

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2022SARIMA Modelling Approach for Forecasting of Traffic Accidents. (2022). al Awadh, Mohammed ; Stanimirovi, Dragan ; Dereti, Nemanja ; Djuki, Aleksandar ; Vujanovi, Nikola. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:8:p:4403-:d:788927.

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20222-D Rayleigh autoregressive moving average model for SAR image modeling. (2022). Cintra, Renato J ; Bayer, Fabio M ; Palm, Bruna G. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:171:y:2022:i:c:s0167947322000330.

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2022Economic activity and climate change. (2022). Ruiz, Esther ; Rodr, Vladimir ; Poncela, Pilar ; de Juan, Ar'Anzazu. In: Papers. RePEc:arx:papers:2206.03187.

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2022Variational Bayes in State Space Models: Inferential and Predictive Accuracy. (2022). Loaiza-Maya, Ruben ; Martin, Gael M ; Frazier, David T. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2022-1.

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2022Variational Bayes in State Space Models: Inferential and Predictive Accuracy. (2022). Loaiza Maya, Rubén ; Martin, Gael M ; Loaiza-Maya, Ruben ; Frazier, David T. In: Papers. RePEc:arx:papers:2106.12262.

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2022Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference. (2022). Seleznev, Sergei ; Khabibullin, Ramis. In: Papers. RePEc:arx:papers:2210.07154.

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2022Smoothing volatility targeting. (2022). Bianco, Nicolas ; Bianchi, Daniele ; Bernardi, Mauro. In: Papers. RePEc:arx:papers:2212.07288.

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2022Agree to disagree? Predictions of U.S. nonfarm payroll changes between 2008 and 2020 and the impact of the COVID19 labor shock. (2022). Klein, Tony. In: Journal of Economic Behavior & Organization. RePEc:eee:jeborg:v:194:y:2022:i:c:p:264-286.

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2022Individual Trend Inflation. (2022). Yoneyama, Shunichi ; Packer, Frank ; Sekine, Toshitaka. In: IMES Discussion Paper Series. RePEc:ime:imedps:22-e-14.

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2022Individual Trend Inflation. (2022). Yoneyama, Shunichi ; Packer, Frank ; Sekine, Toshitaka. In: Working Papers on Central Bank Communication. RePEc:upd:utmpwp:042.

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2022Forecasting agricultural commodity price using different models: a case study of widely consumed grains in Nigeria. (2022). Tabash, Mosab I ; Adeeko, Omotara ; Safi, Samir K ; Sanusi, Olajide I. In: Agricultural and Resource Economics: International Scientific E-Journal. RePEc:ags:areint:322724.

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2022Should we care about ECB inflation expectations?. (2022). Candelon, Bertrand ; Roccazzella, Francesco. In: LIDAM Discussion Papers LFIN. RePEc:ajf:louvlf:2022004.

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2022Dynamic Stochastic Inventory Management in E-Grocery Retailing: The Value of Probabilistic Information. (2022). Jahnke, Hermann ; Langrock, Roland ; Romer, Michael ; Ulrich, Matthias ; Winkelmann, David. In: Papers. RePEc:arx:papers:2205.06572.

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2022Gambling on Momentum. (2022). de Angelis, Luca ; Singleton, Carl ; Deutscher, Christian ; Otting, Marius. In: Papers. RePEc:arx:papers:2211.06052.

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2022Bayesian Multivariate Quantile Regression with alternative Time-varying Volatility Specifications. (2022). Rossini, Luca ; Ravazzolo, Francesco ; Iacopini, Matteo. In: Papers. RePEc:arx:papers:2211.16121.

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2022Home advantage in professional soccer and betting market efficiency: The role of spectator crowds. (2022). Haucap, Justus ; Fischer, Kai. In: Kyklos. RePEc:bla:kyklos:v:75:y:2022:i:2:p:294-316.

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2022Lending ears to unheard voices: An empirical analysis of user?generated content on social media. (2022). Kumar, Subodha ; Aggarwal, Shikha ; Gour, Alekh. In: Production and Operations Management. RePEc:bla:popmgt:v:31:y:2022:i:6:p:2457-2476.

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2022Privacy-preserving federated learning for residential short-term load forecasting. (2022). Rieger, Alexander ; Lee, Chul Min ; Menci, Sergio Potenciano ; Fernandez, Joaquin Delgado ; Fridgen, Gilbert. In: Applied Energy. RePEc:eee:appene:v:326:y:2022:i:c:s0306261922011722.

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2022Economic recovery forecasts under impacts of COVID-19. (2022). Shi, Chaojun ; Hu, Wentao ; Wang, Wei ; Sun, Yunchuan ; Teng, Bin. In: Economic Modelling. RePEc:eee:ecmode:v:110:y:2022:i:c:s0264999322000670.

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2022Unemployment claims during COVID-19 and economic support measures in the U.S.. (2022). Panagiotidis, Theodore ; Milas, Costas ; Dergiades, Theologos. In: Economic Modelling. RePEc:eee:ecmode:v:113:y:2022:i:c:s0264999322001377.

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2022Financial conditions and macroeconomic downside risks in the euro area. (2022). Lhuissier, Stephane. In: European Economic Review. RePEc:eee:eecrev:v:143:y:2022:i:c:s0014292122000101.

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2022A simple model for mixing intuition and analysis. (2022). Katsikopoulos, Konstantinos V ; Garcia, Luis Fuentes ; Egozcue, Martin. In: European Journal of Operational Research. RePEc:eee:ejores:v:303:y:2022:i:2:p:779-789.

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2022Timing intermittent demand with time-varying order-up-to levels. (2022). Rogetzer, Patricia ; Prak, Dennis. In: European Journal of Operational Research. RePEc:eee:ejores:v:303:y:2022:i:3:p:1126-1136.

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2022Evaluating human behaviour in response to AI recommendations for judgemental forecasting. (2022). Imdahl, Christina ; Hoberg, Kai ; Khosrowabadi, Naghmeh. In: European Journal of Operational Research. RePEc:eee:ejores:v:303:y:2022:i:3:p:1151-1167.

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2022Dynamic short-term risk management strategies for the choice of electricity market based on probabilistic forecasts of profit and risk measures. The German and the Polish market case study. (2022). Wojcik, Edyta ; Janczura, Joanna. In: Energy Economics. RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322001840.

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2022Investor sentiment and stock volatility: New evidence. (2022). Wang, Chao ; Zhang, Wei Guo ; Gong, Xue. In: International Review of Financial Analysis. RePEc:eee:finana:v:80:y:2022:i:c:s1057521922000084.

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2022Asymmetric causality of economic policy uncertainty and oil volatility index on time-varying nexus of the clean energy, carbon and green bond. (2022). Ren, Xiaohang ; Li, Jingyao ; Wang, Xiong. In: International Review of Financial Analysis. RePEc:eee:finana:v:83:y:2022:i:c:s1057521922002605.

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2022Multi-population modelling and forecasting life-table death counts. (2022). Xu, Ruofan ; Haberman, Steven ; Shang, Han Lin. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:106:y:2022:i:c:p:239-253.

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2022A novel text-based framework for forecasting agricultural futures using massive online news headlines. (2022). Li, Guowen ; Wenli, Guo ; Wei, LU ; Zhu, Xiaoqian ; Liu, Mingxi. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:1:p:35-50.

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2022On single point forecasts for fat-tailed variables. (2022). Cirillo, Pasquale ; Bar-Yam, Yaneer ; Taleb, Nassim Nicholas. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:2:p:413-422.

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2022Short-term Covid-19 forecast for latecomers. (2022). Zilberman, Eduardo ; Vasconcelos, Gabriel ; Vallado, Davi ; Street, Alexandre ; Medeiros, Marcelo C. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:2:p:467-488.

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2022Forecasting for social good. (2022). Hyndman, Rob ; Syntetos, Aris ; Porter, Michael D ; Hong, Tao ; Ali, Mohammad M ; Rostami-Tabar, Bahman. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:3:p:1245-1257.

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2022Forecasting: theory and practice. (2022). Shang, Han Lin ; Rubaszek, Michał ; Martinez, Andrew ; Grossi, Luigi ; Franses, Philip Hans ; Fiszeder, Piotr ; Clements, Michael ; Castle, Jennifer ; Carnevale, Claudio ; Kolassa, Stephan ; Thorarinsdottir, Thordis ; Guo, Xiaojia ; Reade, James J ; Petropoulos, Fotios ; Nikolopoulos, Konstantinos ; Koehler, Anne B ; Thomakos, Dimitrios ; Browell, Jethro ; Rapach, David E ; Modis, Theodore ; Kang, Yanfei ; Tashman, Len ; Boylan, John E ; Gunter, Ulrich ; Ramos, Patricia ; Ellison, Joanne ; Meeran, Sheik ; Richmond, Victor ; Talagala, Thiyanga S ; Bijak, Jakub ; Guidolin, Massimo ; Pinson, Pierre ; Dokumentov, Alexander ; Jeon, Jooyoung ; Bessa, Ricardo J ; Pedregal, Diego J ; de Baets, Shari ; Ziel, Florian ; Syntetos, Aris A ; Bergmeir, Christoph
2022Post-script—Retail forecasting: Research and practice. (2022). Ma, Shaohui ; Kolassa, Stephan ; Fildes, Robert. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1319-1324.

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2022M5 accuracy competition: Results, findings, and conclusions. (2022). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1346-1364.

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2022The M5 uncertainty competition: Results, findings and conclusions. (2022). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros ; Winkler, Robert L ; Tsetlin, Ilia ; Gaba, Anil ; Chen, Zhi. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1365-1385.

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2022Robust recurrent network model for intermittent time-series forecasting. (2022). Seong, Sihyeon ; Jeon, Yunho. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1415-1425.

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2022Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series. (2022). Vogklis, Konstantinos ; Nasios, Ioannis. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1448-1459.

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2022The performance of the global bottom-up approach in the M5 accuracy competition: A robustness check. (2022). Fildes, Robert ; Ma, Shaohui. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1492-1499.

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2022Exploring the representativeness of the M5 competition data. (2022). Kang, Yanfei ; Wang, Shengjie ; Theodorou, Evangelos ; Assimakopoulos, Vassilios ; Makridakis, Spyros ; Spiliotis, Evangelos. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1500-1506.

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2022Fathoming empirical forecasting competitions’ winners. (2022). Nikolopoulos, Konstantinos ; Karamatzanis, Georgios ; Alroomi, Azzam ; Xiao, Shujun ; Tilba, Anna. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1519-1525.

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2022The uncertainty track: Machine learning, statistical modeling, synthesis. (2022). Ord, Keith. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1526-1530.

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2022Commentary on the M5 forecasting competition. (2022). Kolassa, Stephan. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:4:p:1562-1568.

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2022Common factors and the dynamics of cereal prices. A forecasting perspective. (2022). Rubaszek, Michał ; Paccagnini, Alessia ; Kwas, Marek. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:28:y:2022:i:c:s2405851321000738.

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2022Predicting the changes in the WTI crude oil price dynamics using machine learning models. (2022). Mustafayev, Eldayag ; Guliyev, Hasraddin. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s030142072200112x.

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2022A new secondary decomposition-reconstruction-ensemble approach for crude oil price forecasting. (2022). Sun, Jingyun ; Zhao, Panpan. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722002100.

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2022A decomposition ensemble based deep learning approach for crude oil price forecasting. (2022). Dong, Yao ; Xiao, Ling ; Hu, Weiqiang ; Jiang, HE. In: Resources Policy. RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003014.

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2022A dynamic ensemble learning with multi-objective optimization for oil prices prediction. (2022). Li, Jianping ; Sun, Xiaolei ; Yuan, Jiaxin ; Feng, Qianqian ; Hao, Jun. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004007.

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2022Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view. (2022). Foropon, Cyril ; Graham, Gary ; Dwivedi, Yogesh K ; Bryde, David J ; Dubey, Rameshwar. In: International Journal of Production Economics. RePEc:eee:proeco:v:250:y:2022:i:c:s0925527322002018.

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2022Forecasting methods for wind power scenarios of multiple wind farms based on spatio-temporal dependency structure. (2022). Zhang, YU ; Peng, Xinghao ; Li, Yanting. In: Renewable Energy. RePEc:eee:renene:v:201:y:2022:i:p1:p:950-960.

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2022Do EEMD based decomposition-ensemble models indeed improve prediction for crude oil futures prices?. (2022). Niu, Hongli ; Xu, Kunliang. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522004887.

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2022Economics lessons from sports during the COVID-19 pandemic. (2022). Schreyer, Dominik ; Reade, James ; Dolton, Peter ; Bryson, Alex ; Singleton, Carl. In: Chapters. RePEc:elg:eechap:21289_2.

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2022Financial Speculation Impact on Agricultural and Other Commodity Return Volatility: Implications for Sustainable Development and Food Security. (2022). Staugaitis, Algirdas Justinas ; Vaznonis, Bernardas. In: Agriculture. RePEc:gam:jagris:v:12:y:2022:i:11:p:1892-:d:969147.

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2022Short-Term Speculation Effects on Agricultural Commodity Returns and Volatility in the European Market Prior to and during the Pandemic. (2022). Vaznonis, Bernardas ; Staugaitis, Algirdas Justinas. In: Agriculture. RePEc:gam:jagris:v:12:y:2022:i:5:p:623-:d:803771.

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2022Corporate Dividend Policies during the COVID-19 Pandemic. (2022). Ali, Nasir ; Ur, Muhammad Zia ; Ashraf, Badar Nadeem ; Shear, Falik. In: Economies. RePEc:gam:jecomi:v:10:y:2022:i:11:p:263-:d:951501.

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2022Sustainable Biofuel Production from Animal Manure and Crop Residues in Ghana. (2022). Wang, Hongyan ; Seglah, Patience Afi ; Bi, Yuyun ; Gao, Chunyu. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:16:p:5800-:d:885113.

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2022Can China Meet Its 2030 Total Energy Consumption Target? Based on an RF-SSA-SVR-KDE Model. (2022). Wang, Dongyu ; Guan, Xinyu ; Cui, Xiwen ; Xu, Xiaomin ; Niu, Dongxiao. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:16:p:6019-:d:892677.

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2022Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns. (2022). Guidolin, Massimo ; Pedio, Manuela. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:1:p:16-306:d:752601.

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2022Forecasting Bitcoin Spikes: A GARCH-SVM Approach. (2022). Athanasiou, Athanasios Fotios ; Gogas, Periklis ; Papadimitriou, Theophilos. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:4:p:41-766:d:922336.

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2021General Bayesian time-varying parameter VARs for predicting government bond yields. (2021). Pfarrhofer, Michael ; Huber, Florian ; Hauzenberger, Niko ; Fischer, Manfred M. In: Papers. RePEc:arx:papers:2102.13393.

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2021Tail forecasts of inflation using time-varying parameter quantile regressions. (2021). Pfarrhofer, Michael. In: Papers. RePEc:arx:papers:2103.03632.

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2021Interpretability in deep learning for finance: a case study for the Heston model. (2021). Brigo, Damiano ; de Ocariz, Haitz Saez ; Pallavicini, Andrea ; Huang, Xiaoshan. In: Papers. RePEc:arx:papers:2104.09476.

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2021Next-Day Bitcoin Price Forecast Based on Artificial intelligence Methods. (2021). Yang, Liping. In: Papers. RePEc:arx:papers:2106.12961.

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2021Multiplicative Error Models: 20 years on. (2021). Gallo, Giampiero M ; Cipollini, Fabrizio. In: Papers. RePEc:arx:papers:2107.05923.

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2021Understanding the nature of the long-range memory phenomenon in socioeconomic systems. (2021). Gontis, Vygintas ; Kaulakys, Bronislovas ; Kononovicius, Aleksejus ; Kazakevicius, Rytis. In: Papers. RePEc:arx:papers:2108.02506.

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2021Look Whos Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default. (2021). Liberati, Caterina ; Repetto, Marco ; Crosato, Lisa. In: Papers. RePEc:arx:papers:2108.13914.

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2021A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting. (2021). La Torre, Davide ; Swain, Akshya ; Broekaert, Jan ; Hafiz, Faizal . In: Papers. RePEc:arx:papers:2111.08060.

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2021Optimal Portfolio Choice and Stock Centrality for Tail Risk Events. (2021). Katsouris, Christis. In: Papers. RePEc:arx:papers:2112.12031.

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2021Evolving Temperature Dynamics in Canada: Preliminary Evidence Based on 60 Years of Data. (2021). Amano, Robert ; McDonald-Guimond, Julien ; Gosselin, Marc-Andre. In: Staff Working Papers. RePEc:bca:bocawp:21-22.

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2021Do inflation expectations improve model-based inflation Forecasts?. (2021). Menz, Jan-Oliver ; Leiva-Leon, Danilo ; Babura, Marta. In: Working Papers. RePEc:bde:wpaper:2138.

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2021Forecasting Italian GDP growth with epidemiological data. (2021). Villa, Stefania ; Flaccadoro, Marco ; Conteduca, Francesco ; Emiliozzi, Simone ; Borin, Alessandro ; Aprigliano, Valentina ; Marchetti, Sabina. In: Questioni di Economia e Finanza (Occasional Papers). RePEc:bdi:opques:qef_664_21.

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2021Nowcasting South African gross domestic product using a suite of statistical models. (2021). Steenkamp, Daan ; Botha, Byron ; van Jaarsveld, Rossouw ; Reid, Geordie ; Olds, Tim. In: South African Journal of Economics. RePEc:bla:sajeco:v:89:y:2021:i:4:p:526-554.

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2021Macroeconomic Forecasting with Large Stochastic Volatility in Mean VARs. (2021). Koop, Gary ; Hou, Chenghan ; Cross, Jamie L. In: Working Papers. RePEc:bny:wpaper:0100.

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2021High Public Debt in an Uncertain World: Post-Covid-19 Dangers for Public Finance. (2021). Gros, Daniel. In: EconPol Policy Brief. RePEc:ces:econpb:_38.

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2021Combining Bayesian VARs with survey density forecasts: does it pay off?. (2021). Ravazzolo, Francesco ; Paredes, Joan ; Brenna, Federica ; Babura, Marta. In: Working Paper Series. RePEc:ecb:ecbwps:20212543.

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2021The COVID-19 shock and challenges for time series models. (2021). Hartwig, Benny ; Bobeica, Elena. In: Working Paper Series. RePEc:ecb:ecbwps:20212558.

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2021Do inflation expectations improve model-based inflation forecasts?. (2021). Menz, Jan-Oliver ; Leiva-Leon, Danilo ; Banbura, Marta ; Babura, Marta. In: Working Paper Series. RePEc:ecb:ecbwps:20212604.

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2021Fan charts 2.0: flexible forecast distributions with expert judgement. (2021). Sokol, Andrej. In: Working Paper Series. RePEc:ecb:ecbwps:20212624.

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2021Heat load forecasting using adaptive temporal hierarchies. (2021). Madsen, Henrik ; Guericke, Daniela ; Palsson, Olafur Petur ; Nystrup, Peter ; Moller, Jan Kloppenborg ; Bergsteinsson, Hjorleifur G. In: Applied Energy. RePEc:eee:appene:v:292:y:2021:i:c:s0306261921003603.

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2021Minimization of natural gas consumption of domestic boilers with convolutional, long-short term memory neural networks and genetic algorithm. (2021). Bampos, Zafeirios N ; Tsoumalis, Georgios I ; Keranidis, Stratos D ; Biskas, Pandelis N ; Chatzis, Georgios V. In: Applied Energy. RePEc:eee:appene:v:299:y:2021:i:c:s0306261921006760.

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2021A novel method for online real-time forecasting of crude oil price. (2021). Gong, Xue ; Zhang, Weiguo ; Zhao, Yuan ; Wang, Chao. In: Applied Energy. RePEc:eee:appene:v:303:y:2021:i:c:s0306261921009648.

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2021Review of low voltage load forecasting: Methods, applications, and recommendations. (2021). Voss, Marcus ; Giasemidis, Georgios ; Arora, Siddharth ; Haben, Stephen ; Greetham, Danica Vukadinovi. In: Applied Energy. RePEc:eee:appene:v:304:y:2021:i:c:s0306261921011326.

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2021A multivariate HAR-RV model with heteroscedastic errors and its WLS estimation. (2021). Hong, Won-Tak ; Hwang, Eunju. In: Economics Letters. RePEc:eee:ecolet:v:203:y:2021:i:c:s0165176521001324.

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2021Application of bagging in day-ahead electricity price forecasting and factor augmentation. (2021). Yildirim, Dilem ; Ozen, Kadir. In: Energy Economics. RePEc:eee:eneeco:v:103:y:2021:i:c:s0140988321004448.

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2021Point and interval forecasting of electricity supply via pruned ensembles. (2021). de Menezes, Lilian M ; Cyrino, Fernando Luiz ; Meira, Erick. In: Energy. RePEc:eee:energy:v:232:y:2021:i:c:s0360544221012573.

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2021Dynamic spillovers between energy and stock markets and their implications in the context of COVID-19. (2021). Shao, Liuguo ; Chen, Jinyu ; Zhang, Hua. In: International Review of Financial Analysis. RePEc:eee:finana:v:77:y:2021:i:c:s1057521921001629.

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2021Forecasting mortality with international linkages: A global vector-autoregression approach. (2021). Shi, Yanlin ; Li, Hong. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:100:y:2021:i:c:p:59-75.

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2021Assessing mortality inequality in the U.S.: What can be said about the future?. (2021). Hyndman, Rob J ; Li, Han. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:99:y:2021:i:c:p:152-162.

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2021Longevity risk and capital markets: The 2019-20 update. (2021). , Andrew ; Blake, David. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:99:y:2021:i:c:p:395-439.

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2021Dimensionality reduction in forecasting with temporal hierarchies. (2021). Madsen, Henrik ; Moller, Jan K ; Lindstrom, Erik ; Nystrup, Peter. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:3:p:1127-1146.

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202130 years of cointegration and dynamic factor models forecasting and its future with big data: Editorial. (2021). Ruiz, Esther ; Pea, Daniel ; Escribano, Alvaro. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:4:p:1333-1337.

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2021Factor extraction using Kalman filter and smoothing: This is not just another survey. (2021). Ruiz, Esther ; Miranda, Karen ; Poncela, Pilar. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:4:p:1399-1425.

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2021Principles and algorithms for forecasting groups of time series: Locality and globality. (2021). Hyndman, Rob ; Montero-Manso, Pablo. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:4:p:1632-1653.

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2021A Practical Guide to harnessing the HAR volatility model. (2021). Clements, Adam ; Daniel, . In: Journal of Banking & Finance. RePEc:eee:jbfina:v:133:y:2021:i:c:s0378426621002417.

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2021Clustering commodity markets in space and time: Clarifying returns, volatility, and trading regimes through unsupervised machine learning. (2021). Vo, Xuan Vinh ; Ur, Mobeen ; Chen, James Ming. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721001768.

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2021The role of coronavirus news in the volatility forecasting of crude oil futures markets: Evidence from China. (2021). Zhang, Hongwei ; Gao, Wang ; Liu, Yuanyuan ; Niu, Zibo. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721001872.

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2021Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach. (2021). Umar, Zaghum ; Gabauer, David ; Balcilar, Mehmet. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721002300.

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2021Forecasting electricity consumption of OECD countries: A global machine learning modeling approach. (2021). Gunay, Erdem M ; Murat, K M ; Sen, Doruk. In: Utilities Policy. RePEc:eee:juipol:v:70:y:2021:i:c:s0957178721000564.

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2021Stochastic coherency in forecast reconciliation. (2021). Kourentzes, Nikolaos ; Svetunkov, Ivan ; Pritularga, Kandrika F. In: International Journal of Production Economics. RePEc:eee:proeco:v:240:y:2021:i:c:s0925527321001973.

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2021A novel multiscale forecasting model for crude oil price time series. (2021). Chen, Xueli ; Heng, Jiani ; Hu, Yucai ; Li, Ranran. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521006144.

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2021Risk Mitigation in Business Activities on Emerging Markets. (2021). Rubaj, Piotr. In: European Research Studies Journal. RePEc:ers:journl:v:xxiv:y:2021:i:4b:p:699-712.

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2021Multivariate Analysis of Cryptocurrencies. (2021). Candila, Vincenzo. In: Econometrics. RePEc:gam:jecnmx:v:9:y:2021:i:3:p:28-:d:586873.

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2021Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining. (2021). Rady, Dina ; Hettiarachchi, Hansi ; Rakha, Ahmed ; Abdelsamea, Mohammed M ; Gaber, Mohamed Medhat. In: Economies. RePEc:gam:jecomi:v:9:y:2021:i:4:p:137-:d:644305.

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2021A Bayesian Model to Forecast the Time Series Kinetic Energy Data for a Power System. (2021). Gonzalez-Longatt, Francisco ; Ghimire, Bishal ; Shrestha, Ashish. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:11:p:3299-:d:568983.

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2021Distributed Learning Applications in Power Systems: A Review of Methods, Gaps, and Challenges. (2021). Musilek, Petr ; Gholizadeh, Nastaran. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:12:p:3654-:d:577869.

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2021A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities. (2021). Ur, Mobeen ; Chen, James Ming. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:19:p:6099-:d:642541.

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2021Prediction of Extreme Conditional Quantiles of Electricity Demand: An Application Using South African Data. (2021). Ranganai, Edmore ; Sigauke, Caston ; Maswanganyi, Norman. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:20:p:6704-:d:657229.

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2021.

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2021Forecasting Commodity Prices: Looking for a Benchmark. (2021). Rubaszek, Michał ; Kwas, Marek. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:27-459:d:577877.

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2020Forecasting inflation with twitter. (2020). Aromi, J. Daniel ; Llada, Martin. In: Asociación Argentina de Economía Política: Working Papers. RePEc:aep:anales:4308.

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2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2001.

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2020Trading on short-term path forecasts of intraday electricity prices. (2020). Weron, Rafał ; Chawla, Yash ; Marcjasz, Grzegorz ; Serafin, Tomasz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2017.

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2020Focused Bayesian Prediction. (2019). Frazier, David T ; Martin, Gael M ; Loaiza-Maya, Ruben. In: Papers. RePEc:arx:papers:1912.12571.

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2020Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories. (2020). Ziel, Florian ; Narajewski, Michal. In: Papers. RePEc:arx:papers:2005.01365.

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2020Neural Networks and Value at Risk. (2020). Weisheit, Stefan ; Klawunn, Michael ; Hoepner, Andreas ; Borth, Damian ; Arimond, Alexander. In: Papers. RePEc:arx:papers:2005.01686.

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2020Flexible Mixture Priors for Large Time-varying Parameter Models. (2020). Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2006.10088.

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2020Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2020). Weron, Rafał ; Marcjasz, Grzegorz ; de Schutter, Bart ; Lago, Jesus. In: Papers. RePEc:arx:papers:2008.08004.

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2020How is Machine Learning Useful for Macroeconomic Forecasting?. (2020). Stevanovic, Dalibor ; Surprenant, St'Ephane ; Leroux, Maxime ; Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2008.12477.

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2020Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary. (2020). Schnaitmann, Julie ; Liu, Xiaochun ; Dimitriadis, Timo. In: Papers. RePEc:arx:papers:2009.07341.

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2020.

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2020Large Time-Varying Volatility Models for Electricity Prices. (2020). Rossini, Luca ; Ravazzolo, Francesco ; Gianfreda, Angelica. In: Working Papers. RePEc:bny:wpaper:0088.

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2020Time-Varying Trend Models for Forecasting Inflation in Australia. (2020). Cross, Jamie ; Zhang, BO ; Guo, NA. In: Working Papers. RePEc:bny:wpaper:0092.

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2020Tracking and Predicting the German Economy: ifo vs. PMI. (2020). Reif, Magnus ; Lehmann, Robert. In: CESifo Working Paper Series. RePEc:ces:ceswps:_8145.

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2020The Forecasting Power of the ifo Business Survey. (2020). Lehmann, Robert. In: CESifo Working Paper Series. RePEc:ces:ceswps:_8291.

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2020Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach. (2020). Hallin, Marc ; Trucios, Carlos. In: Working Papers ECARES. RePEc:eca:wpaper:2013/315983.

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2020Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption. (2020). Assimakopoulos, Vassilios ; Kourentzes, Nikolaos ; Petropoulos, Fotios ; Spiliotis, Evangelos. In: Applied Energy. RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320264.

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2020Ensemble forecasting for intraday electricity prices: Simulating trajectories. (2020). Ziel, Florian ; Narajewski, Micha. In: Applied Energy. RePEc:eee:appene:v:279:y:2020:i:c:s0306261920312824.

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2020Wind speed big data forecasting using time-variant multi-resolution ensemble model with clustering auto-encoder. (2020). Chen, Chao ; Duan, Zhu ; Liu, Hui. In: Applied Energy. RePEc:eee:appene:v:280:y:2020:i:c:s0306261920314252.

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2020Macroeconomic news and acquirer returns in M&As: The impact of investor alertness. (2020). Saunders, Anthony ; Adra, Samer ; Barbopoulos, Leonidas G. In: Journal of Corporate Finance. RePEc:eee:corfin:v:64:y:2020:i:c:s0929119920300274.

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2020Volatility forecasting using related markets’ information for the Tokyo stock exchange. (2020). Su, Jen-Je ; Li, Bin ; Todorova, Neda ; Jayawardena, Nirodha I. In: Economic Modelling. RePEc:eee:ecmode:v:90:y:2020:i:c:p:143-158.

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2020Global predictive power of the upside and downside variances of the U.S. equity market. (2020). Zhang, Liguo ; Xiao, Jun ; Xu, Yahua. In: Economic Modelling. RePEc:eee:ecmode:v:93:y:2020:i:c:p:605-619.

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2020Generalizing the Theta method for automatic forecasting. (2020). Makridakis, Spyros ; Assimakopoulos, Vassilios ; Spiliotis, Evangelos. In: European Journal of Operational Research. RePEc:eee:ejores:v:284:y:2020:i:2:p:550-558.

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2020Asymmetric effects of geopolitical risks on energy returns and volatility under different market conditions. (2020). Zhang, Zitao ; Chen, Jinyu ; Hong, Kairong ; Qin, Yun . In: Energy Economics. RePEc:eee:eneeco:v:90:y:2020:i:c:s0140988320301912.

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2020Which sentiment index is more informative to forecast stock market volatility? Evidence from China. (2020). Tang, Linchun ; Liang, Chao ; Wei, YU. In: International Review of Financial Analysis. RePEc:eee:finana:v:71:y:2020:i:c:s1057521920301964.

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2020An encyclopedia for stock markets? Wikipedia searches and stock returns. (2020). Peter, Franziska J ; Behrendt, Simon ; Zimmermann, David J. In: International Review of Financial Analysis. RePEc:eee:finana:v:72:y:2020:i:c:s1057521920302076.

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2020Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?. (2020). Lu, Xinjie ; Wang, Jiqian ; Ma, Feng ; He, Feng. In: International Review of Financial Analysis. RePEc:eee:finana:v:72:y:2020:i:c:s1057521920302404.

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2020Structural breaks in online investor sentiment: A note on the nonstationarity of financial chatter. (2020). Behrendt, Simon ; Ballinari, Daniele. In: Finance Research Letters. RePEc:eee:finlet:v:35:y:2020:i:c:s1544612319311821.

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2020The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic. (2020). Wang, Jiqian ; Ma, Feng ; Liang, Chao. In: Finance Research Letters. RePEc:eee:finlet:v:36:y:2020:i:c:s1544612320308515.

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2020Fear of the coronavirus and the stock markets. (2020). Výrost, Tomáš ; Molnár, Peter ; Lyócsa, Štefan ; Baumohl, Eduard ; Molnar, Peter ; Vrost, Toma ; Lyocsa, Tefan. In: Finance Research Letters. RePEc:eee:finlet:v:36:y:2020:i:c:s1544612320310813.

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2020Forecasting in social settings: The state of the art. (2020). Petropoulos, Fotios ; Hyndman, Rob J ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:15-28.

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2020The M4 Competition: 100,000 time series and 61 forecasting methods. (2020). Assimakopoulos, Vassilios ; Spiliotis, Evangelos ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:54-74.

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2020A brief history of forecasting competitions. (2020). Hyndman, Rob J. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:7-14.

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2020Forecasting and forecast narratives: The Bank of England Inflation Reports. (2020). Reade, J ; Clements, Michael. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:4:p:1488-1500.

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2020Forecasting with news sentiment: Evidence with UK newspapers. (2020). Rambaccussing, Dooruj ; Kwiatkowski, Andrzej. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:4:p:1501-1516.

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2020Fear of hazards in commodity futures markets. (2020). Miffre, Joelle ; Gonzalez-Fernandez, Marcos ; Fuertes, Ana-Maria ; Fernandez-Perez, Adrian. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:119:y:2020:i:c:s0378426620301680.

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2020The predictive power of oil price shocks on realized volatility of oil: A note. (2020). Shahzad, Syed Jawad Hussain ; GUPTA, RANGAN ; Demirer, Riza ; Hussain, Syed Jawad ; Pierdzioch, Christian. In: Resources Policy. RePEc:eee:jrpoli:v:69:y:2020:i:c:s0301420720308874.

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2020When US sneezes, clichés spread: How do the commodity index funds react then?. (2020). Phani, B V ; Rahman, Abdul ; Ahmad, Wasim ; Awasthi, Kritika. In: Resources Policy. RePEc:eee:jrpoli:v:69:y:2020:i:c:s0301420720308898.

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2020Demand forecasting in the presence of systematic events: Cases in capturing sales promotions. (2020). Fahimnia, Behnam ; Eshragh, Ali ; Hurley, Jason ; Abolghasemi, Mahdi. In: International Journal of Production Economics. RePEc:eee:proeco:v:230:y:2020:i:c:s0925527320302553.

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2020The role of global economic conditions in forecasting gold market volatility: Evidence from a GARCH-MIDAS approach. (2020). Salisu, Afees ; GUPTA, RANGAN ; Bouri, Elie ; Ji, Qiang. In: Research in International Business and Finance. RePEc:eee:riibaf:v:54:y:2020:i:c:s0275531920307273.

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2020Predicting housing prices in China based on modified Holts exponential smoothing incorporating whale optimization algorithm. (2020). Wu, Lifeng ; Liu, Lianyi. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:72:y:2020:i:c:s0038012119306299.

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2020Nowcasting Tail Risks to Economic Activity with Many Indicators. (2020). Marcellino, Massimiliano ; Clark, Todd ; Carriero, Andrea. In: Working Papers. RePEc:fip:fedcwq:87955.

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2020Monetary Policy with Judgment. (2020). Manganelli, Simone ; Gelain, Paolo. In: Working Papers. RePEc:fip:fedcwq:88033.

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2020Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach. (2020). Zaman, Saeed ; Knotek, Edward. In: Working Papers. RePEc:fip:fedcwq:88961.

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2020.

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2020Infectious Diseases, Market Uncertainty and Oil Market Volatility. (2020). Pierdzioch, Christian ; GUPTA, RANGAN ; Demirer, Riza ; Bouri, Elie. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:16:p:4090-:d:395806.

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2020Measuring the Risk of Supply and Demand Imbalance at the Monthly to Seasonal Scale in France. (2020). Plougonven, Riwal ; Drobinski, Philippe ; Alonzo, Bastien ; Tankov, Peter. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:18:p:4888-:d:415383.

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2020Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning. (2020). de Lima, Jose Donizetti ; Stefenon, Stefano Frizzo ; Dal, Matheus Henrique ; Santos, Leandro Dos ; Mariani, Viviana Cocco ; Nied, Ademir. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:19:p:5190-:d:424029.

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2020The Impacts of Energy Consumption, Energy Prices and Energy Import-Dependency on Gross and Sectoral Value-Added in Sri Lanka. (2020). Murshed, Muntasir ; Mahmood, Haider ; Bassim, Mohga ; Yousef, Tarek Tawfik. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:24:p:6565-:d:461230.

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2020Load Nowcasting: Predicting Actuals with Limited Data. (2020). Ziel, Florian. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:6:p:1443-:d:334632.

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2019In search of a job: Forecasting employment growth using Google Trends. (2019). Montes, Erik Christian ; Borup, Daniel. In: CREATES Research Papers. RePEc:aah:create:2019-13.

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2019Comparing the forecasting of cryptocurrencies by Bayesian time-varying volatility models. (2019). Rossini, Luca ; Bohte, Rick. In: Papers. RePEc:arx:papers:1909.06599.

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2019Estimating Large Mixed-Frequency Bayesian VAR Models. (2019). Ankargren, Sebastian ; Jon, Paulina. In: Papers. RePEc:arx:papers:1912.02231.

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2019When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage. (2019). Simoni, Anna ; Ferrara, Laurent. In: Working papers. RePEc:bfr:banfra:717.

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2019Bayesian VAR Forecasts, Survey Information and Structural Change in the Euro Area. (2019). Ganics, Gergely ; Odendahl, Florens. In: Working papers. RePEc:bfr:banfra:733.

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2019Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them. (2019). Rossi, Barbara. In: Working Papers. RePEc:bge:wpaper:1162.

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2019Detecting Imbalances in House Prices: What Goes Up Must Come Down?. (2019). Anundsen, Andre K. In: Scandinavian Journal of Economics. RePEc:bla:scandj:v:121:y:2019:i:4:p:1587-1619.

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2019A New Economic Framework: A DSGE Model with Cryptocurrency. (2019). Lorusso, Marco ; Asimakopoulos, Stylianos ; Ravazzolo, Francesco. In: Working Papers. RePEc:bny:wpaper:0079.

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2019Forecasting GDP all over the world using leading indicators based on comprehensive survey data. (2019). Wohlrabe, Klaus ; Lehmann, Robert ; Garnitz, Johanna. In: CESifo Working Paper Series. RePEc:ces:ceswps:_7691.

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2019Macro-Financial Linkages in the High-Frequency Domain: The Effects of Uncertainty on Realized Volatility. (2019). Caporale, Guglielmo Maria ; Yfanti, Stavroula ; Karanasos, Menelaos. In: CESifo Working Paper Series. RePEc:ces:ceswps:_8000.

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2019Extracting information on economic activity from business and consumer surveys in an emerging economy (Chile). (2019). Pedersen, Michael ; Figueroa, Camila. In: Journal Economía Chilena (The Chilean Economy). RePEc:chb:bcchec:v:22:y:2019:i:3:p:098-131.

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2019How is Machine Learning Useful for Macroeconomic Forecasting?. (2019). Stevanovic, Dalibor ; Surprenant, Stephane ; Leroux, Maxime ; Coulombe, Philippe Goulet. In: CIRANO Working Papers. RePEc:cir:cirwor:2019s-22.

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2019Central bank tone and the dispersion of views within monetary policy committees. (2019). Labondance, Fabien ; Hubert, Paul. In: Working Papers. RePEc:crb:wpaper:2019-08.

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2019When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage. (2019). Simoni, Anna ; Ferrara, Laurent. In: Working Papers. RePEc:crs:wpaper:2019-04.

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2019Designing Robust Monetary Policy Using Prediction Pools. (2019). Levine, Paul ; Deak, Szabolcs ; Pearlman, J ; Mirza, A. In: Working Papers. RePEc:cty:dpaper:19/11.

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2019Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques. (2019). Bekiros, Stelios ; Altan, Ayta ; Karasu, Sekin. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:126:y:2019:i:c:p:325-336.

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2019Expected currency returns and volatility risk premia. (2019). Haas, Jose Renato. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:49:y:2019:i:c:p:206-234.

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2019The importance of social learning for non-market valuation. (2019). Stoeckl, Natalie ; Grainger, Daniel. In: Ecological Economics. RePEc:eee:ecolec:v:164:y:2019:i:c:36.

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2019To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market. (2019). , Johnnie ; Ma, Tiejun ; Sung, Ming-Chien ; Green, Lawrence . In: European Journal of Operational Research. RePEc:eee:ejores:v:278:y:2019:i:1:p:226-239.

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2019Probabilistic forecast reconciliation with applications to wind power and electric load. (2019). Jeon, Joo Young ; Petropoulos, Fotios ; Panagiotelis, Anastasios. In: European Journal of Operational Research. RePEc:eee:ejores:v:279:y:2019:i:2:p:364-379.

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2019Crude oil futures trading and uncertainty. (2019). Czudaj, Robert. In: Energy Economics. RePEc:eee:eneeco:v:80:y:2019:i:c:p:793-811.

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2019An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction. (2019). Wei, Yi-Ming ; Chu, Xianghua ; Li, LI ; He, Huangda ; Xie, Kangqiang ; Qin, Quande ; Wu, Teresa. In: Energy Economics. RePEc:eee:eneeco:v:83:y:2019:i:c:p:402-414.

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2019Forecasting sales in the supply chain: Consumer analytics in the big data era. (2019). Boone, Tonya ; Sanders, Nada R ; Jain, Aditya ; Ganeshan, Ram. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:170-180.

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2019Demand forecasting with user-generated online information. (2019). Schaer, Oliver ; Fildes, Robert ; Kourentzes, Nikolaos. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:197-212.

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2019Forecasting football match results in national league competitions using score-driven time series models. (2019). Lit, Rutger ; Koopman, Siem Jan. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:797-809.

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2019Do IMF forecasts respect Okun’s law? Evidence for advanced and developing economies. (2019). Loungani, Prakash ; Jalles, Joao ; Ball, Laurence. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:3:p:1131-1142.

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2019Some observations on forecasting and policy. (2019). Wright, Jonathan H. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:3:p:1186-1192.

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2019Neural networks for GEFCom2017 probabilistic load forecasting. (2019). Herre, L ; Mazidi, P ; Dimoulkas, I. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1409-1423.

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2019Machine learning methods for GEFCom2017 probabilistic load forecasting. (2019). Hua, Grace N ; Smyl, Slawek. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1424-1431.

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2019An ensemble approach to GEFCom2017 probabilistic load forecasting. (2019). Landgraf, Andrew J. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1432-1438.

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2019Reconciled boosted models for GEFCom2017 hierarchical probabilistic load forecasting. (2019). Roach, Cameron. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1439-1450.

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2019Data visualization and forecast combination for probabilistic load forecasting in GEFCom2017 final match. (2019). Abdulla, Khalid ; de Hoog, Julian. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1451-1459.

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2019Data preprocessing and quantile regression for probabilistic load forecasting in the GEFCom2017 final match. (2019). Quintana, J M ; Kanda, Isao . In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1460-1468.

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2019Predicting relative forecasting performance: An empirical investigation. (2019). Sekhposyan, Tatevik ; Granziera, Eleonora. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1636-1657.

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2019Forecasting GDP growth with NIPA aggregates: In search of core GDP. (2019). Knotek, Edward S ; Garciga, Christian . In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1814-1828.

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2019Forecasting spare part demand using service maintenance information. (2019). Boute, Robert ; van der Auweraer, Sarah. In: International Journal of Production Economics. RePEc:eee:proeco:v:213:y:2019:i:c:p:138-149.

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2019A credit cycle model with market sentiments. (2019). Zoerner, Thomas ; Gardini, Laura ; Commendatore, Pasquale ; Zorner, Thomas O ; Kubin, Ingrid. In: Structural Change and Economic Dynamics. RePEc:eee:streco:v:50:y:2019:i:c:p:159-174.

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2019Spare Parts Inventory Control based on Maintenance Planning. (2019). Dekker, Rommert ; van Jaarsveld, W L ; Zhu, S. In: Econometric Institute Research Papers. RePEc:ems:eureir:114791.

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2019The Output Gap and Youth Unemployment: An Analysis Based on Okun’s Law. (2019). Seputiene, Janina ; Butkus, Mindaugas. In: Economies. RePEc:gam:jecomi:v:7:y:2019:i:4:p:108-:d:283496.

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2019Short-Term Electricity Demand Forecasting Using Components Estimation Technique. (2019). Ali, Sajid ; Iftikhar, Hasnain ; Shah, Ismail ; Wang, Depeng. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:13:p:2532-:d:244687.

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2019Averaging Predictive Distributions Across Calibration Windows for Day-Ahead Electricity Price Forecasting. (2019). Weron, Rafał ; Uniejewski, Bartosz ; Serafin, Tomasz. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:13:p:2561-:d:245313.

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2019Weighting Factor Selection of the Ensemble Model for Improving Forecast Accuracy of Photovoltaic Generating Resources. (2019). Hur, Jin ; Kim, Kihan. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:17:p:3315-:d:261701.

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2019Energy Scheduling Using Decision Trees and Emulation: Agriculture Irrigation with Run-of-the-River Hydroelectricity and a PV Case Study. (2019). Vale, Zita ; Faria, Pedro ; Abrishambaf, Omid ; Corchado, Juan M. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:20:p:3987-:d:278446.

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2019Forecasting the Price Distribution of Continuous Intraday Electricity Trading. (2019). Steinke, Florian ; Janke, Tim. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:22:p:4262-:d:285033.

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2019Modeling Intraday Markets under the New Advances of the Cross-Border Intraday Project (XBID): Evidence from the German Intraday Market. (2019). Kath, Christopher. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:22:p:4339-:d:286894.

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2019Estimation and Simulation of the Transaction Arrival Process in Intraday Electricity Markets. (2019). Ziel, Florian ; Narajewski, Micha. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:23:p:4518-:d:291644.

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2019Neural Network Based Model Comparison for Intraday Electricity Price Forecasting. (2019). Ugurlu, Umut ; Oksuz, Ilkay. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:23:p:4557-:d:292342.

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2019Day-Ahead vs. Intraday—Forecasting the Price Spread to Maximize Economic Benefits. (2019). Weron, Tomasz ; Nitka, Weronika ; Maciejowska, Katarzyna. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:4:p:631-:d:206429.

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2019Automatic Grouping in Singular Spectrum Analysis. (2019). Hassani, Hossein ; Kalantari, Mahdi. In: Forecasting. RePEc:gam:jforec:v:1:y:2019:i:1:p:13-204:d:281648.

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