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Citation Profile [Updated: 2024-06-27 10:45:44]
5 Years H Index
87
Impact Factor (IF)
1.58
5 Years IF
1.65
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
1990 0.01 0.11 0.23 0.03 74 74 545 17 17 181 2 342 10 0 5 0.07 0.05
1991 0.02 0.1 0.14 0.03 59 133 380 19 36 169 3 381 12 0 0 0.05
1992 0.04 0.11 0.11 0.04 90 223 1273 23 60 133 5 373 15 0 0 0.05
1993 0.05 0.13 0.09 0.03 76 299 828 26 87 149 7 404 13 0 0 0.06
1994 0.02 0.14 0.08 0.05 67 366 513 27 115 166 4 394 20 0 2 0.03 0.07
1995 0.08 0.22 0.32 0.11 60 426 570 136 252 143 12 366 39 80 58.8 9 0.15 0.1
1996 0.15 0.25 0.4 0.16 65 491 446 194 449 127 19 352 56 96 49.5 2 0.03 0.12
1997 0.1 0.25 0.29 0.15 62 553 1725 159 609 125 13 358 55 56 35.2 11 0.18 0.11
1998 0.1 0.28 0.39 0.17 35 588 942 228 840 127 13 330 55 66 28.9 1 0.03 0.13
1999 0.33 0.31 0.56 0.24 39 627 779 347 1188 97 32 289 69 63 18.2 6 0.15 0.15
2000 0.41 0.36 0.41 0.28 53 680 1505 279 1469 74 30 261 73 83 29.7 6 0.11 0.16
2001 0.34 0.39 0.4 0.33 44 724 690 286 1759 92 31 254 84 72 25.2 16 0.36 0.17
2002 0.35 0.41 0.42 0.42 55 779 754 329 2090 97 34 233 99 87 26.4 34 0.62 0.21
2003 0.55 0.44 0.65 0.55 67 846 1009 530 2641 99 54 226 124 152 28.7 15 0.22 0.22
2004 0.5 0.5 0.62 0.53 67 913 1730 555 3204 122 61 258 138 95 17.1 28 0.42 0.22
2005 0.6 0.51 0.92 0.59 67 980 1709 904 4109 134 80 286 169 112 12.4 28 0.42 0.23
2006 0.71 0.5 1.06 0.6 60 1040 2202 1093 5210 134 95 300 179 503 46 24 0.4 0.23
2007 0.9 0.46 0.82 0.64 63 1103 1156 901 6112 127 114 316 201 146 16.2 39 0.62 0.2
2008 1.18 0.49 0.89 0.9 63 1166 1673 1030 7148 123 145 324 291 146 14.2 44 0.7 0.23
2009 0.87 0.48 0.85 0.92 72 1238 1376 1044 8202 126 110 320 295 110 10.5 43 0.6 0.24
2010 1.04 0.49 0.87 0.94 74 1312 1087 1136 9349 135 140 325 307 141 12.4 13 0.18 0.21
2011 1.1 0.52 1.19 1.08 148 1460 1750 1727 11090 146 160 332 359 459 26.6 138 0.93 0.24
2012 0.68 0.52 0.99 0.83 64 1524 2934 1502 12602 222 152 420 348 96 6.4 39 0.61 0.22
2013 0.92 0.56 1.13 1 56 1580 1064 1767 14381 212 196 421 419 194 11 40 0.71 0.24
2014 1.73 0.55 1.36 1.24 77 1657 2420 2244 16627 120 208 414 514 195 8.7 115 1.49 0.23
2015 1.91 0.55 1.36 1.22 81 1738 1192 2356 18987 133 254 419 513 244 10.4 80 0.99 0.23
2016 1.96 0.53 1.46 1.41 102 1840 1869 2673 21668 158 309 426 599 327 12.2 134 1.31 0.21
2017 1.51 0.55 1.39 1.7 76 1916 1112 2662 24339 183 276 380 646 281 10.6 51 0.67 0.22
2018 1.74 0.56 1.48 1.68 52 1968 810 2883 27243 178 309 392 658 156 5.4 38 0.73 0.24
2019 1.91 0.57 1.74 1.88 128 2096 1199 3649 30899 128 244 388 729 494 13.5 88 0.69 0.23
2020 2 0.69 1.88 1.85 98 2194 1038 4124 35031 180 360 439 814 500 12.1 138 1.41 0.33
2021 1.92 0.82 1.82 1.89 101 2295 538 4167 39200 226 433 456 863 357 8.6 107 1.06 0.31
2022 2.16 0.89 1.74 1.77 97 2392 279 4172 43374 199 430 455 806 656 15.7 112 1.15 0.27
2023 1.58 0.99 1.5 1.65 107 2499 108 3754 47128 198 313 476 785 497 13.2 74 0.69 0.29
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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2095
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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1142
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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822
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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681
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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664
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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515
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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486
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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429
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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406
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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292
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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273
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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260
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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244
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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222
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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218
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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211
172006Modelling 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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205
181995Forecasting 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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203
192016Probabilistic 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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196
202016Probabilistic 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
212011MIDAS 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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190
222005Macro 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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188
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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179
242011MIDAS 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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177
252008Real-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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175
262000Out-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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171
272006Judgmental 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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170
282008Forecasting 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
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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168
302005Forecasting 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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167
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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162
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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159
332009Effective 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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150
342009Forecasting 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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149
352004Efficient 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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143
362008Forecasting 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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141
371993Betting 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
381993Earnings 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
391993Comments 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
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
412004Authors 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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131
422005The 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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130
432017The 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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130
442001How 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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128
452009Forecasting 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
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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121
472020The 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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119
481993Reply 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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116
492015Conditional 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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116
501992The 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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115
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.

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944
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

167
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

136
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.

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98
52020The 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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74
61998Forecasting 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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69
72020DeepAR: 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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67
81999The 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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57
91989Combining 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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52
101992Modeling 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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50
112016Probabilistic 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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50
122002A 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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49
132016The 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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49
142000The 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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46
152004Authors 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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46
162020The 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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46
172020Forecasting 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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45
182016Probabilistic 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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45
192014Evaluating 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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44
202000Out-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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42
212011Forecasting 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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40
222020Forecasting 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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39
232017The 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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39
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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38
252004Forecasting 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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262020Forecasting 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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272021Recurrent 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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282019Machine 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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292021Temporal Fusion Transformers for interpretable multi-horizon time series forecasting. (2021). Pfister, Tomas ; Loeff, Nicolas ; Arik, Sercan O ; Lim, Bryan. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:4:p:1748-1764.

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302019Text-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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35
312010Comparing 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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35
322016A 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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332020FFORMA: 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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33
342007Combining 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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32
352018The 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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362014Correlation dynamics and international diversification benefits. (2014). Christoffersen, Peter ; Jacobs, Kris ; Jin, Xisong ; Errunza, Vihang. In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:3:p:807-824.

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372021Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants. (2021). Gao, Ying ; Jia, Lifen ; Xu, Huilin ; Chen, Wei. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:1:p:28-43.

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382000The 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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39200625 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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402006Modelling 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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26
412005The 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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26
422017Quantile 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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26
432013Combining 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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26
442014Global 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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452019Forecasting 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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462019Understanding 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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472004Forecasting 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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482017VARX-L: Structured regularization for large vector autoregressions with exogenous variables. (2017). Nicholson, William B ; Bien, Jacob ; Matteson, David S. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:3:p:627-651.

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492017Forecasting with VAR models: Fat tails and stochastic volatility. (2017). Pinter, Gabor ; mumtaz, haroon ; Chiu, Ching-Wai (Jeremy). In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:4:p:1124-1143.

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502005The M3 competition: Statistical tests of the results. (2005). Stekler, Herman ; Franses, Philip Hans ; Koning, Alex J. ; Hibon, Michele . In: International Journal of Forecasting. RePEc:eee:intfor:v:21:y:2005:i:3:p:397-409.

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2023An online transfer learning model for wind turbine power prediction based on spatial feature construction and system-wide update. (2023). Wei, LU ; Li, Jianping ; Wang, Jujie ; Liu, Ling. In: Applied Energy. RePEc:eee:appene:v:340:y:2023:i:c:s0306261923004130.

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2023Stock market volatility prediction: Evidence from a new bagging model. (2023). Huang, Dengshi ; Xu, Weiju ; Bu, Jinfeng ; Luo, Qin. In: International Review of Economics & Finance. RePEc:eee:reveco:v:87:y:2023:i:c:p:445-456.

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2023Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach. (2023). Zhang, Meng ; Li, Yuanzheng ; Wang, Ruinong ; Long, Chao. In: Applied Energy. RePEc:eee:appene:v:329:y:2023:i:c:s0306261922015483.

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2023Scarring effects of the COVID-19 pandemic on the Italian labour market. (2022). Fiaschi, Davide ; Tealdi, Cristina. In: Papers. RePEc:arx:papers:2202.13317.

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2023Evaluation of the best M4 competition methods for small area population forecasting. (2023). Temple, Jeromey ; Grossman, Irina ; Wilson, Tom. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:110-122.

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2023Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives. (2023). Girolimetto, Daniele ; di Fonzo, Tommaso. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:39-57.

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2023.

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2023Volatility jumps and the classification of monetary policy announcements. (2023). Gallo, Giampiero ; Otranto, E ; Lacava, D. In: Working Paper CRENoS. RePEc:cns:cnscwp:202306.

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2023Realized Covariance Models with Time-varying Parameters and Spillover Effects. (2023). Bauwens, Luc ; Otranto, Edoardo. In: LIDAM Discussion Papers CORE. RePEc:cor:louvco:2023019.

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2023Predicting stock realized variance based on an asymmetric robust regression approach. (2023). He, Mengxi ; Zhang, Yaojie ; Hao, Xianfeng ; Zhao, Yuqi. In: Bulletin of Economic Research. RePEc:bla:buecrs:v:75:y:2023:i:4:p:1022-1047.

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2023Improving variance forecasts: The role of Realized Variance features. (2023). Papantonis, Ioannis ; Tzavalis, Elias ; Rompolis, Leonidas. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1221-1237.

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2023Robust regression for electricity demand forecasting against cyberattacks. (2023). Wang, You-Gan ; Wu, Jinran ; Vandenheuvel, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1573-1592.

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2023Seasonal Methods of Demand Forecasting in the Supply Chain as Support for the Company’s Sustainable Growth. (2023). Borucka, Anna. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:9:p:7399-:d:1136507.

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2023Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions. (2023). Hecq, Alain ; Wilms, Ines ; Ternes, Marie. In: Papers. RePEc:arx:papers:2301.10592.

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2023Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects. (2023). Dong, Xiaowen ; Cucuringu, Mihai ; Pu, Xingyue ; Zhang, Chao. In: Papers. RePEc:arx:papers:2308.01419.

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2023Stock market volatility predictability in a data-rich world: A new insight. (2023). Ma, Yuanhui ; Wahab, M. I. M., ; Wang, Jiqian. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1804-1819.

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2023Composite forecasting of vast-dimensional realized covariance matrices using factor state-space models. (2023). Hartkopf, Jan Patrick. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:1:d:10.1007_s00181-022-02245-1.

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2023A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging. (2023). Rauf, Hafiz Tayyab ; Ragab, Adham E ; Ur, Saeed ; Okon, Ofonime Dominic ; Raza, Mudassar ; Mumtaz, Sidrah. In: Agriculture. RePEc:gam:jagris:v:13:y:2023:i:3:p:667-:d:1095888.

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2023Optimized ensemble value function approximation for dynamic programming. (2023). Cervellera, Cristiano. In: European Journal of Operational Research. RePEc:eee:ejores:v:309:y:2023:i:2:p:719-730.

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2023.

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2023LoMEF: A framework to produce local explanations for global model time series forecasts. (2023). Hyndman, Rob ; Bergmeir, Christoph ; Rajapaksha, Dilini. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1424-1447.

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2023From BASEL III to BASEL IV and beyond: Expected shortfall and expectile risk measures. (2023). Nedeltchev, Dragomir C ; Zaevski, Tsvetelin S. In: International Review of Financial Analysis. RePEc:eee:finana:v:87:y:2023:i:c:s1057521923001618.

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2023Loss function-based change point detection in risk measures. (2023). Wang, Shixuan ; Lazar, Emese ; Xue, Xiaohan. In: European Journal of Operational Research. RePEc:eee:ejores:v:310:y:2023:i:1:p:415-431.

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2023Machine learning for US cross-industry return predictability under information uncertainty. (2023). Khlifi, Foued ; ben Lahouel, Bechir ; ben Zaied, Younes ; Awijen, Haithem. In: Research in International Business and Finance. RePEc:eee:riibaf:v:64:y:2023:i:c:s0275531923000193.

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2023A tale of two recession-derivative indicators. (2023). Yang, Cheng ; Lahiri, Kajal. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:2:d:10.1007_s00181-023-02361-6.

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2023Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes. (2023). Gorse, Denise ; Pomorski, Piotr. In: Papers. RePEc:arx:papers:2310.04536.

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2023On spare parts demand and the installed base concept: A theoretical approach. (2023). Frenk, J. B. G., ; Amniattalab, Ayda ; Hekimolu, Mustafa. In: International Journal of Production Economics. RePEc:eee:proeco:v:266:y:2023:i:c:s092552732300275x.

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2023Forecasting VIX using two-component realized EGARCH model. (2023). Liu, LI ; Zhao, AN ; Wu, Xinyu. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:67:y:2023:i:c:s1062940823000578.

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2023Multi-Layer Spillovers between Volatility and Skewness in International Stock Markets Over a Century of Data: The Role of Disaster Risks. (2023). Bouri, Elie ; Gupta, Rangan ; Plakandaras, Vasilios ; Foglia, Matteo. In: Working Papers. RePEc:pre:wpaper:202337.

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2023A Look at Financial Dependencies by Means of Econophysics and Financial Economics. (2023). di Matteo, T ; Raddant, M. In: Papers. RePEc:arx:papers:2302.08208.

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2023Regional Productivity Network in the EU. (2023). Shin, Yongcheol ; Serlenga, Laura ; Mastromarco, Camilla. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10404.

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2023Interconnected multilayer networks: Quantifying connectedness among global stock and foreign exchange markets. (2023). Zhu, You ; Uddin, Gazi Salah ; Xie, Chi ; Feng, Yusen ; Wan, LI ; Wang, Gang-Jin. In: International Review of Financial Analysis. RePEc:eee:finana:v:86:y:2023:i:c:s1057521923000340.

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2023Model-free connectedness measures. (2023). Stenfors, Alexis ; Chatziantoniou, Ioannis ; Gabauer, David. In: Finance Research Letters. RePEc:eee:finlet:v:54:y:2023:i:c:s1544612323001770.

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2023Trade openness and connectedness of national productions: Do financial openness, economic specialization, and the size of the country matter?. (2023). Toure, Adam ; Mao Takongmo, Charles-O., . In: Economic Modelling. RePEc:eee:ecmode:v:125:y:2023:i:c:s0264999323001529.

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2023Recent developments of the autoregressive distributed lag modelling framework. (2023). Cho, Jin Seo ; Shin, Yongcheol ; Greenwoodnimmo, Matthew. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:37:y:2023:i:1:p:7-32.

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2023What is mine is yours: Sovereign risk transmission during the European debt crisis. (2023). Shin, Yongcheol ; Nguyen, Viet Hoang ; Greenwood-Nimmo, Matthew. In: Journal of Financial Stability. RePEc:eee:finsta:v:65:y:2023:i:c:s1572308923000037.

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2023Interconnected networks: Measuring extreme risk connectedness between China’s financial sector and real estate sector. (2023). Zhou, Xuewei ; Ouyang, Zisheng. In: International Review of Financial Analysis. RePEc:eee:finana:v:90:y:2023:i:c:s1057521923004088.

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2023Which return regime induces overconfidence behavior? Artificial intelligence and a nonlinear approach. (2023). alp coşkun, esra ; Marco, Chi Keung ; Kahyaoglu, Hakan ; Cokun, Esra Alp. In: Financial Innovation. RePEc:spr:fininn:v:9:y:2023:i:1:d:10.1186_s40854-022-00446-2.

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2023Revisiting overconfidence in investment decision-making: Further evidence from the U.S. market. (2023). Abedin, Mohammad Zoynul ; Harasheh, Murad ; Bouteska, Ahmed. In: Research in International Business and Finance. RePEc:eee:riibaf:v:66:y:2023:i:c:s027553192300154x.

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2023Probabilistic spatiotemporal forecasting of wind speed based on multi-network deep ensembles method. (2023). Qu, Yuhua ; Shen, Qin ; Liu, Shuai ; Qin, Hui ; Wang, Yun ; Zhou, Jianzhong. In: Renewable Energy. RePEc:eee:renene:v:209:y:2023:i:c:p:231-247.

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2023The COVID-19 shock and challenges for inflation modelling. (2023). Hartwig, Benny ; Bobeica, Elena. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:519-539.

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2023Measuring the strengths of the teams in the UEFA Champions League. (2023). L'aszl'o Csat'o, . In: Papers. RePEc:arx:papers:2304.09078.

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2023Recent developments in multivariate wind and solar power forecasting. (2023). Madsen, Henrik ; Bacher, Peder ; Moller, Jan K ; Bjerregrd, Mathias B ; Nystrup, Peter ; Sorensen, Mikkel L. In: Wiley Interdisciplinary Reviews: Energy and Environment. RePEc:bla:wireae:v:12:y:2023:i:2:n:e465.

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2023Weighted least squares model averaging for accelerated failure time models. (2023). Zhao, Hui ; Liu, Binxia ; Dong, Qingkai. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:184:y:2023:i:c:s0167947323000543.

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2023Nonlinearities in Macroeconomic Tail Risk through the Lens of Big Data Quantile Regressions. (2023). Huber, Florian ; Pruser, Jan. In: Papers. RePEc:arx:papers:2301.13604.

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2023Testing Quantile Forecast Optimality. (2023). Pohle, Marc-Oliver ; Gutknecht, Daniel ; Fosten, Jack. In: Papers. RePEc:arx:papers:2302.02747.

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2023Balance of Risks and the Anchoring of Consumer Expectations. (2023). Ryngaert, Jane M. In: JRFM. RePEc:gam:jjrfmx:v:16:y:2023:i:2:p:79-:d:1049476.

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2023Dissecting hedge funds strategies. (2023). Noori, Mohammad ; Hitaj, Asmerilda. In: International Review of Financial Analysis. RePEc:eee:finana:v:85:y:2023:i:c:s1057521922004033.

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2023Medium-term growth-at-risk in the euro area. (2023). Greiwe, Moritz ; Rusnak, Marek ; Lang, Jan Hannes. In: Working Paper Series. RePEc:ecb:ecbwps:20232808.

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2023Do Professional Forecasters Phillips Curves Incorporate the Beliefs of Others?. (2023). Clements, Michael ; Wang, Shixuan. In: Economics Discussion Papers. RePEc:rdg:emxxdp:em-dp2023-05.

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2023Bias-Correction in Time Series Quantile Regression Models. (2023). Vavra, Marian. In: Working and Discussion Papers. RePEc:svk:wpaper:1094.

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2023Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!. (2022). Kastner, Gregor ; Gruber, Luis. In: Papers. RePEc:arx:papers:2206.04902.

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2023Bayesian Forecasting in the 21st Century: A Modern Review. (2022). Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Maneesoonthorn, Worapree ; Frazier, David T ; Martin, Gael M ; Panagiotelis, Anastasios ; Nibbering, Didier ; Maheu, John . In: Papers. RePEc:arx:papers:2212.03471.

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2023Bayesian Forecasting in the 21st Century: A Modern Review. (2023). Maheu, John ; Panagiotelis, Anastasios ; Nibbering, Didier ; Koop, Gary ; Huber, Florian ; Loaiza-Maya, Ruben ; Frazier, David T ; Martin, Gael M. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2023-1.

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2023Real-time inflation forecasting using non-linear dimension reduction techniques. (2023). Huber, Florian ; Klieber, Karin ; Hauzenberger, Niko. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:901-921.

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2023TAIL FORECASTING WITH MULTIVARIATE BAYESIAN ADDITIVE REGRESSION TREES. (2023). Pfarrhofer, Michael ; Marcellino, Massimiliano ; Koop, Gary ; Huber, Florian ; Clark, Todd E. In: International Economic Review. RePEc:wly:iecrev:v:64:y:2023:i:3:p:979-1022.

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2023Comparing stochastic volatility specifications for large Bayesian VARs. (2023). Chan, Joshua. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1419-1446.

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2023Large stochastic volatility in mean VARs. (2023). Poon, Aubrey ; Koop, Gary ; Hou, Chenghan ; Cross, Jamie L. In: Journal of Econometrics. RePEc:eee:econom:v:236:y:2023:i:1:s030440762300163x.

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2023Estimating the ordering of variables in a VAR using a Plackett–Luce prior. (2023). Koop, Gary ; Wu, Ping. In: Economics Letters. RePEc:eee:ecolet:v:230:y:2023:i:c:s0165176523002720.

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2023Modeling the out-of-sample predictive relationship between equity premium, returns on the price of crude oil and economic policy uncertainty using multivariate time-varying dimension models. (2023). Nonejad, Nima. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004620.

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2023Ace in Hand: The Value of Card Data in the Game of Nowcasting. (2023). Belka, Jan ; Adam, Tomas ; Schwarz, Jiri ; Prause, Hana ; Mateju, Jakub ; Hluze, Martin. In: Working Papers. RePEc:cnb:wpaper:2023/14.

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2023.

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2023Uncertainty of Household Inflation Expectations: Reconciling Point and Density Forecasts. (2023). Zhao, Yongchen. In: Working Papers. RePEc:tow:wpaper:2023-09.

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2023Global economic uncertainty and the Chinese stock market: Assessing the impacts of global indicators. (2023). Cui, Can ; Zhang, Yueyan ; Bai, Jiancheng. In: Research in International Business and Finance. RePEc:eee:riibaf:v:65:y:2023:i:c:s0275531923000752.

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2023Measuring Persistent Global Economic Factors with Output, Commodity Price, and Commodity Currency Data. (2023). Startz, Richard ; Basistha, Arabinda. In: Working Papers. RePEc:wvu:wpaper:23-05.

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2023Nowcasting industrial production using linear and non-linear models of electricity demand. (2023). Galdi, Giulio ; Casarin, Roberto ; Ravazzolo, Francesco ; Fezzi, Carlo ; Ferrari, Davide. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323005042.

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2023Predicting Firm Exits with Machine Learning: Implications for Selection into COVID-19 Support and Productivity Growth. (2023). Vogt, Benedikt ; Kattenberg, Mark ; Davies, Lily. In: CPB Discussion Paper. RePEc:cpb:discus:444.

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2023Application of Markov-Switching MIDAS models to nowcasting of GDP and its components. (2023). Stankevich, Ivan. In: Applied Econometrics. RePEc:ris:apltrx:0474.

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2023sparseDFM: An R Package to Estimate Dynamic Factor Models with Sparse Loadings. (2023). Gibberd, Alex ; Chan, Tak-Shing ; Mosley, Luke. In: Papers. RePEc:arx:papers:2303.14125.

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2023High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research. (2023). Anderson, Brian ; Deistler, Manfred ; Lippi, Marco. In: Econometrics and Statistics. RePEc:eee:ecosta:v:26:y:2023:i:c:p:3-16.

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2023Performance Improvement of LSTM-based Deep Learning Model for Streamflow Forecasting Using Kalman Filtering. (2023). Taheri, Somayeh ; Nia, Alireza Moghaddam ; Asadi, Ali ; Moradi, Saba ; Ostadkalayeh, Fatemeh Bakhshi. In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA). RePEc:spr:waterr:v:37:y:2023:i:8:d:10.1007_s11269-023-03492-2.

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2023Does climate change affect economic data?. (2023). Choi, IN. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:6:d:10.1007_s00181-023-02363-4.

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2023Economic activity and C02 emissions in Spain. (2023). Ortega, Esther Ruiz ; Poncela, Maria Pilar ; de Juan, Aranzazu. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:37975.

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2023Dynamic Factor Models: a Genealogy. (2023). Hallin, Marc ; Barigozzi, Matteo. In: Working Papers ECARES. RePEc:eca:wpaper:2013/364359.

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2023Ignoring cross-correlated idiosyncratic components when extracting factors in dynamic factor models. (2023). Ruiz, Esther ; Poncela, Pilar ; Fresoli, Diego. In: Economics Letters. RePEc:eee:ecolet:v:230:y:2023:i:c:s0165176523002719.

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2023Forecasting on metal resource spot settlement price: New evidence from the machine learning model. (2023). Zhang, YI ; Li, Chongyang ; Shi, Tao. In: Resources Policy. RePEc:eee:jrpoli:v:81:y:2023:i:c:s0301420723000685.

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2023Non-linear INAR(1) processes under an alternative geometric thinning operator. (2023). , Roger ; Silva, Rodrigo B ; Ndreca, Sokol ; Barreto-Souza, Wagner. In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:testjl:v:32:y:2023:i:2:d:10.1007_s11749-023-00849-y.

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2023Determination of the effective cointegration rank in high-dimensional time-series predictive regressions. (2023). Fang, Puyi ; Tsay, Ruey S ; Gao, Zhaoxing. In: Papers. RePEc:arx:papers:2304.12134.

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2023A Two-Way Transformed Factor Model for Matrix-Variate Time Series. (2023). Tsay, Ruey S ; Gao, Zhaoxing. In: Econometrics and Statistics. RePEc:eee:ecosta:v:27:y:2023:i:c:p:83-101.

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2023Supervised kernel principal component analysis for forecasting. (2023). Tsay, Ruey S ; Gao, Zhaoxing ; Fang, Puyi. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323006645.

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2023Information rigidities in USDA crop production forecasts. (2023). Goyal, Raghav ; Adjemian, Michael K. In: American Journal of Agricultural Economics. RePEc:wly:ajagec:v:105:y:2023:i:5:p:1405-1425.

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2023Tree-based heterogeneous cascade ensemble model for credit scoring. (2023). Xia, Meng ; Fan, Hong ; Liu, Wanan. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1593-1614.

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2023Testing for Differences in Survey-Based Density Expectations: A Compositional Data Approach. (2023). Kenny, Geoff ; Glas, Alexander ; Dovern, Jonas. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10256.

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2023Testing for differences in survey-based density expectations: a compositional data approach. (2023). Kenny, Geoff ; Glas, Alexander ; Dovern, Jonas. In: Working Paper Series. RePEc:ecb:ecbwps:20232791.

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2023Testing for differences in survey-based density expectations: A compositional data approach. (2023). Kenny, Geoff ; Glas, Alexander ; Dovern, Jonas. In: Working Papers. RePEc:zbw:pp1859:39.

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2023Internal consistency of household inflation expectations: Point forecasts vs. density forecasts. (2023). Zhao, Yongchen. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1713-1735.

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2023Parameter-efficient deep probabilistic forecasting. (2023). de Rijke, Maarten ; Schelter, Sebastian ; Sprangers, Olivier. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:332-345.

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2023Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review. (2023). Biswal, Monalisa ; Abdelaziz, Almoataz Y ; Dewangan, Fanidhar. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1404-:d:1052682.

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2023An accurate and fully-automated ensemble model for weekly time series forecasting. (2023). Montero-Manso, Pablo ; Webb, Geoffrey I ; Bergmeir, Christoph ; Godahewa, Rakshitha. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:641-658.

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2023A Global Forecasting Approach to Large-Scale Crop Production Prediction with Time Series Transformers. (2023). Monterola, Christopher P ; Ibaez, Sebastian C. In: Agriculture. RePEc:gam:jagris:v:13:y:2023:i:9:p:1855-:d:1245105.

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2023Forecasting realized volatility in turbulent times using temporal fusion transformers. (2023). Frank, Johannes. In: FAU Discussion Papers in Economics. RePEc:zbw:iwqwdp:032023.

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2023Short-term residential household reactive power forecasting considering active power demand via deep Transformer sequence-to-sequence networks. (2023). Wu, Wanli ; Li, Shenglin ; Zhu, Jizhong ; Dong, Hanjiang ; Fan, Junwei. In: Applied Energy. RePEc:eee:appene:v:329:y:2023:i:c:s0306261922015380.

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2023Short-term electricity load forecasting—A systematic approach from system level to secondary substations. (2023). Francisco, Alexandre P ; Madeira, Sara C ; Pinheiro, Marco G. In: Applied Energy. RePEc:eee:appene:v:332:y:2023:i:c:s0306261922017500.

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2023Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures. (2023). Engelstad, Paal ; Stenbro, Roy ; Warakagoda, Narada Dilp ; Bentsen, Lars Odegaard. In: Applied Energy. RePEc:eee:appene:v:333:y:2023:i:c:s0306261922018220.

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2023Semi-supervised multivariate time series anomaly detection for wind turbines using generator SCADA data. (2023). Liu, Yong ; Chen, Yanan ; Wang, Dian ; Man, Junfeng ; Zheng, Minglei. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:235:y:2023:i:c:s0951832023001503.

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2023Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies. (2023). Zohren, Stefan ; Roberts, Stephen ; Liu, Tom. In: Papers. RePEc:arx:papers:2307.05522.

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2023Multi-Factor Inception: What to Do with All of These Features?. (2023). Zohren, Stefan ; Liu, Tom. In: Papers. RePEc:arx:papers:2307.13832.

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2023LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study. (2023). Cannistraci, Irene ; Coletta, Andrea ; Arrigoni, Viviana ; Berti, Leonardo ; Masi, Giuseppe ; Prata, Matteo ; Bartolini, Novella ; Velardi, Paola ; Vyetrenko, Svitlana. In: Papers. RePEc:arx:papers:2308.01915.

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2023Edge-Based Short-Term Energy Demand Prediction. (2023). Papageorgiou, Elpiniki I ; Lekidis, Alexios. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:14:p:5435-:d:1196042.

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2023On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles. (2023). Visentin, Andrea ; Carraro, Diego ; Rossi, Andrea ; Murray, Kate. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:10-209:d:1050336.

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2023A transformer-based deep neural network with wavelet transform for forecasting wind speed and wind energy. (2023). Moreira, Davidson M ; Sperandio, Erick Giovani. In: Energy. RePEc:eee:energy:v:278:y:2023:i:c:s0360544223010721.

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2023Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture. (2023). Nakanishi, Yosuke ; Liu, Jiang ; Zhou, Heng ; Zheng, Peijun. In: Applied Energy. RePEc:eee:appene:v:349:y:2023:i:c:s0306261923009716.

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2023A Comparison Study of Predictive Models for Electricity Demand in a Diverse Urban Environment. (2023). Lee, Christopher ; Li, Binbin ; Pesantez, Jorge E ; Stillwell, Ashlynn S ; Butala, Mark ; Zhao, Zhizhen. In: Energy. RePEc:eee:energy:v:283:y:2023:i:c:s0360544223025367.

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2023Forecasting daily tourism demand with multiple factors. (2023). Jin, Chun ; Liu, Yang ; Xu, Shilin. In: Annals of Tourism Research. RePEc:eee:anture:v:103:y:2023:i:c:s0160738323001482.

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2023Determinants of Uganda’s Debt Sustainability: The Public Debt Dynamics Model in Perspective. (2023). Katarangi, Asaph Kaburura ; Musiita, Benjamin ; Kijjambu, Frederick Nsambu ; Akampwera, Sheilla ; Kahangane, Geoffrey. In: Journal of Economics and Behavioral Studies. RePEc:rnd:arjebs:v:15:y:2023:i:4:p:106-124.

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2023Crude oil price prediction using deep reinforcement learning. (2023). Shu, Lingli ; Wang, Xia ; Li, Xiaoyan ; Luo, Peng ; Liang, Xuedong. In: Resources Policy. RePEc:eee:jrpoli:v:81:y:2023:i:c:s0301420723000715.

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2023Quantifying the international stock market risk spillover: An analysis based on G-expectation upper variances. (2023). Chen, Kaijie ; Tang, Zhenpeng ; Cai, YI ; Liu, Dinggao. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323007183.

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2023Bayesian optimization of multiscale kernel principal component analysis and its application to model Gas-to-liquid (GTL) process data. (2023). Malluhi, Byanne ; Fezai, Radhia ; Nounou, Mohamed ; Elbashir, Nimir ; Challiwala, Mohamed S ; Choudhury, Hanif A ; Ibrahim, Gasim ; Basha, Nour. In: Energy. RePEc:eee:energy:v:284:y:2023:i:c:s0360544223026154.

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2023Does the combination of models with different explanatory variables improve tourism demand forecasting performance?. (2023). Blake, Adam ; Wu, XI. In: Tourism Economics. RePEc:sae:toueco:v:29:y:2023:i:8:p:2032-2056.

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2023On the uncertainty of a combined forecast: The critical role of correlation. (2023). Vasnev, Andrey ; Magnus, Jan R. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1895-1908.

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2023Limited information limits accuracy: Whether ensemble empirical mode decomposition improves crude oil spot price prediction?. (2023). Wang, Weiqing ; Xu, Kunliang. In: International Review of Financial Analysis. RePEc:eee:finana:v:87:y:2023:i:c:s1057521923001412.

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2023Forecasting energy spot prices: A multiscale clustering recognition approach. (2023). Li, Ranran. In: Resources Policy. RePEc:eee:jrpoli:v:81:y:2023:i:c:s0301420723000284.

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2023Denoising or distortion: Does decomposition-reconstruction modeling paradigm provide a reliable prediction for crude oil price time series?. (2023). Niu, Hongli ; Xu, Kunliang. In: Energy Economics. RePEc:eee:eneeco:v:128:y:2023:i:c:s0140988323006278.

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2023Modelling intervals of minimum/maximum temperatures in the Iberian Peninsula. (2023). Ortega, Esther Ruiz ; Rodriguez, Carlos Vladimir ; Gonzalez-Rivera, Gloria. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:37968.

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2023Betting market efficiency and prediction in binary choice models. (2023). Zijm, Renske ; Koning, Ruud H. In: Annals of Operations Research. RePEc:spr:annopr:v:325:y:2023:i:1:d:10.1007_s10479-022-04722-3.

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2023Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball. (2023). Reade, James J ; de Angelis, Luca. In: Annals of Operations Research. RePEc:spr:annopr:v:325:y:2023:i:1:d:10.1007_s10479-022-04950-7.

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2023Gambling on Momentum in Contests. (2023). Singleton, Carl ; de Angelis, Luca ; Deutscher, Christian ; Otting, Marius. In: Economics Discussion Papers. RePEc:rdg:emxxdp:em-dp2023-08.

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2023Exploring Entertainment Utility from Football Games. (2023). Rossi, Giambattista ; Ramirez, Philip ; Rambaccussing, Dooruj ; Pawlowski, Tim. In: Economics Discussion Papers. RePEc:rdg:emxxdp:em-dp2023-13.

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2023What drives biased odds in sports betting markets: Bettors’ irrationality and the role of bookmakers. (2023). Yamada, Toru ; Goto, Shingo. In: International Review of Economics & Finance. RePEc:eee:reveco:v:86:y:2023:i:c:p:252-270.

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2023Forecasting the crude oil prices with an EMD-ISBM-FNN model. (2023). Wang, Donghua ; Zheng, Chunling ; Fang, Tianhui. In: Energy. RePEc:eee:energy:v:263:y:2023:i:pa:s0360544222022897.

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2023Crisis Index Prediction Based on Momentum Theory and Earnings Downside Risk Theory: Focusing on South Korea’s Energy Industry. (2023). Hong, Jongyi ; Kim, Hangook ; Park, Kyungbo ; Cha, Jeonghwa. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:5:p:2153-:d:1077630.

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2023A new hybrid deep learning model for monthly oil prices forecasting. (2023). Gong, XU ; Guan, Keqin. In: Energy Economics. RePEc:eee:eneeco:v:128:y:2023:i:c:s0140988323006345.

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2023Dual-meta pool method for wind farm power forecasting with small sample data. (2023). Wei, LU ; Li, Jianping ; Wang, Jujie ; Liu, Ling. In: Energy. RePEc:eee:energy:v:267:y:2023:i:c:s0360544222033904.

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2023Survey on Modeling of Temporally and Spatially Interdependent Uncertainties in Renewable Power Systems. (2023). Chen, Shi ; Zhou, YI ; Zang, Tianlei ; Qiu, Yiwei ; Zhu, Jie ; Luo, Huan ; Dai, Ningyi. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:16:p:5938-:d:1215242.

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2023Introducing digital tools for sustainable food supply management: Tackling food loss and waste in industrial canteens. (2023). Secondi, Luca ; Comis, Camilla ; Capoccia, Leonardo ; Ruini, Luca ; Barbanera, Marco ; Marchetti, Stefano ; Principato, Ludovica. In: Journal of Industrial Ecology. RePEc:bla:inecol:v:27:y:2023:i:4:p:1060-1075.

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2023Load Forecasting Techniques and Their Applications in Smart Grids. (2023). Fouda, Mostafa M ; Metwally, Khaled ; Mahmoud, Mohamed ; Habbak, Hany ; Ibrahem, Mohamed I. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1480-:d:1055616.

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2023Forecasting power demand in China with a CNN-LSTM model including multimodal information. (2023). Chen, Fan ; Mao, Jinqi ; Gan, Jun ; Wang, Delu ; Yu, Lan. In: Energy. RePEc:eee:energy:v:263:y:2023:i:pe:s0360544222028985.

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2023Green finance and the socio-politico-economic factors’ impact on the future oil prices: Evidence from machine learning. (2023). Jamaani, Fouad ; Mohsin, Muhammad. In: Resources Policy. RePEc:eee:jrpoli:v:85:y:2023:i:pa:s0301420723004919.

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2023ABC-based Forecasting in State Space Models. (2023). Frazier, David T ; Martin, Gael M ; Loaiza-Maya, Ruben ; Weerasinghe, Chaya. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2023-12.

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2023Optimal probabilistic forecasts for risk management. (2023). Martin, Gael M ; Loaiza-Maya, Ruben ; Maneesoonthorn, Worapree ; Sun, Yuru. In: Papers. RePEc:arx:papers:2303.01651.

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2023Co-volatility and asymmetric transmission of risks between the global oil and Chinas futures markets. (2023). Klein, Tony ; Ji, Qiang ; Marfatia, Hardik A ; Luo, Jiawen. In: Energy Economics. RePEc:eee:eneeco:v:117:y:2023:i:c:s0140988322005953.

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2023Volatility forecasting of crude oil futures market: Which structural change-based HAR models have better performance?. (2023). Zhang, Han. In: International Review of Financial Analysis. RePEc:eee:finana:v:85:y:2023:i:c:s1057521922004045.

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2023Does safe haven exist? Tail risks of commodity markets during COVID-19 pandemic. (2023). Stankov, Petar ; Mensi, Walid ; Enilov, Martin. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:29:y:2023:i:c:s2405851322000642.

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2023Chinese agricultural futures volatility: New insights from potential domestic and global predictors. (2023). Huang, Dengshi ; Su, Yuandong ; Lu, Xinjie. In: International Review of Financial Analysis. RePEc:eee:finana:v:89:y:2023:i:c:s1057521923003022.

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2023Financial Stress and Realized Volatility: The Case of Agricultural Commodities. (2023). Pierdzioch, Christian ; Gupta, Rangan ; Cepni, Oguzhan ; Bonato, Matteo. In: Working Papers. RePEc:pre:wpaper:202320.

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2023Examining the volatility of soybean market in the MIDAS framework: The importance of bagging-based weather information. (2023). Xu, Weiju ; Ma, Weichun ; Wu, Rui ; Wang, LU. In: International Review of Financial Analysis. RePEc:eee:finana:v:89:y:2023:i:c:s1057521923002363.

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2023
2023Tourism forecasting with granular sentiment analysis. (2023). Song, Haiyan ; Gao, Huicai ; Li, Hengyun. In: Annals of Tourism Research. RePEc:eee:anture:v:103:y:2023:i:c:s0160738323001408.

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2023Students assumptions of Entrepreneurs’ performance: The paradox of excess entry and missed opportunity. (2023). Mueller, Brandon A ; Valladares, Carlos D ; Gala, Kaushik. In: Journal of Business Venturing Insights. RePEc:eee:jobuve:v:20:y:2023:i:c:s2352673423000549.

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2023Representation and Hesitancy in Population Health Research: Evidence from a COVID-19 Antibody Study. (2023). Lacouture, Santiago ; Hortasu, Ali ; Greenstone, Michael ; Dutz, Deniz ; van Dijk, Winnie ; Torgovitsky, Alexander ; Shaikh, Azeem M ; Mogstad, Magne. In: NBER Working Papers. RePEc:nbr:nberwo:30880.

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2023Mathematical modelling and model validation of the heat losses in district heating networks. (2023). Kleme, Jii Jaromir ; Varbanov, Petar Sabev ; Suowicz, Maciej ; Nowak-Oco, Marzena ; Jakubek, Dariusz. In: Energy. RePEc:eee:energy:v:267:y:2023:i:c:s0360544222033461.

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2023Modeling COVID-19 Infection Rates by Regime-Switching Unobserved Components Models. (2023). Hartl, Tobias ; Haimerl, Paul. In: Econometrics. RePEc:gam:jecnmx:v:11:y:2023:i:2:p:10-:d:1115213.

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2023Dynamic time series modelling and forecasting of COVID-19 in Norway. (2023). Nymoen, Ragnar ; Brdsen, Gunnar. In: Working Paper Series. RePEc:nst:samfok:19623.

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2023
2023Do more stringent policies reduce daily COVID-19 case counts? Evidence from Canadian provinces. (2023). Lam, Jean-Paul ; Agarwal, Rishav Raj ; Zhang, Qihuang ; Baker, John David ; Sen, Anindya. In: Economic Analysis and Policy. RePEc:eee:ecanpo:v:78:y:2023:i:c:p:225-242.

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2023Dynamic time series modelling and forecasting of COVID-19 in Norway. (2023). Nymoen, Ragnar ; Brdsen, Gunnar. In: Memorandum. RePEc:hhs:osloec:2023_003.

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2023A neural network based model for multi-dimensional nonlinear Hawkes processes. (2023). Jain, Shashi ; Joseph, Sobin. In: Papers. RePEc:arx:papers:2303.03073.

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2023Approximation of Bayesian Hawkes process with inlabru. (2023). Naylor, Mark ; Lindgren, Finn ; Serafini, Francesco. In: Environmetrics. RePEc:wly:envmet:v:34:y:2023:i:5:n:e2798.

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2023.

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2023Nowcasting Economic Activity Using Electricity Market Data: The Case of Lithuania. (2023). Grybauskas, Andrius ; Bruneckiene, Jurgita ; Pilinkiene, Vaida ; Stundziene, Alina ; Lukauskas, Mantas. In: Economies. RePEc:gam:jecomi:v:11:y:2023:i:5:p:134-:d:1137785.

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2023The COVID-19 Pandemic Impact and Responses in Emerging Economies: Evidence from Vietnamese Firms. (2023). Hien, Nguyen Minh ; Quan, Truong Tan ; Hung, Pham Xuan ; Kien, Nguyen Duc. In: Economies. RePEc:gam:jecomi:v:11:y:2023:i:1:p:10-:d:1023493.

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2023.

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2023Economic impact of COVID-19 across national boundaries: The role of government responses. (2023). Senbet, Lemma W ; Megginson, William ; Knill, April ; Guedhami, Omrane. In: Journal of International Business Studies. RePEc:pal:jintbs:v:54:y:2023:i:7:d:10.1057_s41267-023-00612-3.

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2023
2023What is the role of perceived oil price shocks in inflation expectations?. (2023). Zheng, Xinye ; Sheng, Xuguang Simon ; An, Zidong. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004486.

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2023The impact of supply chain disruptions on business expectations during the pandemic. (2023). Meyer, Brent ; Prescott, Brian C ; Sheng, Xuguang Simon. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004498.

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2023Econometrics of Machine Learning Methods in Economic Forecasting. (2023). Striaukas, Jonas ; Ghysels, Eric ; Babii, Andrii. In: Papers. RePEc:arx:papers:2308.10993.

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2023Constructing Density Forecasts from Quantile Regressions: Multimodality in Macro-Financial Dynamics. (2022). Poon, Aubrey ; Mitchell, James ; Zhu, Dan. In: Working Papers. RePEc:fip:fedcwq:94160.

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2023Inflation expectations in the wake of the war in Ukraine. (2023). Schmidt, Tobias ; Cato, Misina ; Afunts, Geghetsik. In: Discussion Papers. RePEc:zbw:bubdps:032023.

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2023Inflation Expectations in the Wake of the War in Ukraine. (2023). Schmidt, Tobias ; Cato, Misina ; Afunts, Geghetsik. In: CERGE-EI Working Papers. RePEc:cer:papers:wp745.

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2023Revisiting vulnerable growth in the Euro Area: Identifying the role of financial conditions in the distribution. (2023). Varga, Katalin ; Szendrei, Tibor. In: Economics Letters. RePEc:eee:ecolet:v:223:y:2023:i:c:s0165176523000150.

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2023.

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2023.

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2023Mixed-frequency Growth-at-Risk with the MIDAS-QR method: Evidence from China. (2023). Jiang, Cuixia ; Xu, Mengnan ; Fu, Weizhong. In: Economic Systems. RePEc:eee:ecosys:v:47:y:2023:i:4:s0939362523000651.

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2023Global energy market connectedness and inflation at risk. (2023). Ye, Shiqi ; Gong, LU ; Zheng, Tingguo. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004735.

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2023The interplay among COVID-19 economic recovery, behavioural changes, and the European Green Deal: An energy-economic modelling perspective. (2023). le Mouel, Pierre ; Elia, Alessia ; Boitier, Baptiste ; Cassetti, Gabriele ; Chiodi, Alessandro ; Doukas, Haris ; Koasidis, Konstantinos ; Nikas, Alexandros ; Zagame, Paul ; Gargiulo, Maurizio. In: Energy. RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222026846.

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2023Thermo-economic analysis of a novel hydrogen production system using medical waste and biogas with zero carbon emission. (2023). Liu, Jun ; Zheng, Qiwei ; Chen, Heng ; Zhao, Xinyue ; Jiang, Xue ; Xu, Gang ; Pan, Peiyuan. In: Energy. RePEc:eee:energy:v:265:y:2023:i:c:s0360544222032194.

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2023A novel methanol-electricity cogeneration system based on the integration of water electrolysis and plasma waste gasification. (2023). Jiang, Xue ; Dong, Yuehong ; Xu, Gang ; Pan, Peiyuan ; Qiao, Shichao ; Chen, Heng ; Wang, Yuting. In: Energy. RePEc:eee:energy:v:267:y:2023:i:c:s036054422203376x.

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2023
2023Nowcasting employment in the euro area. (2023). Toth, Mate Barnabas ; Bodnar, Katalin ; Belousova, Irina ; Babura, Marta. In: Working Paper Series. RePEc:ecb:ecbwps:20232815.

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2023
2023A fully Bayesian tracking algorithm for mitigating disparate prediction misclassification. (2023). Mohler, George O ; Short, Martin B. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1238-1252.

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2023An end-to-end deep learning model for solving data-driven newsvendor problem with accessibility to textual review data. (2023). Zhang, Chuan ; Tian, Yu-Xin. In: International Journal of Production Economics. RePEc:eee:proeco:v:265:y:2023:i:c:s0925527323002487.

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2023Prediction of Micro- and Small-Sized Enterprise Default Risk Based on a Logistic Model: Evidence from a Bank of China. (2023). Lin, Deqin ; Zhao, Yuetong. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:5:p:4097-:d:1078607.

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2023Do decreases in Distance-to-Default predict rating downgrades?. (2023). Singh, Manish ; Aggarwal, Nidhi ; Thomas, Susan. In: Economic Modelling. RePEc:eee:ecmode:v:129:y:2023:i:c:s026499932300370x.

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2023Strong financial regulation and corporate bankruptcy risk in China. (2023). Nguyen, Duc Khuong ; Qin, YI ; Zhong, Kaiyang ; Cifuentes-Faura, Javier. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pb:s1544612323007158.

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2023Frontiers in microfinance research for small and medium enterprises (SMEs) and microfinance institutions (MFIs): a bibliometric analysis. (2023). Swebe, Adam Beni ; Lwesya, Francis. In: Future Business Journal. RePEc:spr:futbus:v:9:y:2023:i:1:d:10.1186_s43093-023-00195-3.

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2023Loss given default or default status: Which is better to determine farmers’ credit ratings?. (2023). Hua, Yiting ; Shi, Baofeng ; Chai, Nana. In: Finance Research Letters. RePEc:eee:finlet:v:53:y:2023:i:c:s154461232300048x.

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2023Joint model for longitudinal and spatio-temporal survival data. (2023). Lindgren, Finn ; Medina-Olivares, Victor ; Crook, Jonathan ; Calabrese, Raffaella. In: Papers. RePEc:arx:papers:2311.04008.

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2023The role of feature importance in predicting corporate financial distress in pre and post COVID periods: Evidence from China. (2023). Bellotti, Anthony Graham ; Cui, Tianxiang ; Ding, Shusheng ; Lucey, Brian ; Abedin, Mohammad Zoynul. In: International Review of Financial Analysis. RePEc:eee:finana:v:90:y:2023:i:c:s1057521923003678.

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2023Lethal and Sublethal Effects of an Essential Oil-Based Emulsion of Patchouli, Pogostemon cablin (Lamiaceae), on the Tomato Leafminer. (2023). Batista, Claudio Vieira ; Lima, Eraldo ; de Souza, Emilio ; Santos, Abrao Almeida ; Dos, Renata Cordeiro ; Costa, Thiago Leandro ; Picano, Marcelo Coutinho ; de Freitas, Damaris Rosa ; Bacci, Leandro. In: Agriculture. RePEc:gam:jagris:v:13:y:2023:i:8:p:1540-:d:1208767.

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2023Predicting financial distress of Chinese listed companies using machine learning: To what extent does textual disclosure matter?. (2023). Ji, Yucheng ; Xu, Weijun ; Zhao, QI. In: International Review of Financial Analysis. RePEc:eee:finana:v:89:y:2023:i:c:s1057521923002867.

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2023
2023Data-driven forecasting for operational planning of emergency medical services. (2023). Barbosa-Povoa, Ana ; Santos, Daniel ; Abreu, Paulo. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:86:y:2023:i:c:s0038012122002993.

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2023Analysis and forecast of donations at domestic hunger relief organizations impacted by natural disasters. (2023). Mendez, Francis A ; Marthak, Yash V ; Perez, Eduardo. In: Socio-Economic Planning Sciences. RePEc:eee:soceps:v:86:y:2023:i:c:s0038012122002713.

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2023Predicting Performances of Mutual Funds using Deep Learning and Ensemble Techniques. (2022). Tran, Hien ; Nguyen, Huy ; Pham, Nga ; Dao, Binh ; Chu, Nghia. In: Papers. RePEc:arx:papers:2209.09649.

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2023ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation. (2023). Janczura, Joanna ; Pu, Andrzej. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:2:p:807-:d:1031193.

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2023Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge. (2023). Bean, Richard. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1050-:d:1039403.

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2023Optimal competitive capacity strategies: Evidence from the container shipping market. (2023). de Koster, M. B. M, ; Zuidwijk, Rob ; Li, Xishu. In: Omega. RePEc:eee:jomega:v:115:y:2023:i:c:s0305048322001955.

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2023Comprehensive Review on Waste Generation Modeling. (2023). Szasziova, Lenka ; Roseck, Martin ; Smejkalova, Veronika ; Omplak, Radovan ; Pavlas, Martin ; Hrabec, Duan ; Nevrl, Vlastimir. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:4:p:3278-:d:1064709.

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2023How many fundamentals should we include in the behavioral equilibrium exchange rate model?. (2023). Rubaszek, Michał ; Ca, Michele. In: Economic Modelling. RePEc:eee:ecmode:v:118:y:2023:i:c:s026499932200308x.

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2023Digitalization in decarbonizing electricity systems – Phenomena, regional aspects, stakeholders, use cases, challenges and policy options. (2023). Verma, Piyush ; Covatariu, Andrei ; Milojevic, Tatjana ; Heymann, Fabian. In: Energy. RePEc:eee:energy:v:262:y:2023:i:pb:s0360544222024033.

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2023Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review. (2023). Almssad, Asaad ; Yitmen, Ibrahim ; Almusaed, Amjad. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:6:p:2636-:d:1094089.

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2023Statistical actuarial estimation of the Capitation Payment Unit from copula functions and deep learning: historical comparability analysis for the Colombian health system, 2015–2021. (2023). Martinez, Boris ; Ramos, Jeferson ; Bejarano, Valeria ; Espinosa, Oscar. In: Health Economics Review. RePEc:spr:hecrev:v:13:y:2023:i:1:d:10.1186_s13561-022-00416-5.

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2023Differential attention net: Multi-directed differential attention based hybrid deep learning model for solar power forecasting. (2023). Jana, Kartick C ; Shrivastava, Ashish ; Rai, Amit. In: Energy. RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222026329.

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2023Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices. (2023). Fiszeder, Piotr ; Molnar, Peter ; Fadziski, Marcin. In: Journal of Empirical Finance. RePEc:eee:empfin:v:70:y:2023:i:c:p:308-321.

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2023The artificial intelligence-assisted short-term optimal scheduling of a cascade hydro-photovoltaic complementary system with hybrid time steps. (2023). Kurban, Aynur ; He, YI ; Zheng, Kun ; Guo, SU. In: Renewable Energy. RePEc:eee:renene:v:202:y:2023:i:c:p:1169-1189.

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2023Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions. (2023). Ziel, Florian ; Ghelasi, Paul. In: Papers. RePEc:arx:papers:2305.16255.

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2023Bayesian VARs of the U.S. economy before and during the pandemic. (2023). Sznajderska, Anna ; Haug, Alfred A. In: Eurasian Economic Review. RePEc:spr:eurase:v:13:y:2023:i:2:d:10.1007_s40822-023-00229-9.

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2023Does demand forecasting matter to retailing?. (2023). Veiga, Claudimar Pereira ; Almeida, Wesley Marcos. In: Journal of Marketing Analytics. RePEc:pal:jmarka:v:11:y:2023:i:2:d:10.1057_s41270-022-00162-x.

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2023Arctic weather variability and connectivity. (2023). Kurths, Jurgen ; Bhatt, Uma S ; Fan, Jingfang ; Meng, Jun. In: Nature Communications. RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42351-x.

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2023Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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2023Volatility forecasting in the Bitcoin market: A new proposed measure based on the VS-ACARR approach. (2023). Iqbal, Najaf ; Umar, Zaghum ; Yin, Xuebao ; Wu, Xinyu. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:67:y:2023:i:c:s1062940823000712.

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2023Bayesian forecast combination using time-varying features. (2023). Li, Feng ; Kang, Yanfei. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1287-1302.

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2023Are lay expectations of inflation based on recall of specific prices? If so, how and under what conditions?. (2023). Harvey, Nigel ; Niu, Xiaoxiao. In: Journal of Economic Psychology. RePEc:eee:joepsy:v:98:y:2023:i:c:s0167487023000636.

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2023Evaluating store location and department composition based on spatial heterogeneity in sales potential. (2023). Elhorst, Paul J ; Hunneman, Auke. In: Journal of Retailing and Consumer Services. RePEc:eee:joreco:v:73:y:2023:i:c:s0969698923001029.

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2023Operational planning for public holidays in grocery retailing - managing the grocery retail rush. (2023). Kuhn, Heinrich ; Holzapfel, Andreas ; Obermair, Elisabeth. In: Operations Management Research. RePEc:spr:opmare:v:16:y:2023:i:2:d:10.1007_s12063-022-00342-z.

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2023Time Series Dataset Survey for Forecasting with Deep Learning. (2023). Meisen, Tobias ; Meyes, Richard ; Langer, Tristan ; Hahn, Yannik. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:1:p:17-335:d:1087297.

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2023Climate change attention and carbon futures return prediction. (2023). Sun, Chuanwang ; Guan, Keqin ; Li, Mengjie ; Gong, XU. In: Journal of Futures Markets. RePEc:wly:jfutmk:v:43:y:2023:i:9:p:1261-1288.

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2023Deep Policy Gradient Methods in Commodity Markets. (2023). Hanetho, Jonas. In: Papers. RePEc:arx:papers:2308.01910.

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2023Bombardier Aftermarket Demand Forecast with Machine Learning. (2023). Hamilton, William L ; Lemaitre, Paul ; Grangier, Philippe ; Gauthier, Lea ; Alamdari, Neda Etebari ; Adulyasak, Yossiri ; Xiao, Jingyi ; Dodin, Pierre. In: Interfaces. RePEc:inm:orinte:v:53:y:2023:i:6:p:425-445.

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2023Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy. (2023). Polak, Pawel ; Miao, Jiaju. In: Papers. RePEc:arx:papers:2304.09947.

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2023Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning. (2023). M. I. M. Wahab, ; Cevik, Mucahit ; Neghab, Davood Pirayesh. In: Papers. RePEc:arx:papers:2303.16149.

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2023Multivariate Simulation-based Forecasting for Intraday Power Markets: Modelling Cross-Product Price Effects. (2023). Ziel, Florian ; Hirsch, Simon. In: Papers. RePEc:arx:papers:2306.13419.

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2023Forecasting Bitcoin with technical analysis: A not-so-random forest?. (2023). Djakovic, Vladimir ; Adcock, Robert ; Kukolj, Dragan ; Gradojevic, Nikola. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:1-17.

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2023Does inclusion of GARCH variance in deep learning models improve financial contagion prediction?. (2023). Mangalagiri, Jayasree ; Rayadurgam, Vikram Chandramouli. In: Finance Research Letters. RePEc:eee:finlet:v:54:y:2023:i:c:s1544612323000818.

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2023Interactions between investors’ fear and greed sentiment and Bitcoin prices. (2023). Schweizer, Denis ; Sahut, Jean-Michel ; Nakhli, Mohamed Sahbi ; Gaies, Brahim. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:67:y:2023:i:c:s1062940823000475.

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2023On the Determinants of Bitcoin Returns and Volatility: What We Get from Gets?. (2023). el Montasser, Ghassen ; Messai, Ahlem Selma ; Benhamed, Adel. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:3:p:1761-:d:1038511.

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2023Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks. (2023). Sharma, Rakesh Kumar ; Tripathi, Bhaskar. In: Computational Economics. RePEc:kap:compec:v:62:y:2023:i:4:d:10.1007_s10614-022-10325-8.

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2023Time and frequency dynamic connectedness between cryptocurrencies and financial assets in China. (2023). Mo, Bin ; Li, Zhenghui ; Nie, HE. In: International Review of Economics & Finance. RePEc:eee:reveco:v:86:y:2023:i:c:p:46-57.

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2023.

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2023Explainable artificial intelligence modeling to forecast bitcoin prices. (2023). Nasir, Muhammad Ali ; Saadaoui, Foued ; ben Jabeur, Sami ; Goodell, John W. In: International Review of Financial Analysis. RePEc:eee:finana:v:88:y:2023:i:c:s1057521923002181.

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2023Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants. (2023). Martin-Barragan, Belen ; Andreeva, Galina ; Wang, Yijun. In: International Review of Financial Analysis. RePEc:eee:finana:v:90:y:2023:i:c:s1057521923004301.

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2023Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets. (2022). Magris, Martin ; Iosifidis, Alexandros ; Shabani, Mostafa. In: Papers. RePEc:arx:papers:2203.03613.

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2023Recent advances in intra-hour solar forecasting: A review of ground-based sky image methods. (2023). Wang, Jianxue ; Zhang, Yao ; Lin, Fan. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:244-265.

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2023Forecasting Short-term Water Demands with an Ensemble Deep Learning Model for a Water Supply System. (2023). Xu, Yue-Ping ; Zhang, Lu-Qi ; Zhou, Xin-Lei ; Liu, Jing. In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA). RePEc:spr:waterr:v:37:y:2023:i:8:d:10.1007_s11269-023-03471-7.

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2023Control of Operational Modes of an Urban Distribution Grid under Conditions of Uncertainty. (2023). Zicmane, Inga ; Beryozkina, Svetlana ; Senyuk, Mihail ; Matrenin, Pavel ; Safaraliev, Murodbek ; Onka, Zsolt ; Sidorov, Alexander ; Tavarov, Saidjon Shiralievich. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:8:p:3497-:d:1125598.

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2023.

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2023Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects. (2023). Semie, Addisu Gezahegn ; Chaka, Mesfin Diro ; Benti, Natei Ermias. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:9:p:7087-:d:1130894.

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2023An online-learning-enabled self-attention-based model for ultra-short-term wind power forecasting. (2023). Hu, Wenshan ; Liu, Guo-Ping ; Dai, Xiaoran. In: Energy. RePEc:eee:energy:v:272:y:2023:i:c:s0360544223005674.

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2023Residential energy consumption forecasting using deep learning models. (2023). Dias, Bruno H ; Silva, Walquiria N ; Villela, Saulo Moraes ; Vitor, Paulo. In: Applied Energy. RePEc:eee:appene:v:350:y:2023:i:c:s0306261923010693.

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2023A deep learning framework using multi-feature fusion recurrent neural networks for energy consumption forecasting. (2023). He, Bin ; Fang, Lei. In: Applied Energy. RePEc:eee:appene:v:348:y:2023:i:c:s0306261923009273.

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2023Daily peak electrical load forecasting with a multi-resolution approach. (2023). Yan, Hui ; Goude, Yannig ; Fasiolo, Matteo ; Amara-Ouali, Yvenn. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1272-1286.

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2023Conformal Prediction Bands for Two-Dimensional Functional Time Series. (2022). Vantini, Simone ; Fontana, Matteo ; Diquigiovanni, Jacopo ; Ajroldi, Niccolo. In: Papers. RePEc:arx:papers:2207.13656.

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2023From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2023). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Energy Economics. RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323001007.

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2023Conformal prediction bands for two-dimensional functional time series. (2023). Vantini, Simone ; Fontana, Matteo ; Diquigiovanni, Jacopo ; Ajroldi, Niccolo. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:187:y:2023:i:c:s0167947323001329.

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2023Beta autoregressive moving average model selection with application to modeling and forecasting stored hydroelectric energy. (2023). Bayer, Fabio M ; Scher, Vinicius T ; Cribari-Neto, Francisco. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:98-109.

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2023Climate Models Underestimate the Sensitivity of Arctic Sea Ice to Carbon Emissions. (2023). Rudebusch, Glenn ; Diebold, Francis X. In: Papers. RePEc:arx:papers:2307.03552.

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2023Assessing and comparing fixed-target forecasts of Arctic sea ice: Glide charts for feature-engineered linear regression and machine learning models. (2023). Coulombe, Philippe Goulet ; Gobel, Maximilian ; Diebold, Francis X. In: Energy Economics. RePEc:eee:eneeco:v:124:y:2023:i:c:s0140988323003316.

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2023Climate Models Underestimate the Sensitivity of Arctic Sea Ice to Carbon Emissions. (2023). Rudebusch, Glenn ; Diebold, Francis X. In: PIER Working Paper Archive. RePEc:pen:papers:24-010.

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2023Climate models underestimate the sensitivity of Arctic sea ice to carbon emissions. (2023). Rudebusch, Glenn ; Diebold, Francis X. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323005108.

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2023FuNVol: A Multi-Asset Implied Volatility Market Simulator using Functional Principal Components and Neural SDEs. (2023). Bergeron, Maxime ; Jaimungal, Sebastian ; Choudhary, Vedant. In: Papers. RePEc:arx:papers:2303.00859.

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2023Do stochastic risks flow between industrial and precious metals, Islamic stocks, green bonds, green stocks, clean investments, major foreign exchange rates, and Bitcoin?. (2023). Rashidi, Muhammad Mahdi ; Raheem, Ibrahim D ; Asl, Mahdi Ghaemi. In: Resources Policy. RePEc:eee:jrpoli:v:86:y:2023:i:pa:s0301420723008978.

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2023Sparse Warcasting. (2023). Constantinescu, Mihnea. In: Working Papers. RePEc:ukb:wpaper:01/2023.

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2023Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective. (2023). Zhu, Xiaoqian ; Huang, Chuangxia ; Li, Jianping ; Wen, Shigang. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:88:y:2023:i:c:p:190-202.

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2023Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach. (2023). Hao, Jun ; Li, Jianping ; Yang, Xian ; Zhang, XU. In: Journal of Futures Markets. RePEc:wly:jfutmk:v:43:y:2023:i:6:p:705-733.

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2023Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective. (2023). Feng, Yuyao ; Li, Jingyu ; Jing, Zhongbo. In: Economic Modelling. RePEc:eee:ecmode:v:128:y:2023:i:c:s0264999323002808.

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2023Tail risk in the Chinese stock market: An AEV model on the maximal drawdowns. (2023). Song, Yuping ; Hou, Weijie ; Feng, Yun. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323006669.

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2023Forecasting the Return of Carbon Price in the Chinese Market Based on an Improved Stacking Ensemble Algorithm. (2023). Siddik, Abu Bakkar ; Li, Yong ; Ye, Peng. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:11:p:4520-:d:1163782.

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2023A novel reconciliation approach for hierarchical electricity consumption forecasting based on resistant regression. (2023). Cyrino, Fernando Luiz ; Lila, Mauricio Franca ; Meira, Erick. In: Energy. RePEc:eee:energy:v:269:y:2023:i:c:s0360544223001883.

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2023Forecast Selection and Representativeness. (2023). Siemsen, Enno ; Petropoulos, Fotios. In: Management Science. RePEc:inm:ormnsc:v:69:y:2023:i:5:p:2672-2690.

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2023fETSmcs: Feature-based ETS model component selection. (2023). Jia, Suling ; Wang, Qiang ; Li, Xixi ; Qi, Lingzhi. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1303-1317.

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2023Shrinkage estimator for exponential smoothing models. (2023). Kourentzes, Nikolaos ; Svetunkov, Ivan ; Pritularga, Kandrika F. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1351-1365.

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2023
2023Forecasting crude oil price returns: Can nonlinearity help?. (2023). Wang, Yudong ; Wen, Danyan ; He, Mengxi ; Zhang, Yaojie. In: Energy. RePEc:eee:energy:v:262:y:2023:i:pb:s0360544222024756.

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2023Nowcasting with signature methods. (2023). Mantoan, Giulia ; Malpass, Will ; Lui, Silvia ; Cohen, Samuel N ; Yang, Lingyi ; Small, Emma ; Scott, Craig ; Reeves, Andrew ; Nesheim, Lars. In: Papers. RePEc:arx:papers:2305.10256.

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2023Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms. (2023). Xu, Hao ; Ni, HE ; Zhang, Qin. In: Economic Modelling. RePEc:eee:ecmode:v:122:y:2023:i:c:s0264999323000160.

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2023Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM). (2023). Mundle, Sudipto ; Bhandari, Bornali ; Bhattacharya, Rudrani. In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:21:y:2023:i:1:d:10.1007_s40953-022-00335-6.

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2023Forecasting global stock market volatilities in an uncertain world. (2023). Zhang, Ting ; Wang, Gang-Jin ; Zeng, Zhi-Jian ; Xie, Chi ; Li, Zhao-Chen. In: International Review of Financial Analysis. RePEc:eee:finana:v:85:y:2023:i:c:s1057521922004136.

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2023Assessing the Credit Risk of Crypto-Assets Using Daily Range Volatility Models. (2023). Fantazzini, Dean. In: MPRA Paper. RePEc:pra:mprapa:117141.

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2023
2023Did real economic uncertainty drive risk connectedness in the oil–stock nexus during the COVID-19 outbreak? A partial wavelet coherence analysis. (2023). Maghyereh, Aktham ; Al-Shboul, Mohammad. In: Journal of Economic Structures. RePEc:spr:jecstr:v:12:y:2023:i:1:d:10.1186_s40008-023-00306-x.

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2023The contribution of realized covariance models to the economic value of volatility timing. (2023). Bauwens, Luc ; Xu, Yongdeng. In: LIDAM Discussion Papers CORE. RePEc:cor:louvco:2023018.

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2023Forecasting realized volatility with machine learning: Panel data perspective. (2023). Liu, Zhi ; He, Lidan ; Bai, LU ; Zhu, Haibin. In: Journal of Empirical Finance. RePEc:eee:empfin:v:73:y:2023:i:c:p:251-271.

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2023Jumps in the Chinese crude oil futures volatility forecasting: New evidence. (2023). Wu, Hanlin ; Li, Pan ; Guo, Yangli. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s014098832300453x.

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2023Bayesian modeling of spatial integer-valued time series. (2023). Hsiung, Mo-Hua ; Chen, Chun-Shu. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:188:y:2023:i:c:s016794732300138x.

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2023
2023Coarsened Bayesian VARs -- Correcting BVARs for Incorrect Specification. (2023). Marcellino, Massimiliano ; Huber, Florian. In: Papers. RePEc:arx:papers:2304.07856.

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2023Climate uncertainty impacts on optimal mitigation pathways and social cost of carbon. (2023). Folini, Doris ; Yang, PU ; al Khourdajie, Alaa ; Smith, Christopher J. In: Papers. RePEc:arx:papers:2304.08957.

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2023Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?. (2023). Weron, Rafal ; Nitka, Weronika. In: Papers. RePEc:arx:papers:2308.15443.

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2023BVARs and Stochastic Volatility. (2023). Chan, Joshua. In: Papers. RePEc:arx:papers:2310.14438.

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2023Predictive Density Combination Using a Tree-Based Synthesis Function. (2023). Huber, Florian ; Chernis, Tony ; Mitchell, James ; Koop, Gary ; Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2311.12671.

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2023Quarterly GDP Estimates for the German States: New Data for Business Cycle Analyses and Long-Run Dynamics. (2023). Lehmann, Robert ; Wikman, Ida. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10280.

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2023READ-GER: Introducing German Real-Time Regional Accounts Data for Revision Analysis and Nowcasting. (2023). Lehmann, Robert. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10315.

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2023ROC and PRC Approaches to Evaluate Recession Forecasts. (2023). Lahiri, Kajal ; Yang, Cheng. In: CESifo Working Paper Series. RePEc:ces:ceswps:_10449.

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2023Realized Covariance Models with Time-varying Parameters and Spillover Effects. (2023). Bauwens, Luc ; Otranto, Edoardo. In: LIDAM Discussion Papers CORE. RePEc:cor:louvco:2023019.

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2023The role of data and priors in estimating climate sensitivity. (2023). Vasnev, Andrey ; Ikefuji, Masako ; Magnus, Jan. In: ISER Discussion Paper. RePEc:dpr:wpaper:1217.

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2023Digitalisation and the economy. (2023). Strasser, Georg ; Paz-Pardo, Gonzalo ; Ehrmann, Michael ; Dedola, Luca ; Slacalek, Jiri ; Lamo, Ana ; Hoffmann, Peter. In: Working Paper Series. RePEc:ecb:ecbwps:20232809.

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2023Nowcasting employment in the euro area. (2023). Toth, Mate Barnabas ; Bodnar, Katalin ; Belousova, Irina ; Babura, Marta. In: Working Paper Series. RePEc:ecb:ecbwps:20232815.

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2023Comparing global and regional downscaled NWP models for irradiance and photovoltaic power forecasting: ECMWF versus AROME. (2023). Yang, Dazhi ; Mayer, Martin Janos ; Szintai, Balazs. In: Applied Energy. RePEc:eee:appene:v:352:y:2023:i:c:s0306261923013223.

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2023Improving box office projections through sentiment analysis: Insights from regularization-based forecast combinations. (2023). Qiu, Yue ; Zheng, Yuchen. In: Economic Modelling. RePEc:eee:ecmode:v:125:y:2023:i:c:s026499932300161x.

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2023Score-driven models for realized volatility. (2023). Palumbo, Dario ; Harvey, Andrew. In: Journal of Econometrics. RePEc:eee:econom:v:237:y:2023:i:2:s0304407623001422.

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2023Modelling credit card exposure at default using vine copula quantile regression. (2023). So, Mee Chi ; Choudhry, Taufiq ; Okhrati, Ramin ; Mues, Christophe ; Wattanawongwan, Suttisak. In: European Journal of Operational Research. RePEc:eee:ejores:v:311:y:2023:i:1:p:387-399.

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2023Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network. (2023). ben Jabeur, Sami ; Saadaoui, Foued. In: Energy Economics. RePEc:eee:eneeco:v:124:y:2023:i:c:s0140988323002918.

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2023Distributional neural networks for electricity price forecasting. (2023). Weron, Rafał ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419.

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2023The predictive effect of risk aversion on oil returns under different market conditions. (2023). Wang, Yudong ; Xiao, Jihong ; Wen, Danyan. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s014098832300467x.

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2023Combination forecasts of Chinas oil futures returns based on multiple uncertainties and their connectedness with oil. (2023). Li, Xiafei ; Wei, YU ; Shi, Chunpei ; Liu, Yuntong. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323005352.

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2023Evidence of the internationalization of Chinas crude oil futures: Asymmetric linkages to global financial risks. (2023). Guo, Songlin ; Zhang, Jiaming ; Xie, Bingyuan ; Dou, Bin. In: Energy Economics. RePEc:eee:eneeco:v:127:y:2023:i:pa:s0140988323005819.

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2023The forecast ability of a belief-based momentum indicator in full-day, daytime, and nighttime volatilities of Chinese oil futures. (2023). Huynh, Luu Duc Toan ; Li, Yan ; Liang, Hao ; Xu, Yongan. In: Energy Economics. RePEc:eee:eneeco:v:127:y:2023:i:pb:s0140988323005625.

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2023Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks. (2023). Ravazzolo, Francesco ; Fezzi, Carlo ; Behmiri, Niaz Bashiri. In: Energy. RePEc:eee:energy:v:278:y:2023:i:c:s0360544223012252.

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2023Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model. (2023). Li, Lihong ; Zhang, LI. In: International Review of Financial Analysis. RePEc:eee:finana:v:88:y:2023:i:c:s1057521923002247.

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2023Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants. (2023). Martin-Barragan, Belen ; Andreeva, Galina ; Wang, Yijun. In: International Review of Financial Analysis. RePEc:eee:finana:v:90:y:2023:i:c:s1057521923004301.

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2023The Chinese equity premium predictability: Evidence from a long historical data. (2023). Cao, Jiawei ; Ma, Feng. In: Finance Research Letters. RePEc:eee:finlet:v:53:y:2023:i:c:s1544612323000429.

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2023
2023Climate risk exposure and the cross-section of Chinese stock returns. (2023). Wang, Yudong ; Liao, Cunfei ; He, Mengxi ; Zhang, Yaojie. In: Finance Research Letters. RePEc:eee:finlet:v:55:y:2023:i:pb:s1544612323003598.

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2023The Chinese oil futures volatility: Evidence from high-low estimator information. (2023). Song, Juan ; Wang, Yubao ; Huang, Xiaozhou. In: Finance Research Letters. RePEc:eee:finlet:v:56:y:2023:i:c:s1544612323004804.

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2023Attention! Predicting crude oil prices from the perspective of extreme weather. (2023). Duong, Duy ; Xu, Yongan. In: Finance Research Letters. RePEc:eee:finlet:v:57:y:2023:i:c:s1544612323005627.

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2023Tail risk in the Chinese stock market: An AEV model on the maximal drawdowns. (2023). Song, Yuping ; Hou, Weijie ; Feng, Yun. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323006669.

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2023Predicting cryptocurrency returns for real-world investments: A daily updated and accessible predictor. (2023). Zhang, Yaojie ; Shen, Lihua. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pa:s154461232300778x.

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2023Does climate risk matter for gold price volatility?. (2023). Zhang, Junchao ; Zhu, Jiaji. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pc:s1544612323009169.

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2023Do short-term market swings improve realized volatility forecasts?. (2023). Zhang, Jin E ; Ruan, Xinfeng. In: Finance Research Letters. RePEc:eee:finlet:v:58:y:2023:i:pd:s1544612323010012.

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2023Forecasting, causality and feedback. (2023). Hyndman, Rob J. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:558-560.

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2023Testing big data in a big crisis: Nowcasting under Covid-19. (2023). Ratto, Marco ; Pericoli, Filippo Maria ; Barbaglia, Luca ; Pezzoli, Luca Tiozzo ; Onorante, Luca ; Frattarolo, Lorenzo. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1548-1563.

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2023Stock markets from COVID-19 to the Russia–Ukraine crisis: Structural breaks in interactive effects panels. (2023). Jeribi, Ahmed ; Karamti, Chiraz. In: The Journal of Economic Asymmetries. RePEc:eee:joecas:v:28:y:2023:i:c:s170349492300052x.

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2023An improved SSA-BiLSTM-based short-term irradiance prediction model via sky images feature extraction. (2023). Liu, Yao ; Ma, Lin ; Xie, Qiyue ; Wang, Xiaoli ; Shen, Zhongli ; Fu, Qiang. In: Renewable Energy. RePEc:eee:renene:v:219:y:2023:i:p2:s0960148123014222.

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2023The FOMC versus the Staff: Do Policymakers Add Value in Their Tales?. (2023). Nguyen, My T ; Mitchell, James ; Filippou, Ilias. In: Working Papers. RePEc:fip:fedcwq:96636.

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2023Predictive Density Combination Using a Tree-Based Synthesis Function. (2023). Mitchell, James ; Koop, Gary ; Huber, Florian ; Hauzenberger, Niko ; Chernis, Tony. In: Working Papers. RePEc:fip:fedcwq:97343.

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2023Nowcasting Economic Activity Using Electricity Market Data: The Case of Lithuania. (2023). Grybauskas, Andrius ; Bruneckiene, Jurgita ; Pilinkiene, Vaida ; Stundziene, Alina ; Lukauskas, Mantas. In: Economies. RePEc:gam:jecomi:v:11:y:2023:i:5:p:134-:d:1137785.

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2023Calibration of GFS Solar Irradiation Forecasts: A Case Study in Romania. (2023). Paulescu, Marius ; Stefu, Nicoleta ; Hategan, Sergiu-Mihai. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:11:p:4290-:d:1154340.

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2023Performance Enhancement of Grid-Connected Renewable Energy Systems Using UPFC. (2023). Abdelhadi, H A ; Mosaad, Mohamed I ; Salama, M M ; Abed, Osama M. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:11:p:4362-:d:1157262.

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2023A Review of Solar Power Scenario Generation Methods with Focus on Weather Classifications, Temporal Horizons, and Deep Generative Models. (2023). Georgilakis, Pavlos S ; Catthoor, Francky ; Bazionis, Ioannis K ; Kousounadis-Knousen, Markos A. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:15:p:5600-:d:1202094.

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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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2022A Market for Trading Forecasts: A Wagering Mechanism. (2022). Grammatico, Sergio ; Kazempour, Jalal ; Pinson, Pierre ; Raja, Aitazaz Ali. In: Papers. RePEc:arx:papers:2205.02668.

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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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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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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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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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