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International Journal of Forecasting / Elsevier

Citation Profile [Updated: 2020-06-03 07:38:54]
5 Years H
67
Impact Factor
1.73
5 Years IF
1.55
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 0.08 0.13 0.02 75 75 450 10 10 186 362 6 0 4 0.05 0.04
1991 0.02 0.08 0.11 0.02 62 137 314 15 25 172 3 398 9 0 0 0.04
1992 0.04 0.09 0.07 0.03 90 227 937 16 42 137 5 383 13 0 0 0.04
1993 0.03 0.1 0.07 0.02 79 306 556 20 63 152 4 413 9 0 0 0.05
1994 0.02 0.11 0.06 0.04 70 376 398 23 87 169 3 403 16 0 2 0.03 0.06
1995 0.07 0.2 0.25 0.1 61 437 442 108 196 149 11 376 37 63 58.3 7 0.11 0.08
1996 0.13 0.22 0.35 0.15 65 502 368 172 371 131 17 362 53 91 52.9 2 0.03 0.1
1997 0.09 0.23 0.25 0.13 67 569 1276 141 513 126 11 365 49 54 38.3 11 0.16 0.1
1998 0.1 0.27 0.34 0.14 35 604 685 205 721 132 13 342 49 63 30.7 1 0.03 0.12
1999 0.27 0.29 0.46 0.21 39 643 547 295 1017 102 28 298 62 60 20.3 6 0.15 0.14
2000 0.39 0.34 0.36 0.26 59 702 1068 251 1269 74 29 267 70 80 31.9 6 0.1 0.15
2001 0.27 0.36 0.33 0.28 45 747 493 245 1518 98 26 265 75 70 28.6 13 0.29 0.16
2002 0.31 0.4 0.39 0.39 58 805 527 306 1834 104 32 245 96 87 28.4 34 0.59 0.21
2003 0.46 0.41 0.57 0.46 81 886 748 482 2336 103 47 236 108 149 30.9 15 0.19 0.2
2004 0.4 0.46 0.53 0.45 69 955 1226 498 2842 139 55 282 126 94 18.9 25 0.36 0.21
2005 0.43 0.47 0.79 0.49 67 1022 1223 807 3650 150 65 312 152 105 13 23 0.34 0.22
2006 0.68 0.47 0.93 0.52 63 1085 1371 1003 4659 136 92 320 165 488 48.7 20 0.32 0.21
2007 0.8 0.42 0.68 0.53 63 1148 813 781 5441 130 104 338 179 139 17.8 36 0.57 0.19
2008 1.07 0.45 0.76 0.79 64 1212 1174 917 6364 126 135 343 272 141 15.4 43 0.67 0.21
2009 0.84 0.44 0.73 0.83 72 1284 947 923 7297 127 107 326 272 105 11.4 38 0.53 0.21
2010 0.93 0.44 0.75 0.83 75 1359 689 1001 8311 136 127 329 274 135 13.5 11 0.15 0.18
2011 1.01 0.46 1.03 1 148 1507 1020 1534 9857 147 148 337 336 442 28.8 125 0.84 0.21
2012 0.63 0.47 0.85 0.77 64 1571 1067 1320 11186 223 141 422 324 95 7.2 31 0.48 0.19
2013 0.82 0.53 0.96 0.9 56 1627 634 1544 12740 212 173 423 381 186 12 38 0.68 0.22
2014 1.68 0.55 1.14 1.16 77 1704 1201 1950 14691 120 202 415 481 188 9.6 85 1.1 0.21
2015 1.8 0.55 1.17 1.1 81 1785 567 2085 16780 133 240 420 462 240 11.5 72 0.89 0.21
2016 1.76 0.56 1.3 1.32 102 1887 682 2451 19236 158 278 426 561 330 13.5 126 1.24 0.2
2017 1.34 0.58 1.16 1.51 76 1963 332 2275 21513 183 246 380 575 277 12.2 42 0.55 0.21
2018 1.55 0.7 1.19 1.41 52 2015 177 2386 23907 178 276 392 553 155 6.5 28 0.54 0.28
2019 1.73 0.88 1.42 1.55 128 2143 118 3039 26947 128 221 388 602 487 16 73 0.57 0.33
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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816
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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580
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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527
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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320
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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302
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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293
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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253
81992Error 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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198
92014Electricity 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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191
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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190
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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165
122007Combining 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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155
132004Bridge 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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150
141995Forecasting 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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143
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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139
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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139
172005Forecasting 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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131
182006Modelling and forecasting the diffusion of innovation - A 25-year review. (2006). Islam, Towhidul ; Meade, Nigel. In: International Journal of Forecasting. RePEc:eee:intfor:v:22:y:2006:i:3:p:519-545.

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127
192008Forecasting 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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123
201999The 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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116
212006Judgmental 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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115
22200625 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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108
232014Evaluating early warning indicators of banking crises: Satisfying policy requirements. (2014). Juselius, John ; Drehmann, Mathias. In: International Journal of Forecasting. RePEc:eee:intfor:v:30:y:2014:i:3:p:759-780.

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107
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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105
252000Out-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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103
261993Earnings 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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103
272004Efficient 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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102
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::i:2:p:529-542.

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100
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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99
301992The 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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99
312008Forecasting 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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98
322009Forecasting 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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97
332011MIDAS 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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96
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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95
351997Shorte-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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92
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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92
371987Cointegration 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
381993Reply 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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89
391993Comments on Earnings forecasting research: its implications for capital markets research by L. Brown. (1993). Brown, Philip. In: International Journal of Forecasting. RePEc:eee:intfor:v:9:y:1993:i:3:p:331-335.

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87
401997Forecasting 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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86
412016Probabilistic 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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84
422009Forecasting economic and financial variables with global VARs. (2009). Smith, L. Vanessa ; Schuermann, Til ; Pesaran, M. In: International Journal of Forecasting. RePEc:eee:intfor:v:25:y:2009:i:4:p:642-675.

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83
432009Forecasting 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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81
442011Accuracy, 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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81
452005Forecasting 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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81
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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81
471999Additive outliers, GARCH and forecasting volatility. (1999). Franses, Philip Hans ; Ghijsels, Hendrik. In: International Journal of Forecasting. RePEc:eee:intfor:v:15:y:1999:i:1:p:1-9.

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80
482016Probabilistic 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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80
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:2011:i:2:p:452-465.

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79
502011Calling 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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79
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

269
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

122
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

110
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

102
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

68
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

67
71989Combining forecasts: A review and annotated bibliography. (1989). Clemen, Robert T.. In: International Journal of Forecasting. RePEc:eee:intfor:v:5:y:1989:i:4:p:559-583.

Full description at Econpapers || Download paper

66
82000The 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

61
91998Forecasting 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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57
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

51
112016Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond. (2016). Hyndman, Rob ; Hong, Tao ; Pinson, Pierre ; Troccoli, Alberto ; Zareipour, Hamidreza ; Fan, Shu . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:896-913.

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49
122008Forecasting 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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41
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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40
142002A 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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39
151992Error 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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32
162000Out-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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32
172016Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting. (2016). Gaillard, Pierre ; Nedellec, Raphael ; Goude, Yannig . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1038-1050.

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31
18200625 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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31
192005Forecasting 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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30
202008Forecasting 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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29
211999The 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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29
222017The 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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29
232007Combining 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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28
242003Univariate 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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28
252003Tourism 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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28
262016A hybrid model for GEFCom2014 probabilistic electricity price forecasting. (2016). Nowotarski, Jakub ; Maciejowska, Katarzyna. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1051-1056.

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27
272015Conditional 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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282011Forecasting 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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292008The financial analyst forecasting literature: A taxonomy with suggestions for further research. (2008). Shane, Philip ; Ramnath, Sundaresh ; ROCK, STEVE. In: International Journal of Forecasting. RePEc:eee:intfor:v:24:y:2008:i:1:p:34-75.

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302016Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging. (2016). Weron, Rafał ; Nowotarski, Jakub ; Maciejowska, Katarzyna. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:957-965.

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25
312014Improving 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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322008Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions. (2008). Smith, Michael ; Panagiotelis, Anastasios. In: International Journal of Forecasting. RePEc:eee:intfor:v:24:y:2008:i:4:p:710-727.

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24
332009Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning. (2009). Nikolopoulos, Konstantinos ; Lawrence, Michael ; Fildes, Robert ; Goodwin, Paul. In: International Journal of Forecasting. RePEc:eee:intfor:v:25:y:2009:i:1:p:3-23.

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342005Macro 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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352013Combining 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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362011MIDAS 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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372006Judgmental 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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382011MIDAS vs. mixed-frequency VAR: Nowcasting GDP in the euro area. (2011). Schumacher, Christian ; Marcellino, Massimiliano ; Kuzin, Vladimir . In: International Journal of Forecasting. RePEc:eee:intfor:v:27:y:2011:i:2:p:529-542.

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392004Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood. (2004). Lee, Tae Hwy ; Gonzalez-Rivera, Gloria ; Mishra, Santosh . In: International Journal of Forecasting. RePEc:eee:intfor:v:20:y:2004:i:4:p:629-645.

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402015Do high-frequency financial data help forecast oil prices? The MIDAS touch at work. (2015). Kilian, Lutz ; Guérin, Pierre ; Baumeister, Christiane. In: International Journal of Forecasting. RePEc:eee:intfor:v:31:y:2015:i:2:p:238-252.

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21
412011Quantiles 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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422011Quantiles 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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21
432005Business survey data: Do they help in forecasting GDP growth?. (2005). Jansson, Per ; Lof, Marten. In: International Journal of Forecasting. RePEc:eee:intfor:v:21:y:2005:i:2:p:377-389.

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21
442000The 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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21
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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462011Calling 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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472017Forecasting with VAR models: Fat tails and stochastic volatility. (2017). Pinter, Gabor ; mumtaz, haroon ; Chiu, Ching-Wai (Jeremy). In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:4:p:1124-1143.

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482017Systematic errors in growth expectations over the business cycle. (2017). Jannsen, Nils ; Dovern, Jonas. In: International Journal of Forecasting. RePEc:eee:intfor:v:33:y:2017:i:4:p:760-769.

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492006A 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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502005Odds-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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Citing documents used to compute impact factor: 221
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2019Cross-validation based forecasting method: a machine learning approach. (2019). Marçal, Emerson ; Maral, Emerson Fernandes ; FernandesMaral, Emerson ; Pinto, Jeronymo Marcondes. In: Textos para discussão. RePEc:fgv:eesptd:498.

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2019Higher Moment Constraints for Predictive Density Combinations. (2019). Vasnev, Andrey ; Pauwels, Laurent ; Radchenko, Peter. In: Working Papers. RePEc:syb:wpbsba:2123/20175.

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2019Equivalence of optimal forecast combinations under affine constraints. (2019). Pauwels, Laurent ; Chan, Felix. In: Working Papers. RePEc:syb:wpbsba:2123/20176.

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2019Short-Term Electricity Load Forecasting Model Based on EMD-GRU with Feature Selection. (2019). Gao, Xin ; He, Yang ; Jing, Xiao ; Zhao, Bing ; Li, Xiaobing. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:6:p:1140-:d:216692.

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2019Tales from tails: On the empirical distributions of forecasting errors and their implication to risk. (2019). Assimakopoulos, Vassilios ; Nikolopoulos, Konstantinos ; Spiliotis, Evangelos. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:687-698.

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2019Another look at forecast selection and combination: Evidence from forecast pooling. (2019). Petropoulos, Fotios ; Barrow, Devon ; Kourentzes, Nikolaos. In: International Journal of Production Economics. RePEc:eee:proeco:v:209:y:2019:i:c:p:226-235.

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2019Robust optimization of forecast combinations. (2019). Karabati, Seluk ; Post, Thierry ; Arvanitis, Stelios. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:3:p:910-926.

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2019The wisdom of amateur crowds: Evidence from an online community of sports tipsters. (2019). Reade, J ; Brown, Alasdair. In: European Journal of Operational Research. RePEc:eee:ejores:v:272:y:2019:i:3:p:1073-1081.

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2019Incentive compatibility in prediction markets: Costly actions and external incentives. (2019). Di, Chen ; He, Qi-Ming ; Dimitrov, Stanko. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:351-370.

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2019When are prediction market prices most informative?. (2019). Reade, J ; VaughanWilliams, Leighton ; Brown, Alasdair. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:420-428.

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2019Going with your gut: the (in)accuracy of forecast revisions in a football score prediction game. (2019). Singleton, Carl ; Reade, J ; Brown, Alasdair. In: Economics & Management Discussion Papers. RePEc:rdg:emxxdp:em-dp2019-05.

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2019Rot-Jaune-Verde. Language and Favoritism: Evidence from Swiss Soccer. (2019). Lechner, Michael ; Faltings, Richard ; Krumer, Alex. In: Economics Working Paper Series. RePEc:usg:econwp:2019:15.

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2019Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines. (2019). Singleton, Carl ; Reade, J ; Brown, Alasdair. In: Economics & Management Discussion Papers. RePEc:rdg:emxxdp:em-dp2019-18.

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2019Ignoring millions of Euros: Transfer fees and sunk costs in professional football. (2019). Hackinger, Julian. In: Journal of Economic Psychology. RePEc:eee:joepsy:v:75:y:2019:i:pb:s0167487017307547.

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2019Short term load forecasting based on feature extraction and improved general regression neural network model. (2019). Liang, YI ; Hong, Wei-Chiang ; Niu, Dongxiao. In: Energy. RePEc:eee:energy:v:166:y:2019:i:c:p:653-663.

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2019Unscented Kalman Filter based interval state estimation of cyber physical energy system for detection of dynamic attack. (2019). Cao, Guangzhong ; Fu, Xueqian ; Liu, Yitao ; Meng, Anjian ; Wang, Huaizhi. In: Energy. RePEc:eee:energy:v:188:y:2019:i:c:s036054421931730x.

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2019Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: a General Dynamic Factor Approach. (2019). Valls Pereira, Pedro ; Hotta, Luiz ; Hallin, Marc ; Zevallos, Mauricio ; Trucios-Maza, Carlos Cesar. In: Working Papers ECARES. RePEc:eca:wpaper:2013/288066.

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2019Comparing Forecasts of Extremely Large Conditional Covariance Matrices. (2019). Ruiz, Esther ; Moura, Guilherme. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:29291.

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2019Improving forecasts with the co-range dynamic conditional correlation model. (2019). Fiszeder, Piotr ; Fadziski, Marcin. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:108:y:2019:i:c:s0165188919301356.

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2019On the impact of outlier filtering on the electricity price forecasting accuracy. (2019). Afanasyev, Dmitriy ; Fedorova, Elena A. In: Applied Energy. RePEc:eee:appene:v:236:y:2019:i:c:p:196-210.

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

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2019The Role of Real Estate Uncertainty in Predicting US Home Sales Growth: Evidence from a Quantiles-Based Bayesian Model Averaging Approach. (2019). Wohar, Mark ; GUPTA, RANGAN ; Cepni, Oguzhan. In: Working Papers. RePEc:pre:wpaper:201936.

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2019Variants of Consumption-Wealth Ratios and Predictability of U.S. Government Bond Risk Premia: Old is still Gold. (2019). GUPTA, RANGAN ; Wohar, Mark E ; Cepni, Oguzhan. In: Working Papers. RePEc:pre:wpaper:201912.

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2019Shapley regressions: a framework for statistical inference on machine learning models. (2019). Joseph, Andreas . In: Bank of England working papers. RePEc:boe:boeewp:0784.

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2019Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes. (2019). Swanson, Norman R ; Guney, Ethem I ; Cepni, Oguzhan. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:555-572.

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2019Combining wavelet decomposition with machine learning to forecast gold returns. (2019). Risse, Marian. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:601-615.

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2019Uncertain Kingdom: nowcasting GDP and its revisions. (2018). Miranda-Agrippino, Silvia ; Galvão, Ana ; Galvo, Ana ; Anesti, Nikoleta. In: Bank of England working papers. RePEc:boe:boeewp:0764.

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2019Macroeconomic news and market reaction: Surprise indexes meet nowcasting. (2019). Caruso, Alberto. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1725-1734.

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2019Estimation of Effects of Recent Macroprudential Policies in a Sample of Advanced Open Economies. (2019). Sjberg, Jon Ivar ; Pedersen, Kari ; Nymoen, Ragnar. In: International Journal of Financial Studies. RePEc:gam:jijfss:v:7:y:2019:i:2:p:23-:d:229303.

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2019Modelling and forecasting the dollar-pound exchange rate in the presence of structural breaks. (2019). Castle, Jennifer ; Kurita, Takamitsu. In: Economics Series Working Papers. RePEc:oxf:wpaper:866.

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2019Forecasting retailer product sales in the presence of structural change. (2019). Fildes, Robert ; Huang, Tao ; Soopramanien, Didier. In: European Journal of Operational Research. RePEc:eee:ejores:v:279:y:2019:i:2:p:459-470.

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2019Topologically Mapping the Macroeconomy. (2019). Rudkin, Simon ; Qiu, Wanling ; Dlotko, Pawel. In: Papers. RePEc:arx:papers:1911.10476.

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2019The Knightian Uncertainty Hypothesis: Unforeseeable Change and Muth`s Consistency Constraint in Modeling Aggregate Outcomes. (2019). Johansen, Soren ; Tabor, Morten ; Rahbek, Anders ; Frydman, Roman. In: Working Papers Series. RePEc:thk:wpaper:92.

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2019Forecasting the Term Structure of Interest Rates of the BRICS: Evidence from a Nonparametric Functional Data Analysis. (2019). GUPTA, RANGAN ; Torrent, Hudson S ; Suleman, Tahir ; Caldeira, Joao F. In: Working Papers. RePEc:pre:wpaper:201911.

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2019A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US. (2019). Fernandes, Marcelo ; Vieira, Fausto. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:106:y:2019:i:c:4.

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

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2019Econometrics of valuing income contingent student loans using administrative data: groups of English students. (2019). van der Erve, Laura ; Shephard, Neil ; Britton, Jack. In: IFS Working Papers. RePEc:ifs:ifsewp:19/04.

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2019Stock returns and real growth: A Bayesian nonparametric approach. (2019). Yang, Qiao. In: Journal of Empirical Finance. RePEc:eee:empfin:v:53:y:2019:i:c:p:53-69.

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2019Forecasting of density functions with an application to cross-sectional and intraday returns. (2019). Shang, Han Lin ; Petersen, Alexander ; Miao, Hong ; Kokoszka, Piotr. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1304-1317.

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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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2019Google data in bridge equation models for German GDP. (2019). Gotz, Thomas B ; Knetsch, Thomas A. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:45-66.

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2019Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations. (2019). Claveria, Oscar. In: Journal for Labour Market Research. RePEc:spr:jlabrs:v:53:y:2019:i:1:d:10.1186_s12651-019-0253-4.

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2019Promoting Breast Cancer Screening Take-Ups with Zero Cost: Evidence from an Experiment on Formatting Invitation Letters in Italy. (2019). Corazzini, Luca ; Bertoni, Marco ; Robone, Silvana. In: IZA Discussion Papers. RePEc:iza:izadps:dp12193.

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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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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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2019Computing a Data Dividend. (2019). Bax, Eric. In: Papers. RePEc:arx:papers:1905.01805.

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2019Short-term forecasting of the US unemployment rate. (2019). Maas, Benedikt. In: MPRA Paper. RePEc:pra:mprapa:94066.

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2019Sources and Types of Big Data for Macroeconomic Forecasting. (2019). Me, Philip. In: Working Papers. RePEc:hae:wpaper:2019-3.

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

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2019Income and wealth inequality in Malta: evidence from micro data. (2019). Georgakopoulos, Ilias. In: CBM Working Papers. RePEc:mlt:wpaper:0319.

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2019Comparing Sentiment- and Behavioral-Based Leading Indexes for Industrial Production: When Does Each Fail?. (2019). Schroder, Michael ; Yilmaz, Yunus ; Seip, Knut Lehre. In: Economies. RePEc:gam:jecomi:v:7:y:2019:i:4:p:104-:d:277261.

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2019Nowcasting of the U.S. unemployment rate using Google Trends. (2019). Takeda, Fumiko ; Nagao, Shintaro ; Tanaka, Riku. In: Finance Research Letters. RePEc:eee:finlet:v:30:y:2019:i:c:p:103-109.

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2019Bagged neural networks for forecasting Polish (low) inflation. (2019). Szafranek, Karol. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:3:p:1042-1059.

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2019On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data. (2019). Meyer, Tim. In: The Journal of Real Estate Finance and Economics. RePEc:kap:jrefec:v:58:y:2019:i:3:d:10.1007_s11146-017-9637-9.

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2019Nowcasting and forecasting US recessions: Evidence from the Super Learner. (2019). Maas, Benedikt. In: MPRA Paper. RePEc:pra:mprapa:96408.

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2019The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests. (2019). Wohar, Mark ; Pierdzioch, Christian ; GUPTA, RANGAN ; Vivian, Andrew J. In: Finance Research Letters. RePEc:eee:finlet:v:29:y:2019:i:c:p:315-322.

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2019Cross-country differences in the size of venture capital financing rounds: a machine learning approach. (2019). Taboga, Marco. In: Temi di discussione (Economic working papers). RePEc:bdi:wptemi:td_1243_19.

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2019Data cloning estimation for asymmetric stochastic volatility models. (2019). Veiga, Helena ; de Zea, Patricia ; Marin, Juan Miguel ; Lopes, Maria Helena. In: DES - Working Papers. Statistics and Econometrics. WS. RePEc:cte:wsrepe:28214.

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2019The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades. (2019). Fantazzini, Dean ; Shangina, Tamara. In: MPRA Paper. RePEc:pra:mprapa:95992.

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2019The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades. (2019). Fantazzini, Dean ; Shangina, Tamara. In: Applied Econometrics. RePEc:ris:apltrx:0372.

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2019New perspectives on forecasting inflation in emerging market economies: An empirical assessment. (2019). Martínez García, Enrique ; Duncan, Roberto ; Martinez-Garcia, Enrique. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:3:p:1008-1031.

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2019Point and density forecasts of oil returns: The role of geopolitical risks. (2019). Wong, Wing-Keung ; Plakandaras, Vasilios ; GUPTA, RANGAN. In: Resources Policy. RePEc:eee:jrpoli:v:62:y:2019:i:c:p:580-587.

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2019A Sieve-SMM Estimator for Dynamic Models. (2019). Forneron, Jean-Jacques. In: Papers. RePEc:arx:papers:1902.01456.

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2019Large Bayesian vector autoregressions. (2019). Chan, Joshua. In: CAMA Working Papers. RePEc:een:camaaa:2019-19.

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2019An automated prior robustness analysis in Bayesian model comparison. (2019). Chan, Joshua ; Zhu, Dan ; Jacobi, Liana. In: CAMA Working Papers. RePEc:een:camaaa:2019-45.

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2019Forecasting with instabilities: An application to DSGE models with financial frictions. (2019). Villa, Stefania ; Paccagnini, Alessia ; Cardani, Roberta. In: Journal of Macroeconomics. RePEc:eee:jmacro:v:61:y:2019:i:c:11.

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2019Forecasting with instabilities: an application to DSGE models with financial frictions. (2019). Villa, Stefania ; Paccagnini, Alessia ; Cardani, Roberta. In: Temi di discussione (Economic working papers). RePEc:bdi:wptemi:td_1234_19.

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2019On tail fatness of macroeconomic dynamics. (2019). Liu, Xiaochun. In: Journal of Macroeconomics. RePEc:eee:jmacro:v:62:y:2019:i:c:s0164070418303367.

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2019Inflation expectations in India: Learning from household tendency surveys. (2019). Lahiri, Kajal ; Das, Abhiman ; Zhao, Yongchen. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:3:p:980-993.

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2019Sentiment Indicators Based on a Short Business Tendency Survey. (2019). Suhoy, Tanya ; Roash, Daniel. In: Bank of Israel Working Papers. RePEc:boi:wpaper:2019.11.

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2019Exploring the dynamics of business survey data using Markov models. (2019). Kaniovski (Kaniovskyi), Yuri (Yuriy) ; Holzl, W. In: Computational Management Science. RePEc:spr:comgts:v:16:y:2019:i:4:d:10.1007_s10287-019-00354-4.

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2019Growth prospects, the natural interest rate, and monetary policy. (2019). Wolters, Maik ; Jannsen, Nils ; Gern, Klaus-Jurgen ; Fiedler, Salomon. In: Economics Discussion Papers. RePEc:zbw:ifwedp:201917.

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2019Schätzung von Produktionspotenzial und -lücke: Eine Analyse des EU-Verfahrens und mögliche Verbesserungen. (2019). Kooths, Stefan ; Jannsen, Nils ; Boysen-Hogrefe, Jens ; Stolzenburg, Ulrich ; Rossian, Thies ; Hauber, Philipp ; Carstensen, Kai ; Ademmer, Martin. In: Kieler Beiträge zur Wirtschaftspolitik. RePEc:zbw:ifwkbw:19.

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2019Schätzung von Produktionspotenzial und -lücke: Eine Analyse des EU-Verfahrens und mögliche Verbesserungen. (2019). Stolzenburg, Ulrich ; Rossian, Thies ; Kooths, Stefan ; Jannsen, Nils ; Hauber, Philipp ; Carstensen, Kai ; Boysen-Hogrefe, Jens ; Ademmer, Martin. In: Open Access Publications from Kiel Institute for the World Economy. RePEc:zbw:ifwkie:193965.

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2019High-Frequency Credit Spread Information and Macroeconomic Forecast Revision. (2019). Ka, Kook ; Ioannidis, Christos ; Deschamps, Bruno. In: Working Papers. RePEc:bok:wpaper:1917.

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2019Growth prospects, the natural interest rate, and monetary policy. (2019). Wolters, Maik ; Jannsen, Nils ; Gern, Klaus-Jurgen ; Fiedler, Salomon. In: Economics - The Open-Access, Open-Assessment E-Journal. RePEc:zbw:ifweej:201935.

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2019Prognosen des IfW und tatsächliche Entwicklung im Jahr 2018. (2019). Potjagailo, Galina ; Boysen-Hogrefe, Jens ; Jannsen, Nils. In: IfW-Box. RePEc:zbw:ifwbox:20195.

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2019Prognose und Prognosekorrektur für das Jahr 2019. (2019). Jannsen, Nils. In: IfW-Box. RePEc:zbw:ifwbox:201911.

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2019Uncertainty in Long-Term Macroeconomic Forecasts: Ex post Evaluation of Forecasts by Economics Researchers. (2019). MORIKAWA, MASAYUKI. In: Discussion papers. RePEc:eti:dpaper:19084.

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2019Deutsche Konjunktur im Frühjahr 2019 - Deutsche Konjunktur kühlt ab. (2019). Boysen-Hogrefe, Jens ; Potjagailo, Galina ; Kooths, Stefan ; Jannsen, Nils ; Groll, Dominik ; Fiedler, Salomon ; Ademmer, Martin. In: Kieler Konjunkturberichte. RePEc:zbw:ifwkkb:53.

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2019Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany. (2019). Dopke, Jorg ; Muller, Karsten ; Fritsche, Ulrich. In: Journal of Macroeconomics. RePEc:eee:jmacro:v:62:y:2019:i:c:s0164070418303550.

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2019A new multiscale decomposition ensemble approach for forecasting exchange rates. (2019). Wei, Yunjie ; Wang, Shouyang ; Sun, Shaolong. In: Economic Modelling. RePEc:eee:ecmode:v:81:y:2019:i:c:p:49-58.

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2019A Practical Guide to Harnessing the HAR Volatility Model. (2019). Preve, Daniel ; Clements, Adam. In: NCER Working Paper Series. RePEc:qut:auncer:2019_01.

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2019Forecasting Quarterly Russian GDP Growth with Mixed-Frequency Data. (2019). Mikosch, Heiner ; Solanko, Laura. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:78:y:2019:i:1:p:19-35.

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2019A new approach to dating the reference cycle. (2019). Gómez-Loscos, Ana ; Gadea, María ; Camacho, Maximo ; Gomezloscos, Ana. In: Working Papers. RePEc:bde:wpaper:1914.

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2019The Topology of Time Series: Improving Recession Forecasting from Yield Spreads. (2019). Rudkin, Simon ; Dlotko, Pawel. In: Working Papers. RePEc:swn:wpaper:2019-02.

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2019Regime differences and industry heterogeneity of the volatility transmission from the energy price to the PPI. (2019). Lin, Boqiang ; He, Yongda. In: Energy. RePEc:eee:energy:v:176:y:2019:i:c:p:900-916.

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2019Continuities and Discontinuities in Economic Forecasting. (2019). Sinclair, Tara. In: Working Papers. RePEc:gwc:wpaper:2019-003.

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2019Revisiting the Economic Crisis after a Decade: Statistical and Machine Learning Perspectives. (2019). Kong, Jooan ; Shin, Hee Eun ; Zhang, Jingqian ; Yu, Jiayan. In: Economics and Applied Informatics. RePEc:ddj:fseeai:y:2019:i:2:p:14-19.

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2019Binary Conditional Forecasts. (2019). Owyang, Michael ; McCracken, Michael ; McGillicuddy, Joseph. In: Working Papers. RePEc:fip:fedlwp:2019-029.

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2019Forecasting recessions with time-varying models. (2019). Hwang, Youngjin. In: Journal of Macroeconomics. RePEc:eee:jmacro:v:62:y:2019:i:c:s0164070419300758.

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2019Can we make use of perception of questions easiness in Delphi-like studies? Some results from an experiment with an alternative feedback. (2019). de Carvalho, Daniel Estima ; Spers, Renata Giovinazzo ; Coulter, James Terence ; Kawamoto, Carlos Tadao. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:140:y:2019:i:c:p:296-305.

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2019Expert forecast and realized outcomes in technology foresight. (2019). Fantoni, Gualtiero ; Dell'Orletta, Felice ; Bonaccorsi, Andrea ; Apreda, Riccardo. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:141:y:2019:i:c:p:277-288.

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2019Visualizing the Possibility of Relocation: Coastal Relocation Leaf. (2019). Bukvic, Anamaria . In: Social Sciences. RePEc:gam:jscscx:v:8:y:2019:i:6:p:197-:d:242262.

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2019Scenario analysis to support decision making in addressing wicked problems: Pitfalls and potential. (2019). Goodwin, Paul ; O'Brien, Frances A ; Cairns, George ; Wright, George. In: European Journal of Operational Research. RePEc:eee:ejores:v:278:y:2019:i:1:p:3-19.

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2019Three senses of paradigm in scenario methodology: A preliminary framework and systematic approach for using intuitive logics scenarios to change mental models and improve strategic decision-making in . (2019). Wayland, Rebecca. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:146:y:2019:i:c:p:504-516.

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2019The human factor in supply chain forecasting: A systematic review. (2019). Perera, Niles H ; Reisi, Mohsen ; Fahimnia, Behnam ; Hurley, Jason. In: European Journal of Operational Research. RePEc:eee:ejores:v:274:y:2019:i:2:p:574-600.

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2019Use and misuse of information in supply chain forecasting of promotion effects. (2019). Fildes, Robert ; Onkal, Dilek ; Goodwin, Paul. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:144-156.

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2019Integrating human judgement into quantitative forecasting methods: A review. (2019). Siemsen, Enno ; Reisi, Mohsen ; Fahimnia, Behnam ; Arvan, Meysam . In: Omega. RePEc:eee:jomega:v:86:y:2019:i:c:p:237-252.

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2019Empirical modelling of survey-based expectations for the design of economic indicators in five European regions. (2019). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: Empirica. RePEc:kap:empiri:v:46:y:2019:i:2:d:10.1007_s10663-017-9395-1.

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2019Unemployment expectations: A socio-demographic analysis of the effect of news. (2019). Sorić, Petar ; Lolić, Ivana ; Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: Labour Economics. RePEc:eee:labeco:v:60:y:2019:i:c:p:64-74.

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2019Do spot food commodity and oil prices predict futures prices?. (2019). Riabko, Natalija ; Cartwright, Phillip A. In: Review of Quantitative Finance and Accounting. RePEc:kap:rqfnac:v:53:y:2019:i:1:d:10.1007_s11156-018-0746-1.

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2019Forecasting the Chinese stock volatility across global stock markets. (2019). Zhang, Yaojie ; Ma, Feng ; Liu, Jing. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:525:y:2019:i:c:p:466-477.

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2019Forecasting Realized Volatility of Agricultural Commodities. (2019). Walther, Thomas ; Filis, George ; Degiannakis, Stavros ; Klein, Tony. In: MPRA Paper. RePEc:pra:mprapa:96267.

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2019Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets. (2019). Ma, Feng ; Chen, Yixiang ; Zhang, Yaojie. In: Energy Economics. RePEc:eee:eneeco:v:81:y:2019:i:c:p:52-62.

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2019Improving volatility forecasting based on Chinese volatility index information: Evidence from CSI 300 index and futures markets. (2019). Li, Weiping ; Teng, Yuxin ; Qiao, Gaoxiu ; Liu, Wenwen. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:49:y:2019:i:c:p:133-151.

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2019A Moving Average Heterogeneous Autoregressive Model for Forecasting the Realized Volatility of the US Stock Market: Evidence from Over a Century of Data. (2019). Salisu, Afees ; Ogbonna, Ahamuefula ; GUPTA, RANGAN. In: Working Papers. RePEc:pre:wpaper:201978.

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2019Forecasting Realized Volatility: The role of implied volatility, leverage effect, overnight returns and volatility of realized volatility. (2019). Tsakou, Katerina ; McMillan, David ; Kambouroudis, Dimos. In: Working Papers. RePEc:swn:wpaper:2019-03.

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2019Geopolitical risk and oil volatility: A new insight. (2019). Liu, Jing ; Zhang, Yaojie ; Tang, Yingkai ; Ma, Feng. In: Energy Economics. RePEc:eee:eneeco:v:84:y:2019:i:c:s0140988319303433.

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2019Monthly Forecasting of GDP with Mixed Frequency Multivariate Singular Spectrum Analysis. (2019). Thomakos, Dimitrios ; Silva, Emmanuel Sirimal ; Hassani, Hossein ; Rua, Antonio. In: Working Papers. RePEc:ptu:wpaper:w201913.

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2019Monthly forecasting of GDP with mixed-frequency multivariate singular spectrum analysis. (2019). Thomakos, Dimitrios ; Silva, Emmanuel Sirimal ; Rua, Antonio ; Hassani, Hossein. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1263-1272.

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2019Adaptive learning forecasting, with applications in forecasting agricultural prices. (2019). Guerard, John B ; Thomakos, Dimitrios D ; Kyriazi, Foteini. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1356-1369.

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2019The measurement and transmission of macroeconomic uncertainty: Evidence from the U.S. and BRIC countries. (2019). Sheng, Xuguang Simon ; Liu, Yang. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:3:p:967-979.

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2019Assessing the uncertainty in central banks’ inflation outlooks. (2019). Knüppel, Malte ; Schultefrankenfeld, Guido ; Knuppel, Malte. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1748-1769.

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2019On outcome uncertainty and scoring rates in sport: The case of international rugby union. (2019). Scarf, Phil ; McHale, Ian ; Parma, Rishikesh. In: European Journal of Operational Research. RePEc:eee:ejores:v:273:y:2019:i:2:p:721-730.

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2019A generalized non-linear forecasting model for limited overs international cricket. (2019). McHale, I G ; Asif, M. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:634-640.

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2019Efficiency of online football betting markets. (2019). De Angelis, Luca ; Angelini, Giovanni. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:712-721.

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2019Bayesian forecasting of UEFA Champions League under alternative seeding regimes. (2019). Corona, Francisco ; Wiper, Michael ; Tena, J D ; Forrest, David. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:722-732.

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2019Predictive analysis and modelling football results using machine learning approach for English Premier League. (2019). Kaur, Harleen ; Baboota, Rahul. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:741-755.

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2019Exploiting sports-betting market using machine learning. (2019). Elezn, Filip ; Ourek, Gustav ; Hubaek, Ondej. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:783-796.

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

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2019Forecasting compositional risk allocations. (2019). Boonen, Tim J ; Santolino, Miguel ; Guillen, Montserrat. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:84:y:2019:i:c:p:79-86.

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2019Endogenously (non-)Ricardian beliefs. (2019). Gasteiger, Emanuel ; Branch, William A. In: ECON WPS - Vienna University of Technology Working Papers in Economic Theory and Policy. RePEc:zbw:tuweco:032019.

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2019Representation, estimation and forecasting of the multivariate index-augmented autoregressive model. (2019). Guardabascio, Barbara ; Cubadda, Gianluca. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:67-79.

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2019Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets. (2019). Zhang, Yaojie ; Wahab, M. I. M., ; Ma, Feng. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:54:y:2019:i:c:p:132-146.

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2019Predictive blends: Fundamental Indexing meets Markowitz. (2019). Alexeev, Vitali ; Tapon, Francis ; Pysarenko, Sergiy. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:100:y:2019:i:c:p:28-42.

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2019Estimating monetary policy rules in small open economies. (2019). Browne, Michael ; Lee-Browne, Michael S. In: Working Papers. RePEc:gwc:wpaper:2019-001.

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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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2019Leverage and Deepening Business Cycle Skewness. (2019). Ravn, Søren Hove ; Petrella, Ivan ; Jensen, Henrik ; Santoro, Emiliano. In: EMF Research Papers. RePEc:wrk:wrkemf:21.

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2019Accelerating score-driven time series models. (2019). Koopman, S J ; Gorgi, P ; Blasques, F. In: Journal of Econometrics. RePEc:eee:econom:v:212:y:2019:i:2:p:359-376.

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2019Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model. (2019). Petrella, Ivan ; Delle Monache, Davide ; Venditti, Fabrizio. In: EMF Research Papers. RePEc:wrk:wrkemf:29.

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2019Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model. (2019). Venditti, Fabrizio ; Petrella, Ivan ; delle Monache, Davide. In: CEPR Discussion Papers. RePEc:cpr:ceprdp:14107.

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2019Forecasting economic time series using score-driven dynamic models with mixed-data sampling. (2019). Li, Mengheng ; Koopman, Siem Jan ; Gorgi, Paolo. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1735-1747.

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2019Modeling recovery rate for leveraged loans. (2019). Zhang, Xiangting ; Wang, Gang ; Chen, Xiaowei. In: Economic Modelling. RePEc:eee:ecmode:v:81:y:2019:i:c:p:231-241.

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2019Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach. (2019). Zhang, Tiantian ; Chan, Hing Kai ; Xu, Shuojiang. In: Transportation Research Part E: Logistics and Transportation Review. RePEc:eee:transe:v:122:y:2019:i:c:p:169-180.

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2019Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models. (2019). Wang, Jin-Li ; Zhang, Yue-Jun. In: Energy Economics. RePEc:eee:eneeco:v:78:y:2019:i:c:p:192-201.

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2019TF-MIDAS: a new mixed-frequency model to forecast macroeconomic variables. (2019). Garcia-Hiernaux, Alfredo ; Bonino-Gayoso, Nicolas. In: MPRA Paper. RePEc:pra:mprapa:93366.

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2019Forecasting Swiss Exports Using Bayesian Forecast Reconciliation. (2019). Panagiotelis, Anastasios ; Hyndman, Rob J ; Eckert, Florian. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-14.

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2019Anomaly Detection in High Dimensional Data. (2019). Smith-Miles, Kate ; Hyndman, Rob J ; Talagala, Priyanga Dilini. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-20.

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2019Feature-based Forecast-Model Performance Prediction. (2019). Kang, Yanfei ; Li, Feng ; Talagala, Thiyanga S. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-21.

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2019Cyclical versus Acyclical Inflation: A Deeper Dive. (2019). Zaman, Saeed. In: Economic Commentary. RePEc:fip:fedcec:00105.

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2019Slack and Cyclically Sensitive Inflation. (2019). Watson, Mark ; Stock, James. In: NBER Working Papers. RePEc:nbr:nberwo:25987.

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2019Regularized Estimation of High-dimensional Factor-Augmented Autoregressive (FAVAR) Models. (2019). Michailidis, George ; Lin, Jiahe. In: Papers. RePEc:arx:papers:1912.04146.

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2019Forecasting Russias Key Macroeconomic Indicators with the VAR-LASSO Model. (2019). Polbin, Andrey ; Fokin, Nikita. In: Russian Journal of Money and Finance. RePEc:bkr:journl:v:78:y:2019:i:2:p:67-93.

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2019The effects of oil price volatility on ethanol, gasoline, and sugar price forecasts. (2019). Tapia, Lucio Guido. In: Energy. RePEc:eee:energy:v:181:y:2019:i:c:p:1012-1022.

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2019Penalized Estimation of Panel Vector Autoregressive Models. (2019). Schnucker, A M. In: Econometric Institute Research Papers. RePEc:ems:eureir:122072.

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2019Improving oil price forecasts by sparse VAR methods. (2019). Sion, Sebastian Ruths ; Kruger, Jens . In: Darmstadt Discussion Papers in Economics. RePEc:zbw:darddp:237.

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2019On the informational market efficiency of the worldwide sovereign credit default swaps. (2019). Hmaied, Dorra ; Peretti, Christian ; Sabkha, Saker. In: Journal of Asset Management. RePEc:pal:assmgt:v:20:y:2019:i:7:d:10.1057_s41260-019-00142-4.

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2019Essays on Price Discovery and Volatility Dynamics in Emerging Market Currencies. (2019). Xiao, Ran. In: PhD Thesis. RePEc:uts:finphd:5-2019.

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2019The Effect of Jumps in the Crude Oil Market on the Sovereign Risks of Major Oil Exporters. (2019). Bouri, Elie. In: Risks. RePEc:gam:jrisks:v:7:y:2019:i:4:p:118-:d:293243.

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2019Macroeconomic forecasting for Australia using a large number of predictors. (2019). Hyndman, Rob ; Jiang, Bin ; Athanasopoulos, George ; Panagiotelis, Anastasios ; Vahid, Farshid. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:616-633.

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2019Growth in stress. (2019). Ruiz, Esther ; Gonzalez-Rivera, Gloria ; Maldonado, Javier. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:3:p:948-966.

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2019News-driven inflation expectations and information rigidities. (2019). Thorsrud, Leif ; Larsen, Vegard ; Zhulanova, Julia. In: Working Papers. RePEc:bny:wpaper:0075.

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2019Dutch disease dynamics reconsidered. (2019). Torvik, Ragnar ; Thorsrud, Leif ; Bjørnland, Hilde ; Bjornland, Hilde C. In: European Economic Review. RePEc:eee:eecrev:v:119:y:2019:i:c:p:411-433.

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2019From Transactions Data to Economic Statistics: Constructing Real-Time, High-Frequency, Geographic Measures of Consumer Spending. (2019). Sahm, Claudia R ; Lengermann, Paul ; Feiveson, Laura ; Dunn, Wendy ; Aron-Dine, Shifrah ; Aladangady, Aditya. In: NBER Chapters. RePEc:nbr:nberch:14267.

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2019IMA(1,1) as a new benchmark for forecast evaluation. (2019). Franses, Philip Hans ; P H, . In: Econometric Institute Research Papers. RePEc:ems:eureir:118657.

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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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2019Assessing Nowcast Accuracy of US GDP Growth in Real Time: The Role of Booms and Busts. (2019). Siliverstovs, Boriss. In: Working Papers. RePEc:ltv:wpaper:201901.

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2019A PMI-Based Real GDP Tracker for the Euro Area. (2019). de Bondt, Gabe. In: Journal of Business Cycle Research. RePEc:spr:jbuscr:v:15:y:2019:i:2:d:10.1007_s41549-018-0032-2.

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2019Questioning the news about economic growth: Sparse forecasting using thousands of news-based sentiment values. (2019). Boudt, Kris ; Bluteau, Keven ; Ardia, David. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:4:p:1370-1386.

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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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2019Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them. (2019). Rossi, Barbara. In: Economics Working Papers. RePEc:upf:upfgen:1711.

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2019Bibliometric and text mining approaches to evaluate landfill design standards. (2019). Fallah, Bahareh ; Wai, Kelvin Tsun ; Richter, Amy. In: Scientometrics. RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-019-03011-4.

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2019Can media and text analytics provide insights into labour market conditions in China?. (2019). Liu, Yu-Hsien ; Han, Xinfen ; Thanabalasingam, Sri ; Kruger, Mark ; Bailliu, Jeannine. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:3:p:1118-1130.

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2019Determinants of within and cross-country economic policy uncertainty spillovers: Evidence from US and China. (2019). Nie, HE ; Tian, Gengyu ; Zhu, Zixuan ; Jiang, Yonghong. In: Finance Research Letters. RePEc:eee:finlet:v:31:y:2019:i:c:s1544612319304489.

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2019Modeling stock market volatility using new HAR-type models. (2019). Lin, Boqiang ; Gong, XU. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:516:y:2019:i:c:p:194-211.

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2019Forecasting downside risk in China’s stock market based on high-frequency data. (2019). Xie, Nan ; Gong, XU ; Chen, Sicen ; Wang, Zongrun . In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:517:y:2019:i:c:p:530-541.

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2019The marginal and double threshold effects of regional innovation on energy consumption structure: Evidence from resource-based regions in China. (2019). Deng, Feng ; Hao, Xiaoli. In: Energy Policy. RePEc:eee:enepol:v:131:y:2019:i:c:p:144-154.

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2019Forecasting realized variance using asymmetric HAR model with time-varying coefficients. (2019). Hou, Xinmeng ; Wu, Xinyu. In: Finance Research Letters. RePEc:eee:finlet:v:30:y:2019:i:c:p:89-95.

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2019Incorporating Realized Quarticity into a Realized Stochastic Volatility Model. (2019). Morimoto, Takayuki ; Nugroho, Didit Budi. In: Asia-Pacific Financial Markets. RePEc:kap:apfinm:v:26:y:2019:i:4:d:10.1007_s10690-019-09276-2.

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2019Judgmental forecast adjustments over different time horizons. (2019). Vereecke, Ann ; de Baets, Shari ; van den Broeke, Maud ; Vanderheyden, Karlien ; Baecke, Philippe. In: Omega. RePEc:eee:jomega:v:87:y:2019:i:c:p:34-45.

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2019Measuring Data Uncertainty : An Application using the Bank of England’s “Fan Charts” for Historical GDP Growth. (2019). Mitchell, James ; Galvao, Ana Beatriz. In: EMF Research Papers. RePEc:wrk:wrkemf:24.

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2019Measuring Data Uncertainty: An Application using the Bank of Englands Fan Charts for Historical GDP Growth. (2019). Mitchell, James ; Galvão, Ana ; Galvao, Ana Beatriz. In: Economic Statistics Centre of Excellence (ESCoE) Discussion Papers. RePEc:nsr:escoed:escoe-dp-2019-08.

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2019From fixed-event to fixed-horizon density forecasts: Obtaining measures of multi-horizon uncertainty from survey density forecasts. (2019). Sekhposyan, Tatevik ; Ganics, Gergely ; Rossi, Barbara. In: Economics Working Papers. RePEc:upf:upfgen:1689.

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2019From fixed-event to fixed-horizon density forecasts: obtaining measures of multi-horizon uncertainty from survey density forecasts. (2019). Sekhposyan, Tatevik ; Rossi, Barbara ; Ganics, Gergely. In: Working Papers. RePEc:bde:wpaper:1947.

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2019Bayesian estimation of stable CARMA spot models for electricity prices. (2019). Seibert, Armin ; Muller, Gernot. In: Energy Economics. RePEc:eee:eneeco:v:78:y:2019:i:c:p:267-277.

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2019PENALIZED MAXIMUM LIKELIHOOD ESTIMATION OF LOGIT-BASED EARLY WARNING SYSTEMS. (2019). Pigini, Claudia. In: Working Papers. RePEc:anc:wpaper:441.

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2019Banking crisis prediction with differenced relative credit. (2019). Kauko, Karlo ; Tolo, Eero. In: BoF Economics Review. RePEc:zbw:bofecr:42019.

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2019Crowdsourcing the vote: New horizons in citizen forecasting. (2019). Temporo, Mickael ; van der Linden, Clifton ; Savoie, Justin ; Dufresne, Yannick. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:1-10.

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2019Predicting general election outcomes: campaigns and changing voter knowledge at the 2017 general election in England. (2019). Johnston, Ron ; Pattie, Charles ; Hartman, Todd. In: Quality & Quantity: International Journal of Methodology. RePEc:spr:qualqt:v:53:y:2019:i:3:d:10.1007_s11135-018-0819-1.

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2019Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach. (2019). He, Ling-Yun ; Wang, Zi-Jie ; Liu, Li-Na ; Zhao, Lu-Tao. In: Sustainability. RePEc:gam:jsusta:v:11:y:2019:i:14:p:3892-:d:249220.

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2019Machine learning explainability in finance: an application to default risk analysis. (2019). Sen, Shayak ; Jung, Carsten ; Datta, Anupam ; Bracke, Philippe. In: Bank of England working papers. RePEc:boe:boeewp:0816.

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2019On the Stability and Growth Pact compliance: what is predictable with machine learning?. (2019). Papadimitriou, Theophilos ; Baret, Kea. In: Working Papers of BETA. RePEc:ulp:sbbeta:2019-48.

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2019A re-evaluation of the term spread as a leading indicator. (2019). Plakandaras, Vasilios ; Papadimitriou, Theophilos ; GUPTA, RANGAN ; Gogas, Periklis. In: International Review of Economics & Finance. RePEc:eee:reveco:v:64:y:2019:i:c:p:476-492.

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

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2019Portfolio optimization based on forecasting models using vine copulas: An empirical assessment for the financial crisis. (2019). Stephan, Andreas ; Sahamkhadam, Maziar. In: Papers. RePEc:arx:papers:1912.10328.

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2019Portfolio strategy of International crude oil markets: A study based on multiwavelet denoising-integration MF-DCCA method. (2019). Dai, Yimin ; Wei, YU ; Tang, Yong ; Zhu, Pengfei. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:535:y:2019:i:c:s0378437119314414.

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2019Volatility experience of major world stock markets. (2019). Mallikarjuna, Mejari ; Rao, Prabhakara R. In: Theoretical and Applied Economics. RePEc:agr:journl:v:xxvi:y:2019:i:4(621):p:35-52.

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2019Volatility experience of major world stock markets. (2019). Rao, Prabhakara R ; Mallikarjuna, M. In: Theoretical and Applied Economics. RePEc:agr:journl:v:4(621):y:2019:i:4(621):p:35-52.

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2019Oil price shocks and U.S. economic activity. (2019). Karaki, Mohamad ; Herrera, Ana María ; Rangaraju, Sandeep Kumar . In: Energy Policy. RePEc:eee:enepol:v:129:y:2019:i:c:p:89-99.

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2019Forecasting Daily Crude Oil Prices Using Improved CEEMDAN and Ridge Regression-Based Predictors. (2019). He, Ting ; Wu, Jiang ; Li, Xinsheng ; Zhou, Yingrui. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:19:p:3603-:d:269322.

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2019Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting. (2019). Walther, Thomas ; Bouri, Elie ; Klein, Tony. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:63:y:2019:i:c:s1042443119302446.

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2019Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson‐Siegel Models. (2019). Guidolin, Massimo ; Pedio, Manuela. In: Working Papers. RePEc:igi:igierp:639.

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2019Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models. (2019). Guidolin, Massimo ; Pedio, Manuela. In: BAFFI CAREFIN Working Papers. RePEc:baf:cbafwp:cbafwp19106.

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2019Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models. (2019). Guidolin, Massimo ; Pedio, Manuela. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:107:y:2019:i:c:1.

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2019The evolution of monetary policy effectiveness under macroeconomic instability. (2019). Lopez-Buenache, German. In: Economic Modelling. RePEc:eee:ecmode:v:83:y:2019:i:c:p:221-233.

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2019Climate Transition Risk, Climate Sentiments, and Financial Stability in a Stock-Flow Consistent approach. (2019). Monasterolo, Irene ; Naqvi, Asjad ; Dunz, Nepomuk. In: Ecological Economic Papers. RePEc:wiw:wus045:6911.

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2019An innovative hybrid system for wind speed forecasting based on fuzzy preprocessing scheme and multi-objective optimization. (2019). Li, Ranran ; Yang, Hufang ; Zhu, Zhijie. In: Energy. RePEc:eee:energy:v:174:y:2019:i:c:p:1219-1237.

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2019Retail forecasting: research and practice. (2019). Fildes, Robert ; Kolassa, Stephan ; Ma, Shaohui. In: MPRA Paper. RePEc:pra:mprapa:89356.

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2019Intraday Load Forecasts with Uncertainty. (2019). Fasshauer, Gregory E ; Holladay, Scott ; Kozak, David. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:10:p:1833-:d:231133.

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2019Forecasting Oil Price Using Web-based Sentiment Analysis. (2019). Zhang, Zhi-Gang ; Wang, Wen-Jing ; Zeng, Guan-Rong ; Zhao, Lu-Tao. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:22:p:4291-:d:285712.

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2019
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2019Modelling volatility of cryptocurrencies using Markov-Switching GARCH models. (2019). Caporale, Guglielmo Maria ; Zekokh, Timur. In: Research in International Business and Finance. RePEc:eee:riibaf:v:48:y:2019:i:c:p:143-155.

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2019Regime changes in Bitcoin GARCH volatility dynamics. (2019). Ardia, David ; Ruede, Maxime ; Bluteau, Keven. In: Finance Research Letters. RePEc:eee:finlet:v:29:y:2019:i:c:p:266-271.

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2019Modeling volatility of precious metals markets by using regime-switching GARCH models. (2019). Tiwari, Aviral ; Shahbaz, Muhammad ; Mubashra, Sana ; Naeem, Muhammad. In: Resources Policy. RePEc:eee:jrpoli:v:64:y:2019:i:c:s0301420719303022.

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2019A Test of Using Markov-Switching GARCH Models in Oil and Natural Gas Trading. (2019). Alvarez-Garcia, Jose ; Galeana-Figueroa, Evaristo ; de la Torre-Torres, Oscar V. In: Energies. RePEc:gam:jeners:v:13:y:2019:i:1:p:129-:d:302172.

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2019Modelling Risk on the Egyptian Stock Market: Evidence from a Markov-Regime Switching GARCH Process.. (2019). Ibrahim, Omar. In: MPRA Paper. RePEc:pra:mprapa:98091.

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2019Forecasting daily electricity prices with monthly macroeconomic variables. (2019). Rossini, Luca ; Ravazzolo, Francesco ; Foroni, Claudia. In: Working Paper Series. RePEc:ecb:ecbwps:20192250.

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2019The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis. (2019). GUPTA, RANGAN ; Demirer, Riza ; Mangisa, Siphumlile ; Das, Sonali. In: Structural Change and Economic Dynamics. RePEc:eee:streco:v:50:y:2019:i:c:p:132-147.

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2019Particle filtering, learning, and smoothing for mixed-frequency state-space models. (2019). Yang, Hanlin ; Leippold, Markus. In: Econometrics and Statistics. RePEc:eee:ecosta:v:12:y:2019:i:c:p:25-41.

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2019Interconnectedness and systemic risk network of Chinese financial institutions: A LASSO-CoVaR approach. (2019). He, Yaoyao ; Jiang, Cuixia ; Li, Mengting ; Xu, Qifa. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119312609.

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2019Forecasting crude oil prices with DSGE models. (2019). Rubaszek, Michał. In: GRU Working Paper Series. RePEc:cth:wpaper:gru_2019_024.

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2019Modelling Housing Market Cycles in Global Cities.. (2019). Zanetti Chini, Emilio ; Canepa, Alessandra ; Alqaralleh, Huthaifa. In: Department of Economics and Statistics Cognetti de Martiis. Working Papers. RePEc:uto:dipeco:201901.

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2019Forecasting Corporate Failure in the Chinese Energy Sector: A Novel Integrated Model of Deep Learning and Support Vector Machine. (2019). Fu, Hongyong ; Chen, Wenting ; Pan, Yuchen ; Xu, Wei. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:12:p:2251-:d:239311.

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2019Deviating from Perfect Foresight but not from Theoretical Consistency: The Behavior of Inflation Expectations in Brazil. (2019). Lima, Gilberto ; de Freitas, Leilane. In: Working Papers, Department of Economics. RePEc:spa:wpaper:2019wpecon36.

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

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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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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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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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2019Exploiting sports-betting market using machine learning. (2019). Elezn, Filip ; Ourek, Gustav ; Hubaek, Ondej. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:783-796.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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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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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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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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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2018Competing by investments or efficiency? Exploring financial and sporting efficiency of club ownership structures in European football. (2018). Rohde, Marc ; Breuer, Christoph. In: Sport Management Review. RePEc:eee:spomar:v:21:y:2018:i:5:p:563-581.

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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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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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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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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
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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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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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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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Recent citations received in 2016
YearCiting document
2016Hysteresis and Duration Dependence of Financial Crises in the US: Evidence from 1871-2016. (2016). Menezes, Rui ; Bentes, Sonia . In: Papers. RePEc:arx:papers:1610.00259.

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2016Evaluation of Exchange Rate Point and Density Forecasts: an application to Brazil. (2016). Gaglianone, Wagner ; Terra, Gabriel Jaqueline . In: Working Papers Series. RePEc:bcb:wpaper:446.

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2016Words are the new numbers: A newsy coincident index of business cycles. (2016). Thorsrud, Leif. In: Working Papers. RePEc:bny:wpaper:0044.

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2016Forecasting stock market returns by summing the frequency-decomposed parts. (2016). Verona, Fabio ; Faria, Gonçalo. In: Research Discussion Papers. RePEc:bof:bofrdp:2016_029.

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2016Testing for and estimating structural breaks and other nonlinearities in a dynamic monetary sector. (2016). Ericsson, Neil ; Neil, Ericsson . In: Studies in Nonlinear Dynamics & Econometrics. RePEc:bpj:sndecm:v:20:y:2016:i:4:p:377-398:n:6.

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2016Forecasting stock market returns by summing the frequency-decomposed parts. (2016). Verona, Fabio ; Faria, Gonçalo. In: Working Papers de Economia (Economics Working Papers). RePEc:cap:wpaper:052016.

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2016Testing for News and Noise in Non-Stationary Time Series Subject to Multiple Historical Revisions. (2016). Jacobs, Jan ; Hecq, Alain ; Stamatogiannis, Michalis P. In: CIRANO Working Papers. RePEc:cir:cirwor:2016s-01.

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2016Improving model-based near-term GDP forecasts by subjective forecasts: A real-time exercise for the G7 countries. (2016). Jansen, W. Jos ; de Winter, Jasper. In: DNB Working Papers. RePEc:dnb:dnbwpp:507.

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2016Does joint modelling of the world economy pay off? Evaluating global forecasts from a Bayesian GVAR. (2016). Huber, Florian ; Feldkircher, Martin ; Dovern, Jonas. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:70:y:2016:i:c:p:86-100.

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2016Forecasting crude oil price volatility and value-at-risk: Evidence from historical and recent data. (2016). GUPTA, RANGAN ; Lux, Thomas ; Segnon, Mawuli. In: Energy Economics. RePEc:eee:eneeco:v:56:y:2016:i:c:p:117-133.

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2016An event study analysis of oil and gas firm acreage and reserve acquisitions. (2016). Sabet, Amir H ; Heaney, Richard. In: Energy Economics. RePEc:eee:eneeco:v:57:y:2016:i:c:p:215-227.

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2016On the importance of the long-term seasonal component in day-ahead electricity price forecasting. (2016). Weron, Rafał ; Nowotarski, Jakub. In: Energy Economics. RePEc:eee:eneeco:v:57:y:2016:i:c:p:228-235.

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2016Electricity price forecasting using sale and purchase curves: The X-Model. (2016). Ziel, Florian ; Steinert, Rick. In: Energy Economics. RePEc:eee:eneeco:v:59:y:2016:i:c:p:435-454.

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2016A quantile regression analysis of Chinas provincial CO2 emissions: Where does the difference lie?. (2016). Lin, Boqiang ; Xu, Bin. In: Energy Policy. RePEc:eee:enepol:v:98:y:2016:i:c:p:328-342.

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2016On-line quantile regression in the RKHS (Reproducing Kernel Hilbert Space) for operational probabilistic forecasting of wind power. (2016). Cavalcante, Laura ; Gallego-Castillo, Cristobal ; Bessa, Ricardo ; Lopez-Garcia, Oscar . In: Energy. RePEc:eee:energy:v:113:y:2016:i:c:p:355-365.

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2016Improving short term load forecast accuracy via combining sister forecasts. (2016). Weron, Rafał ; Nowotarski, Jakub ; Hong, Tao ; Liu, Bidong . In: Energy. RePEc:eee:energy:v:98:y:2016:i:c:p:40-49.

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2016Private credit spillovers and economic growth: Evidence from BRICS countries. (2016). Samargandi, Nahla ; Kutan, Ali. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:44:y:2016:i:c:p:56-84.

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2016Eliciting GDP forecasts from the FOMC’s minutes around the financial crisis. (2016). Ericsson, Neil. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:2:p:571-583.

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2016GEFCom2014 probabilistic electric load forecasting using time series and semi-parametric regression models. (2016). Dordonnat, V ; Pierrot, A ; Pichavant, A. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1005-1011.

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2016GEFCom2014 probabilistic electric load forecasting: An integrated solution with forecast combination and residual simulation. (2016). Hong, Tao ; Xie, Jingrui . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1012-1016.

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2016A hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting. (2016). Giasemidis, Georgios ; Haben, Stephen. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1017-1022.

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2016Sequence of nonparametric models for GEFCom2014 probabilistic electric load forecasting. (2016). Shesterneva, Olesya ; Mangalova, Ekaterina . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1023-1028.

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2016Lasso estimation for GEFCom2014 probabilistic electric load forecasting. (2016). Ziel, Florian ; Liu, Bidong . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1029-1037.

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2016Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting. (2016). Gaillard, Pierre ; Nedellec, Raphael ; Goude, Yannig . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1038-1050.

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2016A hybrid model for GEFCom2014 probabilistic electricity price forecasting. (2016). Nowotarski, Jakub ; Maciejowska, Katarzyna. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1051-1056.

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2016Multilayer perceptron for GEFCom2014 probabilistic electricity price forecasting. (2016). Dudek, Grzegorz . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1057-1060.

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2016K-nearest neighbors for GEFCom2014 probabilistic wind power forecasting. (2016). Mangalova, Ekaterina ; Shesterneva, Olesya . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1067-1073.

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2016K-nearest neighbors and a kernel density estimator for GEFCom2014 probabilistic wind power forecasting. (2016). Wang, Jianxue ; Zhang, Yao. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1074-1080.

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2016A semi-empirical approach using gradient boosting and k-nearest neighbors regression for GEFCom2014 probabilistic solar power forecasting. (2016). Huang, Jing ; Perry, Matthew . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1081-1086.

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2016GEFCom2014: Probabilistic solar and wind power forecasting using a generalized additive tree ensemble approach. (2016). Nagy, Gabor I ; Simon, Gabor ; Borbely, Gyula ; Kazi, Sandor ; Barta, Gerg . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1087-1093.

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2016A multiple quantile regression approach to the wind, solar, and price tracks of GEFCom2014. (2016). Juban, Romain ; Kolter, Zico J ; Poirier, Louis ; Ohlsson, Henrik . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:1094-1102.

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2016Electric load forecasting with recency effect: A big data approach. (2016). Hong, Tao ; Wang, PU ; Liu, Bidong . In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:585-597.

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2016Evaluating predictive count data distributions in retail sales forecasting. (2016). Kolassa, Stephan. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:788-803.

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2016Central banks’ forecasts and their bias: Evidence, effects and explanation. (2016). Ladley, Daniel ; Charemza, Wojciech. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:3:p:804-817.

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2016Probabilistic 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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2016Probabilistic 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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2016Forecasting and nowcasting economic growth in the euro area using factor models. (2016). Koopman, Siem Jan ; de Winter, Jasper ; Hindrayanto, Irma. In: International Journal of Forecasting. RePEc:eee:intfor:v:32:y:2016:i:4:p:1284-1305.

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2016The predictive performance of commodity futures risk factors. (2016). Ahmed, Shamim ; Tsvetanov, Daniel . In: Journal of Banking & Finance. RePEc:eee:jbfina:v:71:y:2016:i:c:p:20-36.

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2016When to choose the simple average in forecast combination. (2016). Blanc, Sebastian M ; Setzer, Thomas. In: Journal of Business Research. RePEc:eee:jbrese:v:69:y:2016:i:10:p:3951-3962.

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2016Demand forecasting based on natural computing approaches applied to the foodstuff retail segment. (2016). Veiga, Claudimar Pereirada ; Tortato, Ubirat ; Santos, Leandro Dos ; Puchalski, Weslly ; Pereira, Cssia Rita ; da Veiga, Claudimar Pereira. In: Journal of Retailing and Consumer Services. RePEc:eee:joreco:v:31:y:2016:i:c:p:174-181.

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2016Central bank transparency and the consensus forecast: What does The Economist poll of forecasters tell us?. (2016). trabelsi, emna. In: Research in International Business and Finance. RePEc:eee:riibaf:v:38:y:2016:i:c:p:338-359.

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2016An ICA-based support vector regression scheme for forecasting crude oil prices. (2016). Fan, Liwei ; Li, Huiping ; Pan, Sijia . In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:112:y:2016:i:c:p:245-253.

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2016The Chen-Tindall system and the lasso operator: improving automatic model performance. (2016). Tindall, Michael ; chen, jiaqi. In: Occasional Papers. RePEc:fip:feddop:2016_001.

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2016A Nowcasting Model for Canada: Do U.S. Variables Matter?. (2016). Modugno, Michele ; Bragoli, Daniela. In: Finance and Economics Discussion Series. RePEc:fip:fedgfe:2016-36.

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2016Economic Forecasting in Theory and Practice : An Interview with David F. Hendry. (2016). Ericsson, Neil. In: International Finance Discussion Papers. RePEc:fip:fedgif:1184.

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2016Parametric Density Recalibration of a Fundamental Market Model to Forecast Electricity Prices. (2016). Bello, Antonio ; Muoz, Antonio ; Reneses, Javier ; Bunn, Derek. In: Energies. RePEc:gam:jeners:v:9:y:2016:i:11:p:959-:d:83111.

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2016Accelerated Model Predictive Control for Electric Vehicle Integrated Microgrid Energy Management: A Hybrid Robust and Stochastic Approach. (2016). Sun, Houtao ; Ji, Zhenya ; Xu, Changfu ; Huang, Xueliang. In: Energies. RePEc:gam:jeners:v:9:y:2016:i:11:p:973-:d:83432.

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2016Ensemble Learning Approach for Probabilistic Forecasting of Solar Power Generation. (2016). Mohammed, Azhar Ahmed ; Aung, Zeyar . In: Energies. RePEc:gam:jeners:v:9:y:2016:i:12:p:1017-:d:84169.

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2016Portfolio Decision of Short-Term Electricity Forecasted Prices through Stochastic Programming. (2016). Sanchez, Agustin A ; Contreras, Javier ; Gonzalez, Virginia . In: Energies. RePEc:gam:jeners:v:9:y:2016:i:12:p:1069-:d:85406.

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2016A Hybrid Multi-Step Model for Forecasting Day-Ahead Electricity Price Based on Optimization, Fuzzy Logic and Model Selection. (2016). Song, Yiliao ; Liu, Feng ; Jiang, Ping. In: Energies. RePEc:gam:jeners:v:9:y:2016:i:8:p:618-:d:75382.

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