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Citation Profile [Updated: 2020-11-03 07:59:29]
5 Years H
70
Impact Factor
1.28
5 Years IF
1.14
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 0.09 0.13 0.02 75 75 464 10 10 186 362 6 0 4 0.05 0.04
1991 0.02 0.08 0.11 0.02 62 137 325 15 25 172 3 398 9 0 0 0.04
1992 0.04 0.09 0.07 0.03 90 227 985 16 42 137 5 383 13 0 0 0.04
1993 0.03 0.11 0.07 0.02 79 306 583 20 63 152 4 413 9 0 0 0.05
1994 0.02 0.12 0.07 0.04 70 376 425 24 88 169 3 403 17 0 2 0.03 0.06
1995 0.07 0.2 0.25 0.1 61 437 481 108 197 149 11 376 37 63 58.3 7 0.11 0.09
1996 0.14 0.23 0.35 0.15 65 502 381 175 375 131 18 362 55 91 52 2 0.03 0.11
1997 0.09 0.23 0.25 0.14 67 569 1347 142 518 126 11 365 50 54 38 11 0.16 0.1
1998 0.1 0.27 0.35 0.15 35 604 728 206 727 132 13 342 50 63 30.6 1 0.03 0.13
1999 0.27 0.29 0.47 0.21 39 643 586 300 1028 102 28 298 63 60 20 6 0.15 0.14
2000 0.41 0.34 0.36 0.27 59 702 1131 254 1284 74 30 267 71 80 31.5 6 0.1 0.15
2001 0.28 0.36 0.34 0.29 45 747 508 249 1537 98 27 265 76 70 28.1 14 0.31 0.16
2002 0.3 0.4 0.37 0.38 58 805 562 299 1838 104 31 245 93 86 28.8 33 0.57 0.21
2003 0.48 0.41 0.57 0.47 81 886 812 481 2339 103 49 236 110 149 31 15 0.19 0.2
2004 0.42 0.46 0.54 0.46 69 955 1280 504 2851 139 58 282 129 94 18.7 25 0.36 0.2
2005 0.46 0.47 0.81 0.5 67 1022 1283 822 3674 150 69 312 157 105 12.8 23 0.34 0.22
2006 0.68 0.47 0.94 0.53 63 1085 1483 1014 4694 136 93 320 169 488 48.1 20 0.32 0.21
2007 0.81 0.43 0.7 0.56 63 1148 848 803 5498 130 105 338 188 139 17.3 36 0.57 0.19
2008 1.08 0.45 0.77 0.8 64 1212 1246 929 6433 126 136 343 276 141 15.2 43 0.67 0.21
2009 0.84 0.44 0.74 0.84 72 1284 1018 934 7377 127 107 326 274 105 11.2 38 0.53 0.21
2010 0.95 0.44 0.77 0.85 75 1359 745 1028 8417 136 129 329 280 135 13.1 13 0.17 0.18
2011 1.01 0.47 1.03 1 148 1507 1119 1545 9975 147 148 337 337 442 28.6 125 0.84 0.21
2012 0.64 0.47 0.86 0.78 64 1571 1242 1346 11330 223 142 422 329 95 7.1 31 0.48 0.19
2013 0.83 0.53 0.97 0.91 56 1627 697 1566 12907 212 176 423 385 186 11.9 38 0.68 0.22
2014 1.68 0.54 1.16 1.17 77 1704 1368 1977 14886 120 202 415 486 188 9.5 87 1.13 0.21
2015 1.81 0.54 1.18 1.12 81 1785 663 2108 16998 133 241 420 470 239 11.3 73 0.9 0.21
2016 1.77 0.54 1.32 1.32 102 1887 818 2481 19484 158 280 426 561 328 13.2 126 1.24 0.19
2017 1.38 0.55 1.21 1.56 76 1963 435 2382 21869 183 252 380 591 276 11.6 44 0.58 0.2
2018 1.56 0.64 1.24 1.45 52 2015 262 2487 24375 178 278 392 569 155 6.2 31 0.6 0.25
2019 1.79 0.74 1.51 1.67 128 2143 225 3236 27614 128 229 388 647 484 15 76 0.59 0.27
2020 1.28 0.84 1.15 1.14 98 2241 44 2578 30192 180 231 439 500 412 16 56 0.57 0.28
IF: Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for series in RePEc in year y
CIF: Cumulative impact factor
IF5: 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
11997Testing 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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861
22012Better 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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704
31989Combining 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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555
41992Modeling 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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349
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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345
62000The 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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309
71998Forecasting 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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288
82014Electricity 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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219
91992Error 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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205
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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202
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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179
121995Forecasting 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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168
132007Combining 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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160
142004Bridge 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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154
152005Macro 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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145
162008Real-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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143
171999The 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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140
182005Forecasting 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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136
192006Modelling 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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136
202008Forecasting 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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134
212014Evaluating 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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126
222006Judgmental 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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123
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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120
242008The 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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118
251993Earnings 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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111
262011MIDAS 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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109
272000Out-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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109
282011MIDAS 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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105
292009Effective 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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105
302004Efficient 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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104
312009Forecasting 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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103
322008Forecasting 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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103
331992The 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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100
342013Combining 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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98
351993Reply 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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97
362001How 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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95
372016Probabilistic 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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95
381993Comments on Earnings forecasting research: its implications for capital markets research by L. Brown. (1993). Brown, Philip. In: International Journal of Forecasting. RePEc:eee:intfor:v:9:y:1993:i:3:p:331-335.

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95
391997Shorte-run forecasts of electricity loads and peaks. (1997). Vahid, Farshid ; Granger, Clive ; Engle, Robert ; Brace, Casey ; Ramanathan, Ramu . In: International Journal of Forecasting. RePEc:eee:intfor:v:13:y:1997:i:2:p:161-174.

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94
402009Forecasting 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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93
411987Cointegration and models of exchange rate determination. (1987). Selover, David ; Baillie, Richard. In: International Journal of Forecasting. RePEc:eee:intfor:v:3:y:1987:i:1:p:43-51.

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91
422011Calling recessions in real time. (2011). Hamilton, James. In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y:2011:i:4:p:1006-1026.

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90
432016Probabilistic 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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89
441997Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models. (1997). White, Halbert ; Swanson, Norman. In: International Journal of Forecasting. RePEc:eee:intfor:v:13:y:1997:i:4:p:439-461.

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87
452009Forecasting S&P 500 volatility: Long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements. (2009). van Dijk, Dick ; De Pooter, Michiel ; Martens, Martin . In: International Journal of Forecasting. RePEc:eee:intfor:v:25:y:2009:i:2:p:282-303.

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84
462005The 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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84
472003Tourism forecasting: accuracy of alternative econometric models. (2003). Song, Haiyan ; Jensen, Thomas ; Witt, Stephen F.. In: International Journal of Forecasting. RePEc:eee:intfor:v:19:y:2003:i:1:p:123-141.

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83
482000A 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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83
492011Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7. (2011). Dovern, Jonas ; Weisser, Johannes . In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y::i:2:p:452-465.

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82
502005Forecasting euro area inflation: Does aggregating forecasts by HICP component improve forecast accuracy?. (2005). Hubrich, Kirstin. In: International Journal of Forecasting. RePEc:eee:intfor:v:21:y:2005:i:1:p:119-136.

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82
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12012Better to give than to receive: Predictive directional measurement of volatility spillovers. (2012). Yilmaz, Kamil ; Diebold, Francis. In: International Journal of Forecasting. RePEc:eee:intfor:v:28:y:2012:i:1:p:57-66.

Full description at Econpapers || Download paper

267
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.

Full description at Econpapers || Download paper

117
32006Another 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

108
42014Electricity price forecasting: A review of the state-of-the-art with a look into the future. (2014). Weron, Rafał. In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:4:p:1030-1081.

Full description at Econpapers || Download paper

84
51992Modeling and forecasting US sex differentials in mortality. (1992). Lee, Ronald ; Carter, Lawrence R.. In: International Journal of Forecasting. RePEc:eee:intfor:v:8:y:1992:i:3:p:393-411.

Full description at Econpapers || Download paper

57
62016Probabilistic electric load forecasting: A tutorial review. (2016). Hong, Tao ; Fan, Shu . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:914-938.

Full description at Econpapers || Download paper

53
72000The M3-Competition: results, conclusions and implications. (2000). Hibon, Michele ; Makridakis, Spyros. In: International Journal of Forecasting. RePEc:eee:intfor:v:16:y:2000:i:4:p:451-476.

Full description at Econpapers || Download paper

52
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.

Full description at Econpapers || Download paper

51
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.

Full description at Econpapers || Download paper

51
102014Evaluating 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.

Full description at Econpapers || Download paper

47
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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37
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.

Full description at Econpapers || Download paper

36
132010Comparing 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
142003Tourism forecasting: accuracy of alternative econometric models. (2003). Song, Haiyan ; Jensen, Thomas ; Witt, Stephen F.. In: International Journal of Forecasting. RePEc:eee:intfor:v:19:y:2003:i:1:p:123-141.

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34
152017The 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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33
162011Forecasting 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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31
171999The 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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31
182016Probabilistic 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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31
192003Univariate versus multivariate time series forecasting: an application to international tourism demand. (2003). du Preez, Johann ; Witt, Stephen F.. In: International Journal of Forecasting. RePEc:eee:intfor:v:19:y:2003:i:3:p:435-451.

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29
202008Forecasting 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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28
211995Forecasting 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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27
222007Combining density forecasts. (2007). Mitchell, James ; Hall, Stephen. In: International Journal of Forecasting. RePEc:eee:intfor:v:23:y:2007:i:1:p:1-13.

Full description at Econpapers || Download paper

26
232000Out-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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25
242018The 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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24
252015Conditional 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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24
262009Effective 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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23
272011MIDAS 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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282011The tourism forecasting competition. (2011). Song, Haiyan ; Hyndman, Rob ; Athanasopoulos, George ; Wu, Doris C.. In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y:2011:i:3:p:822-844.

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292006Modelling 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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302000The 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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312011MIDAS 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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32200625 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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332011The tourism forecasting competition. (2011). Song, Haiyan ; Hyndman, Rob ; Athanasopoulos, George ; Wu, Doris C.. In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y::i:3:p:822-844.

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342013Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts. (2013). Davydenko, Andrey ; Fildes, Robert. In: International Journal of Forecasting. RePEc:eee:intfor:v:29:y:2013:i:3:p:510-522.

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352014Improving forecasting by estimating time series structural components across multiple frequencies. (2014). Petropoulos, Fotios ; Kourentzes, Nikolaos ; Trapero, Juan R.. In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:2:p:291-302.

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362018Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods. (2018). Kim, Hyun Hak ; Swanson, Norman R. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:2:p:339-354.

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372011Quantiles as optimal point forecasts. (2011). Gneiting, Tilmann . In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y::i:2:p:197-207.

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382005Forecasting 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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392016Frontiers in VaR forecasting and backtesting. (2016). Ruiz, Esther ; Nieto, Maria Rosa . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:2:p:475-501.

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402011Quantiles as optimal point forecasts. (2011). Gneiting, Tilmann . In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y:2011:i:2:p:197-207.

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412014Forecasting commodity price indexes using macroeconomic and financial predictors. (2014). Timmermann, Allan ; Gargano, Antonio . In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:3:p:825-843.

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422016The 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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432005Odds-setters as forecasters: The case of English football. (2005). Simmons, Robert ; Goddard, John ; Forrest, David. In: International Journal of Forecasting. RePEc:eee:intfor:v:21:y:2005:i:3:p:551-564.

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442019Understanding 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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452005The 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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462016What predicts US recessions?. (2016). Moench, Emanuel ; Liu, Weiling . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:4:p:1138-1150.

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

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482006A comparison of univariate methods for forecasting electricity demand up to a day ahead. (2006). McSharry, Patrick ; Taylor, James W. ; de Menezes, Lilian M.. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:1:p:1-16.

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492008The 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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502005Macro 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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Citing documents used to compute impact factor: 231
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2020Money Talks: Team Variables and Player Positions that Most Influence the Market Value of Professional Male Footballers in Europe. (2020). Fernandez-Luna, Alvaro ; Felipe, Jose Luis ; Garcia-Unanue, Jorge ; Sanchez-Sanchez, Javier ; de la Riva, Luis Eduardo ; Burillo, Pablo. In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:9:p:3709-:d:353693.

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2020Application of functional deep belief network for estimating daily global solar radiation: A case study in China. (2020). Zang, Haixiang ; Sun, Guoqiang ; Wei, Zhinong ; Wang, Miaomiao ; Cheung, Kwok W ; Ding, Tao ; Cheng, Lilin. In: Energy. RePEc:eee:energy:v:191:y:2020:i:c:s0360544219321978.

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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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2020Deus ex Machina? A Framework for Macro Forecasting with Machine Learning. (2020). Rayner, Brett ; Bolhuis, Marijn A. In: IMF Working Papers. RePEc:imf:imfwpa:20/45.

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2020Deus ex Machina? A Framework for Macro Forecasting with Machine Learning. (2020). Bolhuis, Marijn ; Rayner, Brett. In: IMF Working Papers. RePEc:imf:imfwpa:2020/045.

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2020A vanishing moment ensemble model for wind speed multi-step prediction with multi-objective base model selection. (2020). Duan, Zhu ; Liu, Hui. In: Applied Energy. RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320549.

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2020The risk spillovers from the Chinese stock market to major East Asian stock markets: A MSGARCH-EVT-copula approach. (2020). Xiao, Yang. In: International Review of Economics & Finance. RePEc:eee:reveco:v:65:y:2020:i:c:p:173-186.

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2020Do Tense Geopolitical Factors Drive Crude Oil Prices?. (2020). Albitar, Khaldoon ; Zhong, Junhao ; Huang, Zhehao ; Li, Fen. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:16:p:4277-:d:400712.

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2020Impawn rate optimisation in inventory financing: A canonical vine copula-based approach. (2020). Xu, Fangming ; Wang, Xiaojun ; Zhi, Bangdong. In: International Journal of Production Economics. RePEc:eee:proeco:v:227:y:2020:i:c:s0925527320300542.

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2020Asymmetric effects of oil price uncertainty on corporate investment. (2020). Abdoh, Hussein ; Maghyereh, Aktham. In: Energy Economics. RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988319304190.

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2020Forecasting volatility in the petroleum futures markets: A re-examination and extension. (2020). Shaiban, Mohammed Sharaf ; Hasanov, Akram Shavkatovich ; Al-Freedi, Ajab. In: Energy Economics. RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988319304232.

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2020Regime dependent effects and cyclical volatility spillover between crude oil price movements and stock returns. (2020). Onwuka, Kevin O ; Urom, Christian ; Yuni, Denis N ; Uma, Kalu E. In: International Economics. RePEc:eee:inteco:v:161:y:2020:i:c:p:10-29.

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2020Crude oil price forecasting based on a novel hybrid long memory GARCH-M and wavelet analysis model. (2020). Lin, Ling ; Zhou, Zhongbao ; Xiao, Helu ; Jiang, Yong. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:543:y:2020:i:c:s0378437119319697.

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2020Research on the Time-Varying Impact of Economic Policy Uncertainty on Crude Oil Price Fluctuation. (2020). Li, Tinghui ; Failler, Pierre ; Xu, Dilong ; Feng, Yanhong . In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:16:p:6523-:d:398132.

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2020Forecasting crude oil price volatility via a HM-EGARCH model. (2020). Li, Fuxing ; Xiao, Yang ; Lin, YU. In: Energy Economics. RePEc:eee:eneeco:v:87:y:2020:i:c:s0140988320300323.

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2020On realized volatility of crude oil futures markets: Forecasting with exogenous predictors under structural breaks. (2020). Zhang, Dayong ; Todorova, Neda ; Klein, Tony ; Ji, Qiang ; Luo, Jiawen. In: Energy Economics. RePEc:eee:eneeco:v:89:y:2020:i:c:s0140988320301213.

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2020A novel hybrid approach to forecast crude oil futures using intraday data. (2020). Apergis, Nicholas ; Visalakshmi, S ; Manickavasagam, Jeevananthan . In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:158:y:2020:i:c:s0040162520309525.

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2020Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model. (2020). Pionnier, Pierre-Alain ; Ferrara, Laurent ; Doz, Catherine. In: Working Papers. RePEc:hal:wpaper:halshs-02443364.

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2020Business cycle dating and forecasting with real-time Swiss GDP data. (2020). Glocker, Christian ; Wegmueller, Philipp. In: Empirical Economics. RePEc:spr:empeco:v:58:y:2020:i:1:d:10.1007_s00181-019-01666-9.

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2020Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model. (2020). Ferrara, Laurent ; Doz, Catherine ; Pionnier, Pierre-Alain. In: PSE Working Papers. RePEc:hal:psewpa:halshs-02443364.

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2020Macroeconomics, Nonlinearities, and the Business Cycle. (2020). Reif, Magnus. In: ifo Beiträge zur Wirtschaftsforschung. RePEc:ces:ifobei:87.

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2020Global Weakness Index – reading the economy’s vital signs during the COVID-19 crisis. (2020). Quiros, Gabriel Perez ; Perezquiros, Gabriel . In: Research Bulletin. RePEc:ecb:ecbrbu:2020:0072:.

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2020Accelerating Peak Dating in a Dynamic Factor Markov-Switching Model. (2020). van Dijk, Dick ; van Os, Bram. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20200057.

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2020Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model. (2020). Wolters, Maik ; Reif, Magnus ; Heinrich, Markus ; Carstensen, Kai. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:829-850.

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2020Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis. (2020). Rots, Eyno ; Perez-Quiros, Gabriel ; Leiva-Leon, Danilo. In: MNB Working Papers. RePEc:mnb:wpaper:2020/4.

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2020Hour-Ahead Photovoltaic Power Forecasting Using an Analog Plus Neural Network Ensemble Method. (2020). Pei, Yan ; Wang, Jingyi ; Qian, Zheng. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:12:p:3259-:d:375564.

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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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2020Correlated daily time series and forecasting in the M4 competition. (2020). Kull, Meelis ; Komisarenko, Viacheslav ; Tattar, Andre ; Kangsepp, Markus ; Shahroudi, Novin ; Ingel, Anti. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:121-128.

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2020Fast and accurate yearly time series forecasting with forecast combinations. (2020). Shaub, David. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:116-120.

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2020Weighted ensemble of statistical models. (2020). Chorowska, Agata ; Pawlikowski, Maciej. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:93-97.

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2020GROEC: Combination method via Generalized Rolling Origin Evaluation. (2020). Louzada, Francisco ; Fiorucci, Jose Augusto. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:105-109.

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2020A combination-based forecasting method for the M4-competition. (2020). Prakash, P. K. S., ; Jaganathan, Srihari. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:1:p:98-104.

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2020An empirical investigation of water consumption forecasting methods. (2020). Litsiou, Konstantia ; Nikolopoulos, Konstantinos ; Raptis, Achilleas ; Karamaziotis, Panagiotis I ; Assimakopoulos, Vassilis . In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:588-606.

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2020Higher Moment Constraints for Predictive Density Combinations. (2020). Vasnev, Andrey ; Radchenko, Peter ; Pauwels, Laurent. In: Working Papers. RePEc:syb:wpbsba:2123/22140.

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2020Too similar to combine? On negative weights in forecast combination. (2020). Vasnev, Andrey ; Wang, Wendun ; Radchenko, Peter. In: Working Papers. RePEc:syb:wpbsba:2123/22956.

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2020Properization: constructing proper scoring rules via Bayes acts. (2020). Brehmer, Jonas R ; Gneiting, Tilmann . In: Annals of the Institute of Statistical Mathematics. RePEc:spr:aistmt:v:72:y:2020:i:3:d:10.1007_s10463-019-00705-7.

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2020DeepAR: 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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2020Forecasting third-party mobile payments with implications for customer flow prediction. (2020). Fildes, Robert ; Ma, Shaohui. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:739-760.

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2020Daily tourism volume forecasting for tourist attractions. (2020). Li, Hui ; Liu, Yang ; Bi, Jian-Wu. In: Annals of Tourism Research. RePEc:eee:anture:v:83:y:2020:i:c:s0160738320300670.

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2020Percolation analysis of urban air quality: A case in China. (2020). Dong, Gaogao ; Li, Jingjing ; Du, Ruijin ; Fang, Guochang ; Qing, Ting ; Tian, Lixin. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:541:y:2020:i:c:s0378437119318552.

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2020Predictability of hourly nitrogen dioxide concentration. (2020). Haupt, Harry ; Behm, Svenia. In: Ecological Modelling. RePEc:eee:ecomod:v:428:y:2020:i:c:s0304380020301484.

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2020A multi-scale method for forecasting oil price with multi-factor search engine data. (2020). Wang, Shouyang ; Li, Ling ; Zhang, Chengyuan ; Tang, Ling. In: Applied Energy. RePEc:eee:appene:v:257:y:2020:i:c:s0306261919317209.

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2020Text-based crude oil price forecasting. (2020). Jia, Suling ; Yu, Hao ; Li, Xixi ; Bai, Yun. In: Papers. RePEc:arx:papers:2002.02010.

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2020Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market. (2020). Li, Taiyong ; Miu, Feng ; Wu, Jiang. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:7:p:1852-:d:344122.

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2020The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain. (2020). Ling, LI ; Jingjing, LI. In: Journal of Systems Science and Information. RePEc:bpj:jossai:v:8:y:2020:i:3:p:224-239:n:2.

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2020The effects of investor emotions sentiments on crude oil returns: A time and frequency dynamics analysis. (2020). Abdoh, Hussein ; Awartani, Basel ; Maghyereh, Aktham. In: International Economics. RePEc:eee:inteco:v:162:y:2020:i:c:p:110-124.

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2020Forecasting crude oil price with multilingual search engine data. (2020). Wang, Shouyang ; Tang, Ling ; Li, Jingjing. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:551:y:2020:i:c:s037843712030025x.

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2020A novel hybrid model for forecasting crude oil price based on time series decomposition. (2020). Abdollahi, Hooman. In: Applied Energy. RePEc:eee:appene:v:267:y:2020:i:c:s030626192030547x.

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2020Nowcasting Turkish GDP with MIDAS: Role of Functional Form of the Lag Polynomial. (2020). Gunay, Mahmut. In: Working Papers. RePEc:tcb:wpaper:2002.

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2020Moving markets? Government bond investors and microeconomic policy changes. (2020). Wibbels, Erik ; Paniagua, Victoria ; Mosley, Layna. In: Economics and Politics. RePEc:bla:ecopol:v:32:y:2020:i:2:p:197-249.

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2020Are low frequency macroeconomic variables important for high frequency electricity prices?. (2020). Rossini, Luca ; Ravazzolo, Francesco ; Foroni, Claudia. In: Papers. RePEc:arx:papers:2007.13566.

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2020Structural analysis with mixed-frequency data: A model of US capital flows. (2020). Rossi, Eduardo ; Missale, Alessandro ; Bastianin, Andrea ; Bacchiocchi, Emanuele. In: Economic Modelling. RePEc:eee:ecmode:v:89:y:2020:i:c:p:427-443.

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2020Forecasting short-run exchange rate volatility with monetary fundamentals: A GARCH-MIDAS approach. (2020). Liu, Xiaochun ; You, YU. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:116:y:2020:i:c:s0378426620301151.

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2020Mixed data sampling expectile regression with applications to measuring financial risk. (2020). Yu, Keming ; Jiang, Cuixia ; Chen, LU ; Xu, Qifa. In: Economic Modelling. RePEc:eee:ecmode:v:91:y:2020:i:c:p:469-486.

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2020The Vietnamese business cycle in an estimated small open economy New Keynesian DSGE model. (2020). van Nguyen, Phuong. In: Dynare Working Papers. RePEc:cpm:dynare:056.

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2020Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models. (2020). van Nguyen, Phuong. In: Dynare Working Papers. RePEc:cpm:dynare:059.

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2020Dynamic Asymmetry and Fiscal Policy. (2020). Zanetti Chini, Emilio. In: MPRA Paper. RePEc:pra:mprapa:98499.

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2020Global Cities and Local Challenges: Booms and Busts in the London Real Estate Market.. (2020). Zanetti Chini, Emilio ; Canepa, Alessandra ; Alqaralleh, Huthaifa. In: Department of Economics and Statistics Cognetti de Martiis. Working Papers. RePEc:uto:dipeco:202011.

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2020Global Cities and Local Housing Market Cycles. (2020). Alqaralleh, Huthaifa ; Chini, Emilio Zanetti ; Canepa, Alessandra. In: The Journal of Real Estate Finance and Economics. RePEc:kap:jrefec:v:61:y:2020:i:4:d:10.1007_s11146-019-09734-8.

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2020Monetary policy implications of the COVID-19 outbreak, the social pandemic. (2020). Dupont, Genevieve ; Roedl, Marianne. In: MPRA Paper. RePEc:pra:mprapa:99981.

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2020Can Households Predict where the Macroeconomy is Headed?. (2020). Osterholm, Par ; Kladivko, Kamil. In: Working Papers. RePEc:hhs:oruesi:2020_011.

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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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2020Google It Up! A Google Trends-based analysis of COVID-19 outbreak in Iran. (2020). Farzanegan, Mohammad Reza ; Sadati, Saeed Malek ; Feizi, Mehdi. In: MAGKS Papers on Economics. RePEc:mar:magkse:202017.

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2020Public Concern and the Financial Markets during the COVID-19 outbreak. (2020). Santagiustina, Carlo ; Iacopini, Matteo ; Costola, Michele. In: Papers. RePEc:arx:papers:2005.06796.

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2020Effective energy consumption forecasting using enhanced bagged echo state network. (2020). Zeng, Yu-Rong ; Peng, LU ; Wang, Lin ; Hu, Huanling. In: Energy. RePEc:eee:energy:v:193:y:2020:i:c:s0360544219324739.

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2020Crude oil price analysis and forecasting: A perspective of “new triangle”. (2020). Wang, Shouyang ; Chai, Jian ; Li, Yuze ; Lu, Quanying. In: Energy Economics. RePEc:eee:eneeco:v:87:y:2020:i:c:s0140988320300608.

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2020Can Google search data help predict macroeconomic series?. (2020). Lange, Rutger-Jan ; Brons, Kester ; Veldhuisen, Christian P ; Oorschot, Jochem A ; Niesert, Robin F. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:1163-1172.

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2020Google trends and the predictability of precious metals. (2020). Salisu, Afees ; Ogbonna, Ahamuefula ; Adewuyi, Adeolu. In: Resources Policy. RePEc:eee:jrpoli:v:65:y:2020:i:c:s0301420719307408.

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2020When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage. (2020). Ferrara, Laurent ; Simoni, Anna. In: Papers. RePEc:arx:papers:2007.00273.

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2020When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage. (2020). Ferrara, Laurent ; Simoni, Anna. In: EconomiX Working Papers. RePEc:drm:wpaper:2020-11.

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2020Googling Unemployment During the Pandemic: Inference and Nowcast Using Search Data. (2020). Mazzarella, Gianluca ; Geraci, Andrea ; Colagrossi, Marco ; Capema, Giulio. In: Working Papers. RePEc:jrs:wpaper:202004.

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2020Optimising forecasting models for inventory planning. (2020). Barrow, Devon K ; Trapero, Juan R ; Kourentzes, Nikolaos. In: International Journal of Production Economics. RePEc:eee:proeco:v:225:y:2020:i:c:s0925527319304323.

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2020Demand forecasting in retail operations for fashionable products: methods, practices, and real case study. (2020). Ren, Shuyun ; Siqin, Tana ; Chan, Hau-Ling. In: Annals of Operations Research. RePEc:spr:annopr:v:291:y:2020:i:1:d:10.1007_s10479-019-03148-8.

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2020Demand Forecasting of Retail Sales Using Data Analytics and Statistical Programming. (2020). Orestis, Efthymiou ; Stavros, Ponis ; Panagiota, Lalou. In: Management & Marketing. RePEc:vrs:manmar:v:15:y:2020:i:2:p:186-202:n:4.

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2020An exploration of sales forecasting: sales manager and salesperson perspectives. (2020). Wilson, Holton J ; Dingus, Rebecca ; Hoyle, Jeffrey A. In: Journal of Marketing Analytics. RePEc:pal:jmarka:v:8:y:2020:i:3:d:10.1057_s41270-020-00082-8.

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2020Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework. (2020). Sharma, Suneel ; Chandra, Shalini ; Paliwal, Vineet. In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:18:p:7638-:d:414321.

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2020.

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2020Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic. (2020). Haucap, Justus ; Fischer, Kai. In: CESifo Working Paper Series. RePEc:ces:ceswps:_8526.

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2020Betting market efficiency in the presence of unfamiliar shocks: The case of ghost games during the COVID-19 pandemic. (2020). Haucap, Justus ; Fischer, Kai. In: DICE Discussion Papers. RePEc:zbw:dicedp:349.

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2020Proper scoring rules for evaluating asymmetry in density forecasting. (2020). Ravazzolo, Francesco ; Iacopini, Matteo ; Rossini, Luca. In: Papers. RePEc:arx:papers:2006.11265.

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2020Proper scoring rules for evaluating asymmetry in density forecasting. (2020). Rossini, Luca ; Ravazzolo, Francesco ; Iacopini, Matteo. In: Working Papers. RePEc:bny:wpaper:0089.

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2020Spare parts inventory control based on maintenance planning. (2020). Dekker, Rommert ; van Jaarsveld, Willem ; Zhu, Sha. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019300663.

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2020Machine Learning Econometrics: Bayesian algorithms and methods. (2020). Korobilis, Dimitris ; Pettenuzzo, Davide. In: Papers. RePEc:arx:papers:2004.11486.

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2020Computing Bayes: Bayesian Computation from 1763 to the 21st Century. (2020). Robert, Christian P ; Frazier, David T ; Martin, Gael M. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2020-14.

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2020Machine Learning Econometrics: Bayesian algorithms and methods. (2020). Pettenuzzo, Davide ; Korobilis, Dimitris. In: MPRA Paper. RePEc:pra:mprapa:100165.

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2020Machine Learning Econometrics: Bayesian algorithms and methods. (2020). Pettenuzzo, Davide ; Korobilis, Dimitris. In: Working Papers. RePEc:brd:wpaper:130.

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2020Machine Learning Econometrics: Bayesian algorithms and methods. (2020). Pettenuzzo, Davide ; Korobilis, Dimitris. In: Working Papers. RePEc:gla:glaewp:2020_09.

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2020Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts. (2020). Gooijer, Jan G. ; Dawit, Zerom ; Jan, De Gooijer. In: Journal of Time Series Econometrics. RePEc:bpj:jtsmet:v:12:y:2020:i:1:p:15:n:4.

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2020From Heavy-Tailed Micro to Macro: on the characterization of firm-level heterogeneity and its aggregation properties.. (2020). Dewitte, Ruben. In: MPRA Paper. RePEc:pra:mprapa:103170.

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2020Bibliometric indices as a measure of competition in sports. (2020). Petróczy, Dóra ; L'aszl'o Csat'o, . In: Papers. RePEc:arx:papers:2005.13416.

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2020Miért igazságtalan a 2020-as labdarúgó-Európa-bajnokság kvalifikációja?. (2020). Petróczy, Dóra ; Petroczy, Dora Greta ; Csato, Laszlo. In: Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences). RePEc:ksa:szemle:1916.

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2020The UEFA Champions League seeding is not strategy-proof since the 2015/16 season. (2020). Csato, Laszlo. In: Annals of Operations Research. RePEc:spr:annopr:v:292:y:2020:i:1:d:10.1007_s10479-020-03637-1.

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2020.

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2020Another look at the implied and realised volatility relation: a copula-based approach. (2020). Pérez-Rodríguez, Jorge ; Perez-Rodriguez, Jorge V. In: Risk Management. RePEc:pal:risman:v:22:y:2020:i:1:d:10.1057_s41283-019-00054-y.

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2020Risk dependence and cointegration between pharmaceutical stock markets: The case of China and the USA. (2020). Pérez-Rodríguez, Jorge ; Lopez-Valcarcel, Beatriz Gonzalez ; Perez-Rodriguez, Jorge V ; Qian, Huanhuan ; Zhou, Xinmiao. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:52:y:2020:i:c:s1062940820300723.

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2020Betting markets for English Premier League results and scorelines: evaluating a simple forecasting model. (2020). Singleton, Carl ; Reade, J ; Williams, Leighton Vaughan ; VaughanWilliams, Leighton . In: Economics & Management Discussion Papers. RePEc:rdg:emxxdp:em-dp2020-03.

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2020Information, prices and efficiency in an online betting market. (2020). Singleton, Carl ; Reade, J ; Elaad, Guy. In: Finance Research Letters. RePEc:eee:finlet:v:35:y:2020:i:c:s1544612319306440.

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2020Cryptocurrencies: A Copula Based Approach for Asymmetric Risk Marginal Allocations. (2020). Younas, Zahid Irshad ; Meloni, Mirko ; Jeleskovic, Vahidin . In: MAGKS Papers on Economics. RePEc:mar:magkse:202034.

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2020Gold, platinum, and expected Bitcoin returns. (2020). Wang, Mei ; Burggraf, Tobias ; Duc, Toan Luu. In: Journal of Multinational Financial Management. RePEc:eee:mulfin:v:56:y:2020:i:c:s1042444x20300177.

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2020Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach. (2020). Binti, Nur Harena ; Rosman, Romzie Bin ; Kassim, Salina ; Abdullah, Anwar Hasan. In: Journal of Revenue and Pricing Management. RePEc:pal:jorapm:v:19:y:2020:i:5:d:10.1057_s41272-020-00229-3.

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2020Issues of an improving the accuracy of energy carriers production forecasting in a computer-aided system for monitoring the operation of a gas-fired cogeneration plant. (2020). Szega, Marcin ; Ymeka, Piotr. In: Energy. RePEc:eee:energy:v:209:y:2020:i:c:s0360544220315395.

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2020A SOFTWARE MODULE FOR MULTI-CRITERIA SUPPLIERS’ SELECTION WITH RESPECT TO THE SPARE PARTS LOGISTIC. (2020). Mukhametdinov, Eduard ; Buyvol, Polina ; Shubenkova, Ksenia ; Makarova, Irina. In: Transport Problems. RePEc:exl:1trans:v:15:y:2020:i:1:p:105-116.

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2020Are We More Accurate? Revisiting the European Commission’s Macroeconomic Forecasts. (2020). Vkrabka, Milan ; Lamproye, Sebastien ; Chabin, Andras. In: European Economy - Discussion Papers 2015 -. RePEc:euf:dispap:128.

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2020Five dimensions of the uncertainty–disagreement linkage. (2020). Glas, Alexander. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:607-627.

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2020Central banks voting contest. (2020). Charemza, Wojciech. In: MPRA Paper. RePEc:pra:mprapa:101205.

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2020The Multivariate Linear Prediction Problem: Model-Based and Direct Filtering Solutions. (2020). Wildi, Marc ; McElroy, Tucker S. In: Econometrics and Statistics. RePEc:eee:ecosta:v:14:y:2020:i:c:p:112-130.

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2020A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies. (2020). Fantazzini, Dean ; Zimin, Stephan. In: Economia e Politica Industriale: Journal of Industrial and Business Economics. RePEc:spr:epolin:v:47:y:2020:i:1:d:10.1007_s40812-019-00136-8.

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2020Asymmetric volatility in cryptocurrency markets: New evidence from smooth transition GARCH models. (2020). Ben Cheikh, Nidhaleddine ; Chevallier, Julien ; ben Zaied, Younes. In: Finance Research Letters. RePEc:eee:finlet:v:35:y:2020:i:c:s154461231930162x.

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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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2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:466-479.

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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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2020Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs. (2020). Weron, Rafał ; Marcjasz, Grzegorz ; Lago, Jesus. In: Papers. RePEc:arx:papers:2008.08006.

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2020Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:7:p:1667-:d:340785.

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2020Determination of Electricity Demand by Personal Light Electric Vehicles (PLEVs): An Example of e-Motor Scooters in the Context of Large City Management in Poland. (2020). Jagodziski, Jacek ; Chaberek, Grayna ; Brdulak, Anna . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:1:p:194-:d:304073.

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2020Comparison of Electricity Spot Price Modelling and Risk Management Applications. (2020). Adiyeke, Esra ; Anakolu, Ethem . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:18:p:4698-:d:411305.

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2020Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme. (2020). Marcjasz, Grzegorz. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:18:p:4605-:d:409115.

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2020Behavioral changes and policy effects during Covid-19. (2020). Anundsen, Andre ; Thorsrud, Leif Anders ; Larsen, Erling Roed ; Kivedal, Bjornar Karlsen . In: Working Papers. RePEc:bny:wpaper:0090.

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2020Rethinking weather station selection for electric load forecasting using genetic algorithms. (2020). Muoz, Antonio ; Sanchez-Ubeda, Eugenio F ; Moreno-Carbonell, Santiago. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:695-712.

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2020Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy. (2020). Zaman, Saeed ; Tallman, Ellis W. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:373-398.

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2020Monetary policy with judgment. (2020). Gelain, Paolo ; Manganelli, Simone. In: Working Paper Series. RePEc:ecb:ecbwps:20202404.

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

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2020Nowcasting with large Bayesian vector autoregressions. (2020). Sokol, Andrej ; Giannone, Domenico ; Cimadomo, Jacopo ; Monti, Francesca ; Lenza, Michele. In: Working Paper Series. RePEc:ecb:ecbwps:20202453.

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2020Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them. (2020). Rossi, Barbara. In: CEPR Discussion Papers. RePEc:cpr:ceprdp:14472.

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2020Predicting bond return predictability. (2020). Thyrsgaard, Martin ; Kjar, Mads M ; Eriksen, Jonas N ; Borup, Daniel. In: CREATES Research Papers. RePEc:aah:create:2020-09.

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2020Are GDP forecasts optimal? Evidence on European countries. (2020). Pericoli, Filippo Maria ; Giovannelli, Alessandro. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:963-973.

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2020Financial frictions and changing macroeconomic volatility. (2020). Higgins, Charles. In: Journal of Macroeconomics. RePEc:eee:jmacro:v:64:y:2020:i:c:s0164070419302629.

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2020Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions. (2020). Marcellino, Massimiliano ; Clark, Todd ; Carriero, Andrea. In: Working Papers. RePEc:fip:fedcwq:87375.

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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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2020Probabilistic solar irradiance transposition models. (2020). Yang, Dazhi ; Quan, Hao. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:125:y:2020:i:c:s136403212030109x.

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2020Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader. (2020). Weron, Tomasz ; Serafin, Tomasz ; Nitka, Weronika ; Zaleski, Przemysaw ; Kath, Christopher. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:1:p:205-:d:304260.

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2020PCA forecast averaging - predicting day-ahead and intraday electricity prices. (2020). Uniejewski, Bartosz ; Serafin, Tomasz ; Maciejowska, Katarzyna. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2002.

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2020Optimization of Electric Energy Sales Strategy Based on Probabilistic Forecasts. (2020). Michalak, Aleksandra ; Janczura, Joanna . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:5:p:1045-:d:325457.

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2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices. (2020). Serafin, Tomasz ; Uniejewski, Bartosz ; Maciejowska, Katarzyna. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:14:p:3530-:d:382069.

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2020Intraday Electricity Pricing of Night Contracts. (2020). Paraschiv, Florentina ; Kiesel, Rudiger ; Kremer, Marcel. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:17:p:4501-:d:406944.

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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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2020Econometric modelling and forecasting of intraday electricity prices. (2020). Ziel, Florian ; Narajewski, Micha. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:19:y:2020:i:c:s2405851319300728.

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2020Optimal Order Execution in Intraday Markets: Minimizing Costs in Trade Trajectories. (2020). Ziel, Florian ; Kath, Christopher. In: Papers. RePEc:arx:papers:2009.07892.

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2020Forecasting natural gas prices using highly flexible time-varying parameter models. (2020). Nguyen, Bao H ; Hou, Chenghan ; Gao, Shen. In: Working Papers. RePEc:tas:wpaper:32412.

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2020Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach.. (2020). Heinrich, Markus. In: EconStor Preprints. RePEc:zbw:esprep:219312.

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2020Real-time Probabilistic Nowcasts of UK Quarterly GDP Growth using a Mixed-Frequency Bottom-up Approach. (2020). Lopresto, Marta ; Galvao, Ana Beatriz. In: Economic Statistics Centre of Excellence (ESCoE) Discussion Papers. RePEc:nsr:escoed:escoe-dp-2020-06.

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2020Macroeconomic Data Transformations Matter. (2020). Stevanovic, Dalibor ; Surprenant, St'Ephane ; Leroux, Maxime ; Coulombe, Philippe Goulet. In: Papers. RePEc:arx:papers:2008.01714.

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2020Macroeconomic Data Transformations Matter. (2020). Stevanovic, Dalibor ; Surprenant, Stephane ; Leroux, Maxime ; Coulombe, Philippe Goulet. In: CIRANO Working Papers. RePEc:cir:cirwor:2020s-42.

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2020Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs. (2020). Pfarrhofer, Michael ; Huber, Florian ; Schreiner, Josef ; Onorante, Luca ; Koop, Gary. In: Papers. RePEc:arx:papers:2008.12706.

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2020Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters. (2020). Reif, Magnus ; Heinrich, Markus. In: CESifo Working Paper Series. RePEc:ces:ceswps:_8054.

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2020Ordinal-response models for irregularly spaced transactions: A forecasting exercise. (2020). Aknouche, Abdelhakim ; Tsionas, Mike G ; Dimitrakopoulos, Stefanos. In: MPRA Paper. RePEc:pra:mprapa:103250.

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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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2020Time Series Decomposition of the Daily Outdoor Air Temperature in Europe for Long-Term Energy Forecasting in the Context of Climate Change. (2020). Muoz, Antonio ; Sanchez-Ubeda, Eugenio F ; Moreno-Carbonell, Santiago. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:7:p:1569-:d:338570.

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2020Short-term electrical load forecasting based on error correction using dynamic mode decomposition. (2020). Zhang, Yusen ; Wang, Chengshan ; Li, Chuang ; Kong, Xiangyu. In: Applied Energy. RePEc:eee:appene:v:261:y:2020:i:c:s0306261919320550.

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2020Forecasting Hierarchical Time Series in Power Generation. (2020). Costa, Marcelo Azevedo ; Gontijo, Tiago Silveira. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:14:p:3722-:d:386897.

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2020Distributed ARIMA Models for Ultra-long Time Series. (2020). Li, Feng ; Hyndman, Rob J ; Kang, Yanfei ; Wang, Xiaoqian. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2020-29.

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2020Probability Forecast Combination via Entropy Regularized Wasserstein Distance. (2020). Shin, Minchul ; Cumings-Menon, Ryan. In: Working Papers. RePEc:fip:fedpwp:88545.

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2020The Impact of Imperfect Weather Forecasts on Wind Power Forecasting Performance: Evidence from Two Wind Farms in Greece. (2020). Nikolopoulos, Konstantinos ; Petropoulos, Fotios ; Spiliotis, Evangelos. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:8:p:1880-:d:344678.

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2020A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid. (2020). Derhab, Abdelouahid ; Khan, Farrukh Aslam ; Ali, Mohammad Usman ; Shafiq, Zeeshan ; Wadud, Zahid ; Alimgeer, Khurram Saleem ; Hafeez, Ghulam. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:9:p:2244-:d:353681.

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2020Peak-Load Forecasting for Small Industries: A Machine Learning Approach. (2020). Sania, Naik Bakht ; Lee, Eun-Kyu ; Kim, Dong-Hoon. In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:16:p:6539-:d:398335.

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2020Robustness of Short-Term Wind Power Forecasting against False Data Injection Attacks. (2020). Wang, KE ; Lin, Fan ; Zhang, Yao. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:15:p:3780-:d:388735.

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2020Time-varying Uncertainty of the Federal Reserve’s Output Gap Estimate. (2020). Berge, Travis J. In: Finance and Economics Discussion Series. RePEc:fip:fedgfe:2020-12.

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2020Another look into the factor model black box: factor interpretation and structural (in)stability. (2020). Doz, Catherine ; Despois, Thomas. In: Working Papers. RePEc:hal:wpaper:halshs-02235543.

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2020Assessing nowcast accuracy of US GDP growth in real time: the role of booms and busts. (2020). Siliverstovs, Boriss. In: Empirical Economics. RePEc:spr:empeco:v:58:y:2020:i:1:d:10.1007_s00181-019-01704-6.

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2020Macroeconomic Forecasting Using Factor Models and Machine Learning: An Application to Japan. (2020). Shintani, Mototsugu ; Maehashi, Kohei. In: CIRJE F-Series. RePEc:tky:fseres:2020cf1146.

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2020The Role of Investor Sentiment in Forecasting Housing Returns in China: A Machine Learning Approach. (2020). GUPTA, RANGAN ; Onay, Yigit ; Cepni, Oguzhan. In: Working Papers. RePEc:pre:wpaper:202055.

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2020Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions. (2020). Wochner, Daniel. In: KOF Working papers. RePEc:kof:wpskof:20-472.

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2020Nowcasting GDP growth using data reduction methods: Evidence for the French economy. (2020). Charles, Amelie ; Darne, Olivier. In: Post-Print. RePEc:hal:journl:hal-02948802.

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2020Nowcasting GDP growth using data reduction methods: Evidence for the French economy. (2020). Charles, Amelie ; Darne, Olivier. In: Economics Bulletin. RePEc:ebl:ecbull:eb-20-00680.

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2020The Delphi technique in forecasting– A 42-year bibliographic analysis (1975–2017). (2020). Bridson, Shannon ; Pitt, Leyland ; Flostrand, Andrew . In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:150:y:2020:i:c:s0040162518300374.

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2020An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks. (2020). Galariotis, Emilios ; Zopounidis, Constantin ; Doumpos, Michalis ; Manthoulis, Georgios. In: European Journal of Operational Research. RePEc:eee:ejores:v:282:y:2020:i:2:p:786-801.

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2020Predicting bank insolvencies using machine learning techniques. (2020). Vlachogiannakis, Nikolaos E ; Stavroulakis, Evangelos ; Siakoulis, Vasilis ; Petropoulos, Anastasios. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:1092-1113.

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2020Non-linearities, cyber attacks and cryptocurrencies. (2020). Spagnolo, Nicola ; Caporale, Guglielmo Maria ; Kang, Woo-Young. In: Finance Research Letters. RePEc:eee:finlet:v:32:y:2020:i:c:s1544612319309377.

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2020Empirical modeling of high-income and emerging stock and Forex market return volatility using Markov-switching GARCH models. (2020). Rodríguez, Gabriel ; Ataurima Arellano, Miguel. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:52:y:2020:i:c:s1062940820300607.

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2020Do Islamic stocks outperform conventional stock sectors during normal and crisis periods? Extreme co-movements and portfolio management analysis. (2020). Vo, Xuan Vinh ; Kang, Sang Hoon ; Ur, Mobeen ; Mensi, Walid ; Al-Yahyaee, Khamis Hamed. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:62:y:2020:i:c:s0927538x20300718.

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2020On a method to improve your service BOMs within spare parts management. (2020). van Houtum, G J ; Stip, J. In: International Journal of Production Economics. RePEc:eee:proeco:v:221:y:2020:i:c:s0925527319302762.

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2020Optimal inventory control and design refresh selection in managing part obsolescence. (2020). Liu, Shaoxuan ; Shi, Zhenyang. In: European Journal of Operational Research. RePEc:eee:ejores:v:287:y:2020:i:1:p:133-144.

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2020Density forecast combinations: the real-time dimension. (2020). Warne, Anders ; McAdam, Peter. In: Working Paper Series. RePEc:ecb:ecbwps:20202378.

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2020Comparison of macroeconomic indicators nowcasting methods: Russian GDP case. (2020). Stankevich, Ivan. In: Applied Econometrics. RePEc:ris:apltrx:0402.

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2020Dynamic Bayesian forecasting of English Premier League match results with the Skellam distribution. (2020). Rossini, Luca ; Ravazzolo, Francesco ; Smit, Robert C. In: BEMPS - Bozen Economics & Management Paper Series. RePEc:bzn:wpaper:bemps72.

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2020Estimation of final standings in football competitions with premature ending: the case of COVID-19. (2020). Lit, Rutger ; Koopman, Siem Jan ; Gorgi, Paolo. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20200070.

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2020Nowcasting German GDP. (2020). Strohsal, Till ; Reichlin, Lucrezia ; Hasenzagl, Thomas ; Senftleben-Konig, Charlotte Charlotte ; Andreini, Paolo. In: CEPR Discussion Papers. RePEc:cpr:ceprdp:14323.

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2020Forecasting Macroeconomic Risks. (2020). Adams, Patrick ; Adrian, Tobias ; Boyarchenko, Nina ; Giannone, Domenico. In: CEPR Discussion Papers. RePEc:cpr:ceprdp:14436.

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2020Central Bank Tone and the Dispersion of Views within Monetary Policy Committees. (2020). Labondance, Fabien ; Hubert, Paul. In: Documents de Travail de l'OFCE. RePEc:fce:doctra:2002.

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2020A daily fever curve for the Swiss economy. (2020). Kaufmann, Daniel ; Burri, Marc. In: IRENE Working Papers. RePEc:irn:wpaper:20-05.

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2020ECONOMETRICS MEETS SENTIMENT: AN OVERVIEW OF METHODOLOGY AND APPLICATIONS. (2020). Boudt, Kris ; Algaba, Andres ; Borms, Samuel ; Bluteau, Keven ; Ardia, David. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:34:y:2020:i:3:p:512-547.

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2020A daily fever curve for the Swiss economy. (2020). Burri, Marc ; Kaufmann, Daniel. In: Swiss Journal of Economics and Statistics. RePEc:spr:sjecst:v:156:y:2020:i:1:d:10.1186_s41937-020-00051-z.

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2020Reconciled Estimates of Monthly GDP in the US. (2020). Poon, Aubrey ; Mitchell, James ; McIntyre, Stuart ; Koop, Gary. In: EMF Research Papers. RePEc:wrk:wrkemf:37.

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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 Time-varying Parameter Models. (2020). Hauzenberger, Niko. In: Papers. RePEc:arx:papers:2006.10088.

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2020Are low frequency macroeconomic variables important for high frequency electricity prices?. (2020). Rossini, Luca ; Ravazzolo, Francesco ; Foroni, Claudia. In: Papers. RePEc:arx:papers:2007.13566.

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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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2020Forecasting financial markets with semantic network analysis in the COVID-19 crisis. (2020). Violante, Francesco ; Ravazzolo, F ; Grassi, S ; Colladon, Fronzetti A. In: Papers. RePEc:arx:papers:2009.04975.

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

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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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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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2020Big Data for Energy Management and Energy-Efficient Buildings. (2020). Marinakis, Vangelis . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:7:p:1555-:d:337630.

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2020The Impact of Imperfect Weather Forecasts on Wind Power Forecasting Performance: Evidence from Two Wind Farms in Greece. (2020). Nikolopoulos, Konstantinos ; Petropoulos, Fotios ; Spiliotis, Evangelos. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:8:p:1880-:d:344678.

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2020.

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2020Distributed ARIMA Models for Ultra-long Time Series. (2020). Li, Feng ; Hyndman, Rob J ; Kang, Yanfei ; Wang, Xiaoqian. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2020-29.

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2020Forecasting for Social Good. (2020). Syntetos, Aris ; Porter, Michael D ; Hyndman, Rob J ; Hong, Tao ; Ali, Mohammad M ; Rostami-Tabar, Bahman. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2020-37.

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2020Short-term forecasting of the Coronavirus Pandemic - 2020-04-27. (2020). Hendry, David ; Castle, Jennifer ; Doornik, Jurgen A. In: Economics Papers. RePEc:nuf:econwp:2006.

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2020Fear of Hazards in Commodity Futures Markets. (2020). Miffre, Joelle ; Gonzalez-Fernandez, Marcos ; Fuertes, Ana-Maria ; Fernandez-Perez, Adrian. In: MPRA Paper. RePEc:pra:mprapa:100528.

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2020Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries. (2020). Fantazzini, Dean. In: MPRA Paper. RePEc:pra:mprapa:102315.

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2020OPEC News and Jumps in the Oil Market. (2020). Yoon, Seong-Min ; Pierdzioch, Christian ; GUPTA, RANGAN ; Gkillas, Konstantinos. In: Working Papers. RePEc:pre:wpaper:202053.

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2020Measuring the uncertainty of shadow economy estimates using Bayesian and frequentist model averaging. (2020). Dybka, Piotr ; Torj, Andrzej ; Rozkrut, Marek ; Olesiski, Bartosz. In: Working Papers. RePEc:sgh:kaewps:2020046.

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2020Does Judgment Improve Macroeconomic Density Forecasts?. (2020). Mitchell, James ; Garratt, Anthony ; Galvao, Ana Beatriz. In: EMF Research Papers. RePEc:wrk:wrkemf:33.

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2020Real Time Forecasting of Covid-19 Intensive Care Units demand. (2020). Verzillo, S ; Paruolo, P ; Lovaglio, P G ; Berta, P. In: Health, Econometrics and Data Group (HEDG) Working Papers. RePEc:yor:hectdg:20/16.

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2020Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach.. (2020). Heinrich, Markus. In: EconStor Preprints. RePEc:zbw:esprep:219312.

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2020Fear of the coronavirus and the stock markets. (2020). Molnár, Peter ; Baumohl, Eduard ; Molnar, Peter ; Vrost, Toma ; Lyocsa, Tefan. In: EconStor Preprints. RePEc:zbw:esprep:219336.

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Recent citations received in 2019

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

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

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

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2019Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections. (2019). Diebold, Francis ; Rudebusch, Glenn D. In: Papers. RePEc:arx:papers:1912.10774.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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2019
2019
2019PARIMUTUEL BETTING ON THE ESPORTS DUELS: REVERSE FAVOURITE-LONGSHOT BIAS AND ITS DETERMINANTS. (2019). Dagaev, Dmitry ; Stoyan, Egor. In: HSE Working papers. RePEc:hig:wpaper:216/ec/2019.

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2019Public Procurement Announcements in Spain: Regulations, Data Analysis, and Award Price Estimator Using Machine Learning. (2019). Montequin, Vicente Rodriguez ; Fernandez, Francisco Ortega ; Garcia, Manuel J ; Villanueva, Joaquin M. In: Complexity. RePEc:hin:complx:2360610.

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2019Chinese Currency Exchange Rates Forecasting with EMD-Based Neural Network. (2019). Jiang, Chonghui ; Du, Jiangze ; Wang, Jying-Nan ; Lai, Kin-Keung . In: Complexity. RePEc:hin:complx:7458961.

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2019Hierarchical Forecasting. (2019). Hyndman, Rob ; Affan, Mohamed ; Panagiotelis, Anastasios ; Gamakumara, Puwasala ; Athanasopoulos, George. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-2.

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2019Text Selection. (2019). Moreira, Alan ; Manela, Asaf ; Kelly, Bryan T. In: NBER Working Papers. RePEc:nbr:nberwo:26517.

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More than 50 citations. List broken...

Recent citations received in 2018

YearCiting document
2018Models with Multiplicative Decomposition of Conditional Variances and Correlations. (2018). Teräsvirta, Timo ; Silvennoinen, Annastiina ; Amado, Cristina ; Terasvirta, Timo. In: CREATES Research Papers. RePEc:aah:create:2018-14.

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2018Can Media and Text Analytics Provide Insights into Labour Market Conditions in China?. (2018). Thanabalasingam, Sri ; Liu, Yu-Hsien ; Kruger, Mark ; Bailliu, Jeannine. In: Staff Working Papers. RePEc:bca:bocawp:18-12.

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2018Monetary Policy Uncertainty: A Tale of Two Tails. (2018). Sekhposyan, Tatevik ; Dahlhaus, Tatjana. In: Staff Working Papers. RePEc:bca:bocawp:18-50.

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2018Can media and text analytics provide insights into labour market conditions in China?. (2018). Thanabalasingam, Sri ; Kruger, Mark ; Liu, Yu-Hsien ; Bailliu, Jeannine. In: BOFIT Discussion Papers. RePEc:bof:bofitp:2018_009.

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2018Nowcasting Japanese GDPs. (2018). Kido, Yosuke ; Hirakata, Naohisa ; Kyosuke, Naohisa Hirakata. In: Bank of Japan Working Paper Series. RePEc:boj:bojwps:wp18e18.

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2018Modelling Volatility of Cryptocurrencies Using Markov-Switching Garch Models. (2018). Caporale, Guglielmo Maria ; Zekokh, Timur. In: CESifo Working Paper Series. RePEc:ces:ceswps:_7167.

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2018Experimental validation of an electrical and thermal energy demand model for rapid assessment of rural health centers in sub-Saharan Africa. (2018). Orosz, Matthew ; Lemort, Vincent ; Mueller, Amy ; Altes-Buch, Queralt. In: Applied Energy. RePEc:eee:appene:v:218:y:2018:i:c:p:382-390.

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2018Crude oil risk forecasting: New evidence from multiscale analysis approach. (2018). He, Kaijian ; Liu, Jia ; Zou, Yingchao . In: Energy Economics. RePEc:eee:eneeco:v:76:y:2018:i:c:p:574-583.

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2018The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems. (2018). Chai, Shanglei ; Zhou, P. In: Energy Economics. RePEc:eee:eneeco:v:76:y:2018:i:c:p:64-75.

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2018Estimation of game-level attendance in major league soccer: Outcome uncertainty and absolute quality considerations. (2018). Sung, Hojun ; Mills, Brian M. In: Sport Management Review. RePEc:eee:spomar:v:21:y:2018:i:5:p:519-532.

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2018Energy Commodity Price Forecasting with Deep Multiple Kernel Learning. (2018). Huang, Shian-Chang ; Wu, Cheng-Feng. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:11:p:3029-:d:180549.

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2018Smart Meter Forecasting from One Minute to One Year Horizons. (2018). Massidda, Luca ; Marrocu, Marino. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:12:p:3520-:d:191309.

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2018.

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2018Regime-Switching Determinants for Spreads of Emerging Markets Sovereign Credit Default Swaps. (2018). Ma, Jason Z ; Tsai, Sang-Bing ; Ho, Kung-Cheng ; Deng, Xiang. In: Sustainability. RePEc:gam:jsusta:v:10:y:2018:i:8:p:2730-:d:161653.

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2018ARE CONSUMER INFLATION EXPECTATIONS AN INTERNATIONAL PHENOMENON? Results of spatial panel regressions models. (2018). Širaňová, Mária ; Tura-Gawron, Karolina ; Fisikowski, Karol ; Siranova, Maria. In: GUT FME Working Paper Series A. RePEc:gdk:wpaper:50.

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2018Going with your Gut: The (In)accuracy of Forecast Revisions in a Football Score Prediction Game. (2018). Singleton, Carl ; Reade, J ; Brown, Alsdair. In: Working Papers. RePEc:gwc:wpaper:2018-006.

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2018Estimation of effects of recent macroprudential policies in a sample of advanced open economies. (2018). Nymoen, Ragnar ; Sjberg, Jon Ivar ; Pedersen, Kari. In: Memorandum. RePEc:hhs:osloec:2018_005.

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2018An Algorithmic Crystal Ball: Forecasts-based on Machine Learning. (2018). Patnam, Manasa ; Jung, Jin-Kyu ; Ter-Martirosyan, Anna. In: IMF Working Papers. RePEc:imf:imfwpa:18/230.

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2018Monitoring Bank Failures in a Data-Rich Environment. (2018). Moran, Kevin ; Gnagne, Jean Armand . In: Cahiers de recherche. RePEc:lvl:crrecr:1815.

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2018Economic Policy Uncertainty in Greece: Measuring Uncertainty for the Greek Macroeconomy. (2018). Fountas, Stilianos ; Tzika, Paraskevi ; Karatasi, Panagiota. In: Discussion Paper Series. RePEc:mcd:mcddps:2018_05.

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2018Efficient generation of time series with diverse and controllable characteristics. (2018). Li, Feng ; Hyndman, Rob ; Kang, Yanfei. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2018-15.

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2018Models with Multiplicative Decomposition of Conditional Variances and Correlations. (2018). Teräsvirta, Timo ; Silvennoinen, Annastiina ; Amado, Cristina ; Terasvirta, Timo. In: NIPE Working Papers. RePEc:nip:nipewp:07/2018.

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2018Balanced Growth Approach to Forecasting Recessions. (2018). Boczon, Marta. In: Working Paper. RePEc:pit:wpaper:6487.

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2018Effective energy commodities’ risk management: Econometric modeling of price volatility. (2018). HALKOS, GEORGE ; Tzirivis, Apostolos. In: MPRA Paper. RePEc:pra:mprapa:90781.

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2018Applications for DSGE Models in Central Banking: Key Issues Explored During Research Workshop of the National Bank of Ukraine. (2018). Kiiashko, Sergii. In: Visnyk of the National Bank of Ukraine. RePEc:ukb:journl:y:2018:i:246:p:4-9.

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2018Big data analytics in economics: What have we learned so far, and where should we go from here?. (2018). Swanson, Norman ; Xiong, Weiqi. In: Canadian Journal of Economics/Revue canadienne d'économique. RePEc:wly:canjec:v:51:y:2018:i:3:p:695-746.

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2018Assessing the uncertainty in central banks inflation outlooks. (2018). Knüppel, Malte ; Schultefrankenfeld, Guido ; Knuppel, Malte. In: Discussion Papers. RePEc:zbw:bubdps:562018.

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Recent citations received in 2017

YearCiting document
2017Inflation, real economic growth and unemployment expectations: An empirical analysis based on the ECB Survey of Professional Forecasters. (2017). Sosvilla-Rivero, Simon ; del Carmen, Mara. In: Working Papers. RePEc:aee:wpaper:1702.

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2017PyCaMa: Python for cash management. (2017). D'Iaz-Garc, Pablo ; Rodr, Juan A ; Salas-Molina, Francisco. In: Papers. RePEc:arx:papers:1702.05005.

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2017A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth. (2017). Cheung, Calista ; Chernis, Tony ; Velasco, Gabriella . In: Discussion Papers. RePEc:bca:bocadp:17-8.

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2017IDENTIFYING US BUSINESS CYCLE REGIMES USING FACTOR AUGMENTED NEURAL NETWORK MODELS. (2017). Soybilgen, Baris . In: Working Papers. RePEc:bli:wpaper:1703.

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2017Leverage and Deepening Business Cycle Skewness. (2017). Santoro, Emiliano ; Ravn, Søren Hove ; Petrella, Ivan ; Jensen, Henrik. In: CEPR Discussion Papers. RePEc:cpr:ceprdp:12239.

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2017Using debit card payments data for nowcasting Dutch household consumption. (2017). Cruijsen, Carin ; Bolt, Wilko ; van der Cruijsen, Carin ; Verbaan, Roy. In: DNB Working Papers. RePEc:dnb:dnbwpp:571.

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2017Robustness of Multistep Forecasts and Predictive Regressions at Intermediate and Long Horizons. (2017). Chevillon, Guillaume. In: ESSEC Working Papers. RePEc:ebg:essewp:dr-17010.

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2017Investors sentiment in predicting the Effective Federal Funds Rate. (2017). Meshcheryakov, Artem ; Ivanov, Stoyu I. In: Economics Bulletin. RePEc:ebl:ecbull:eb-16-00751.

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2017Google It Up! A Google Trends-based Uncertainty index for the United States and Australia. (2017). Castelnuovo, Efrem ; Tran, Trung Duc. In: Economics Letters. RePEc:eee:ecolet:v:161:y:2017:i:c:p:149-153.

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2017How do daily changes in oil prices affect US monthly industrial output?. (2017). Valadkhani, Abbas ; Smyth, Russell. In: Energy Economics. RePEc:eee:eneeco:v:67:y:2017:i:c:p:83-90.

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2017Use of expert knowledge to anticipate the future: Issues, analysis and directions. (2017). Wright, George ; Bolger, Fergus. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:1:p:230-243.

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2017Interpreting estimates of forecast bias. (2017). Ericsson, Neil. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:2:p:563-568.

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2017Real-time inflation forecasting with high-dimensional models: The case of Brazil. (2017). Medeiros, Marcelo. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:3:p:679-693.

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2017A now-casting model for Canada: Do U.S. variables matter?. (2017). Modugno, Michele ; Bragoli, Daniela. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:4:p:786-800.

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2017Business tendency surveys and macroeconomic fluctuations. (2017). Scheufele, Rolf ; Kaufmann, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:4:p:878-893.

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2017Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches. (2017). Yang, KE ; Li, Steven ; Chen, Langnan ; Tian, Fengping. In: International Review of Economics & Finance. RePEc:eee:reveco:v:49:y:2017:i:c:p:276-291.

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2017Enhancing horizon scanning by utilizing pre-developed scenarios: Analysis of current practice and specification of a process improvement to aid the identification of important ‘weak signals’. (2017). Derbyshire, James ; Rowe, Emily ; Wright, George. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:125:y:2017:i:c:p:224-235.

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2017Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data. (2017). Perez, Javier J ; Gil, Mara ; Urtasun, Alberto. In: EcoMod2017. RePEc:ekd:010027:10745.

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2017Call center performance with direct response advertising. (2017). Franses, Philip Hans ; Weverbergh, M ; Calli, Kiygi M. In: Econometric Institute Research Papers. RePEc:ems:eureir:99789.

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2017A dynamic Nelson-Siegel model with forward-looking indicators for the yield curve in the US. (2017). Fernandes, Marcelo ; Chague, Fernando ; Araujo, Fausto Jose . In: Textos para discussão. RePEc:fgv:eesptd:445.

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2017Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter. (2017). Martinez, Andrew. In: Working Papers (Old Series). RePEc:fip:fedcwp:1717.

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2017Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors. (2018). Mertens, Elmar ; McCracken, Michael ; Clark, Todd. In: Working Papers. RePEc:fip:fedcwq:171501.

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2017How Biased Are U.S. Government Forecasts of the Federal Debt?. (2017). Ericsson, Neil. In: International Finance Discussion Papers. RePEc:fip:fedgif:1189.

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2017Macroeconomic nowcasting and forecasting with big data. (2017). Tambalotti, Andrea ; Sbordone, Argia ; Giannone, Domenico ; Bok, Brandyn ; Caratelli, Daniele. In: Staff Reports. RePEc:fip:fednsr:830.

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2017Evaluating Forecasts, Narratives and Policy Using a Test of Invariance. (2017). Martinez, Andrew ; Hendry, David ; Castle, Jennifer. In: Econometrics. RePEc:gam:jecnmx:v:5:y:2017:i:3:p:39-:d:110547.

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2017How Biased Are U.S. Government Forecasts of the Federal Debt?. (2017). Ericsson, Neil. In: Working Papers. RePEc:gwc:wpaper:2017-001.

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2017Predicting the Equity Market with Option Implied Variables. (2017). Prokopczuk, Marcel ; Simen, Chardin Wese ; Tharann, Bjorn. In: Hannover Economic Papers (HEP). RePEc:han:dpaper:dp-619.

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2017A Comparison Study of Copula Models for Europea Financial Index Returns. (2017). Tofoli, Paula V ; Candido, Osvaldo ; Ziegelmann, Flavio A. In: International Journal of Economics and Finance. RePEc:ibn:ijefaa:v:9:y:2017:i:10:p:155-178.

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2017Leverage and Deepening. Business Cycle Skewness. (2017). Santoro, Emiliano ; Ravn, Soren Hove ; Jensen, Henrik. In: Discussion Papers. RePEc:kud:kuiedp:1717.

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2017Forecasting stock market returns by summing the frequency-decomposed parts. (2017). Verona, Fabio ; Faria, Gonalo. In: CEF.UP Working Papers. RePEc:por:cetedp:1702.

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2017Automatic Signal Extraction for Stationary and Non-Stationary Time Series by Circulant SSA. (2017). Poncela, Pilar ; Bogalo, Juan ; Senra, Eva . In: MPRA Paper. RePEc:pra:mprapa:76023.

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2017Model Averaging and its Use in Economics. (2017). Steel, Mark. In: MPRA Paper. RePEc:pra:mprapa:81568.

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2017Normaler Abschwung oder schwere Rezession? Ein neues Modell für die Prognose der Konjunkturphasen in Deutschland. (2017). Wolters, Maik ; Carstensen, Kai. In: IfW-Box. RePEc:zbw:ifwbox:201714.

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2017Systematische Prognosefehler in unterschiedlichen Konjunkturphasen. (2017). Dovern, Jonas ; Jannsen, Nils. In: IfW-Box. RePEc:zbw:ifwbox:201715.

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2017Learning to forecast, risk aversion, and microstructural aspects of financial stability. (2017). Biondo, Alessio Emanuele. In: Economics Discussion Papers. RePEc:zbw:ifwedp:2017104.

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2017Deutsche Konjunktur im Herbst 2017 - Deutsche Wirtschaft nähert sich der Hochkonjunktur. (2017). Wolters, Maik ; Boysen-Hogrefe, Jens ; Kooths, Stefan ; Jannsen, Nils ; Groll, Dominik ; Fiedler, Salomon ; Ademmer, Martin ; Potjagailo, Galina. In: Kieler Konjunkturberichte. RePEc:zbw:ifwkkb:35.

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