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Journal of Forecasting / John Wiley & Sons, Ltd.

Citation Profile [Updated: 2023-11-03 08:28:08]
5 Years H Index
42
Impact Factor (IF)
1.1
5 Years IF
0.93
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
1987 0 5 5 0 0
2001 0 0.38 0.26 0 38 43 558 7 18 0 0 0 7 0.18 0.17
2002 0.34 0.41 0.32 0.34 31 74 288 17 42 38 13 38 13 0 4 0.13 0.21
2003 0.45 0.44 0.48 0.45 28 102 462 42 91 69 31 69 31 0 8 0.29 0.22
2004 0.31 0.49 0.39 0.39 35 137 1144 51 144 59 18 97 38 0 9 0.26 0.22
2005 0.92 0.5 0.76 0.78 32 169 442 124 273 63 58 132 103 0 8 0.25 0.23
2006 0.55 0.5 0.61 0.59 33 202 493 121 397 67 37 164 96 0 8 0.24 0.22
2007 0.55 0.46 0.74 0.7 32 234 335 171 571 65 36 159 111 0 1 0.03 0.2
2008 0.6 0.49 0.91 0.77 41 275 1166 245 821 65 39 160 123 0 26 0.63 0.23
2009 1.22 0.47 1.11 1.14 43 318 504 346 1173 73 89 173 198 0 6 0.14 0.24
2010 0.98 0.48 1 0.87 40 358 672 349 1531 84 82 181 157 0 29 0.73 0.21
2011 1.1 0.52 1.07 0.9 36 394 497 413 1951 83 91 189 170 0 12 0.33 0.24
2012 0.91 0.52 0.95 0.75 39 433 274 396 2362 76 69 192 144 0 10 0.26 0.22
2013 0.95 0.56 1.18 1.09 56 489 661 571 2937 75 71 199 217 0 35 0.63 0.24
2014 0.67 0.55 1.07 0.89 43 532 405 565 3504 95 64 214 190 0 22 0.51 0.23
2015 0.84 0.55 0.98 0.97 44 576 321 563 4067 99 83 214 208 0 17 0.39 0.23
2016 0.68 0.53 0.93 0.77 40 616 222 571 4639 87 59 218 167 0 10 0.25 0.21
2017 0.79 0.54 0.98 0.81 67 683 257 667 5306 84 66 222 180 0 1 0.01 0.22
2018 0.51 0.56 0.9 0.79 54 737 321 659 5966 107 55 250 198 0 9 0.17 0.24
2019 0.69 0.58 1.01 0.81 54 791 230 794 6764 121 83 248 201 0 24 0.44 0.23
2020 1.02 0.7 0.93 0.86 83 874 363 815 7579 108 110 259 222 0 38 0.46 0.33
2021 0.93 0.87 0.81 0.79 83 957 170 779 8358 137 128 298 235 0 26 0.31 0.32
2022 1.1 1 0.81 0.93 90 1047 71 844 9202 166 183 341 317 0 24 0.27 0.31
IF: Two years Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for all series in RePEc in year y
CIF: Cumulative impact factor
IF5: Five years Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CIT: Number of citations to papers published in year y
NCI: Number of citations in year y
CCU: Cumulative number of citations to papers published until year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
SC: selft citations in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y
50 most cited documents in this series
#YearTitleCited
12004Combination forecasts of output growth in a seven-country data set. (2004). Watson, Mark ; Stock, James. In: Journal of Forecasting. RePEc:jof:jforec:v:23:y:2004:i:6:p:405-430.

Full description at Econpapers || Download paper

587
22008Forecasting with panel data. (2008). Baltagi, Badi. In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:2:p:153-173.

Full description at Econpapers || Download paper

409
32013Did Unexpectedly Strong Economic Growth Cause the Oil Price Shock of 2003–2008?. (2013). Kilian, Lutz ; Hicks, Bruce . In: Journal of Forecasting. RePEc:wly:jforec:v:32:y:2013:i:5:p:385-394.

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209
42011Forecasting private consumption: survey‐based indicators vs. Google trends. (2011). Vosen, Simeon ; Schmidt, Torsten. In: Journal of Forecasting. RePEc:jof:jforec:v:30:y:2011:i:6:p:565-578.

Full description at Econpapers || Download paper

170
52008Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data. (2008). Diron, Marie. In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:5:p:371-390.

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125
62005Forecasting recessions using the yield curve. (2005). Potter, Simon ; Chauvet, Marcelle. In: Journal of Forecasting. RePEc:jof:jforec:v:24:y:2005:i:2:p:77-103.

Full description at Econpapers || Download paper

122
72007Forecasting German GDP using alternative factor models based on large datasets. (2007). Schumacher, Christian. In: Journal of Forecasting. RePEc:jof:jforec:v:26:y:2007:i:4:p:271-302.

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118
82013The Importance of the Macroeconomic Variables in Forecasting Stock Return Variance: A GARCH‐MIDAS Approach. (2013). Asgharian, Hossein ; Hou, Aijun ; Javed, Farrukh . In: Journal of Forecasting. RePEc:wly:jforec:v:32:y:2013:i:7:p:600-612.

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113
92008How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach. (2008). Ziegler, Christina ; Eickmeier, Sandra. In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:3:p:237-265.

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108
102001Impulse Response Analysis in Vector Autoregressions with Unknown Lag Order.. (2001). Kilian, Lutz. In: Journal of Forecasting. RePEc:jof:jforec:v:20:y:2001:i:3:p:161-79.

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102
112010Combining inflation density forecasts. (2010). Ravazzolo, Francesco ; Kascha, Christian. In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:1-2:p:231-250.

Full description at Econpapers || Download paper

100
122006Evaluating predictive performance of value-at-risk models in emerging markets: a reality check. (2006). SaltoÄŸlu, Burak ; Lee, Tae Hwy ; Bao, Yong. In: Journal of Forecasting. RePEc:jof:jforec:v:25:y:2006:i:2:p:101-128.

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93
132001Evaluating the Predictive Accuracy of Volatility Models.. (2001). Lopez, Jose. In: Journal of Forecasting. RePEc:jof:jforec:v:20:y:2001:i:2:p:87-109.

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91
142010Dynamic probit models and financial variables in recession forecasting. (2010). Nyberg, Henri. In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:1-2:p:215-230.

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90
152010Are disaggregate data useful for factor analysis in forecasting French GDP?. (2010). Barhoumi, Karim ; Ferrara, Laurent ; Darné, Olivier. In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:1-2:p:132-144.

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89
162004Vector smooth transition regression models for US GDP and the composite index of leading indicators. (2004). Camacho, Maximo. In: Journal of Forecasting. RePEc:jof:jforec:v:23:y:2004:i:3:p:173-196.

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89
172006Autoregressive gamma processes. (2006). Jasiak, Joann ; gourieroux, christian. In: Journal of Forecasting. RePEc:jof:jforec:v:25:y:2006:i:2:p:129-152.

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89
182008Single-index and portfolio models for forecasting value-at-risk thresholds. (2008). McAleer, Michael ; da Veiga, Bernardo. In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:3:p:217-235.

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82
192009Short-term forecasting of GDP using large datasets: a pseudo real-time forecast evaluation exercise. (2009). Rua, António ; Rünstler, Gerhard ; Barhoumi, Karim ; Jakaitiene, Audrone ; Reijer, Ard ; Cristadoro, Riccardo ; Benk, Szilard ; Den Reijer, A. ; Jelonek, P. ; Ruth, K. ; Runstler, G. ; Van Nieuwenhuyze, C.. In: Journal of Forecasting. RePEc:jof:jforec:v:28:y:2009:i:7:p:595-611.

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81
202004Forecasting football results and the efficiency of fixed-odds betting. (2004). Goddard, John ; ASIMAKOPOULOS, IOANNIS. In: Journal of Forecasting. RePEc:jof:jforec:v:23:y:2004:i:1:p:51-66.

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81
212014Hierarchical Shrinkage in Time‐Varying Parameter Models. (2014). Koop, Gary ; Korobilis, Dimitris ; Miguel A. G. Belmonte, . In: Journal of Forecasting. RePEc:wly:jforec:v:33:y:2014:i:1:p:80-94.

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81
222003Volatility forecasting for risk management. (2003). Brooks, Chris ; Persand, Gita . In: Journal of Forecasting. RePEc:jof:jforec:v:22:y:2003:i:1:p:1-22.

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81
232008Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model. (2008). McAleer, Michael ; da Veiga, Bernardo. In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:1:p:1-19.

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79
242004Quarterly real GDP estimates for China and ASEAN4 with a forecast evaluation. (2004). Rajaguru, Gulasekaran ; Abeysinghe, Tilak. In: Journal of Forecasting. RePEc:jof:jforec:v:23:y:2004:i:6:p:431-447.

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77
252008Scalar BEKK and indirect DCC. (2008). McAleer, Michael ; Caporin, Massimiliano. In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:6:p:537-549.

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77
262003Selection of Value-at-Risk models. (2003). Thomas, Susan ; Shah, Ajay. In: Journal of Forecasting. RePEc:jof:jforec:v:22:y:2003:i:4:p:337-358.

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69
272003From forecasting to foresight processes-new participative foresight activities in Germany. (2003). Cuhls, Kerstin . In: Journal of Forecasting. RePEc:jof:jforec:v:22:y:2003:i:2-3:p:93-111.

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65
282019Oil financialization and volatility forecast: Evidence from multidimensional predictors. (2019). Pan, Jiaofeng ; Ji, Qiang ; Ma, Yanran. In: Journal of Forecasting. RePEc:wly:jforec:v:38:y:2019:i:6:p:564-581.

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65
292009Forecasting US inflation by Bayesian model averaging. (2009). Wright, Jonathan. In: Journal of Forecasting. RePEc:jof:jforec:v:28:y:2009:i:2:p:131-144.

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60
302002A Threshold Stochastic Volatility Model.. (2002). Lam, K ; Li, W K ; So, Mike K P, . In: Journal of Forecasting. RePEc:jof:jforec:v:21:y:2002:i:7:p:473-500.

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58
312009Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters. (2009). Spann, Martin ; Skiera, Bernd. In: Journal of Forecasting. RePEc:jof:jforec:v:28:y:2009:i:1:p:55-72.

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57
322007The use of monthly indicators to forecast quarterly GDP in the short run: an application to the G7 countries. (2007). Golinelli, Roberto ; Parigi, Giuseppe . In: Journal of Forecasting. RePEc:jof:jforec:v:26:y:2007:i:2:p:77-94.

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56
332001Forecasting with k-Factor Gegenbauer Processes: Theory and Applications.. (2001). GUEGAN, Dominique ; Ferrara, Laurent. In: Journal of Forecasting. RePEc:jof:jforec:v:20:y:2001:i:8:p:581-601.

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55
342004Can out-of-sample forecast comparisons help prevent overfitting?. (2004). Clark, Todd. In: Journal of Forecasting. RePEc:jof:jforec:v:23:y:2004:i:2:p:115-139.

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52
352009How efficient is the European football betting market? Evidence from arbitrage and trading strategies. (2009). Vlastakis, Nikolaos ; Markellos, Raphael ; Dotsis, George. In: Journal of Forecasting. RePEc:jof:jforec:v:28:y:2009:i:5:p:426-444.

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52
362006Building neural network models for time series: a statistical approach. (2006). Teräsvirta, Timo ; Medeiros, Marcelo ; Rech, Gianluigi . In: Journal of Forecasting. RePEc:jof:jforec:v:25:y:2006:i:1:p:49-75.

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49
372007Forecasting the price of crude oil via convenience yield predictions. (2007). Knetsch, Thomas. In: Journal of Forecasting. RePEc:jof:jforec:v:26:y:2007:i:7:p:527-549.

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47
382001A Double-Threshold GARCH Model for the French Franc/Deutschmark Exchange Rate.. (2001). Brooks, Chris. In: Journal of Forecasting. RePEc:jof:jforec:v:20:y:2001:i:2:p:135-43.

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45
392018Forecasting realized volatility of oil futures market: A new insight. (2018). Ma, Feng ; Huang, Dengshi ; Liu, LI ; Wei, YU. In: Journal of Forecasting. RePEc:wly:jforec:v:37:y:2018:i:4:p:419-436.

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45
402010Forecasting macroeconomic variables in a small open economy: a comparison between small- and large-scale models. (2010). Kabundi, Alain ; GUPTA, RANGAN. In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:1-2:p:168-185.

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43
412008Bankruptcy prediction using a discrete-time duration model incorporating temporal and macroeconomic dependencies. (2008). Nam, Chae Woo ; Kim, Tong Suk ; Park, Nam Jung ; Lee, Hoe Kyung . In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:6:p:493-506.

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42
422006The evolution of sales forecasting management: a 20-year longitudinal study of forecasting practices. (2006). Davis, Donna F. ; MCCARTHY, TERESA M. ; Golicic, Susan L. ; Mentzer, John T.. In: Journal of Forecasting. RePEc:jof:jforec:v:25:y:2006:i:5:p:303-324.

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42
432020Is implied volatility more informative for forecasting realized volatility: An international perspective. (2020). Zhang, Yaojie ; Wei, YU ; Liang, Chao. In: Journal of Forecasting. RePEc:wly:jforec:v:39:y:2020:i:8:p:1253-1276.

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42
442002The Performance of Non-linear Exchange Rate Models: A Forecasting Comparison.. (2002). Marrocu, Emanuela ; Boero, Gianna. In: Journal of Forecasting. RePEc:jof:jforec:v:21:y:2002:i:7:p:513-42.

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41
452012The Role of Financial Variables in predicting economic activity. (2012). Lombardi, Marco ; Fornari, Fabio ; Espinoza, Raphael. In: Journal of Forecasting. RePEc:wly:jforec:v:31:y:2012:i:1:p:15-46.

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41
462015Predicting Recessions with Leading Indicators: Model Averaging and Selection over the Business Cycle. (2015). Berge, Travis. In: Journal of Forecasting. RePEc:wly:jforec:v:34:y:2015:i:6:p:455-471.

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40
472004Finding good predictors for inflation: a Bayesian model averaging approach. (2004). Karlsson, Sune ; Jacobson, Tor. In: Journal of Forecasting. RePEc:jof:jforec:v:23:y:2004:i:7:p:479-496.

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38
482010Forecast accuracy and economic gains from Bayesian model averaging using time-varying weights. (2010). Verbeek, Marno ; van Dijk, Herman ; Ravazzolo, Francesco ; Kleijn, Richard ; Hoogerheide, Lennart. In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:1-2:p:251-269.

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38
492010Do experts adjustments on model-based SKU-level forecasts improve forecast quality?. (2010). Franses, Philip Hans ; Legerstee, Rianne . In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:3:p:331-340.

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38
502011Bootstrap prediction bands for forecast paths from vector autoregressive models. (2011). Staszewska-Bystrova, Anna ; StaszewskaBystrova, Anna . In: Journal of Forecasting. RePEc:jof:jforec:v:30:y:2011:i:8:p:721-735.

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36
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12004Combination forecasts of output growth in a seven-country data set. (2004). Watson, Mark ; Stock, James. In: Journal of Forecasting. RePEc:jof:jforec:v:23:y:2004:i:6:p:405-430.

Full description at Econpapers || Download paper

87
257
32008Forecasting with panel data. (2008). Baltagi, Badi. In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:2:p:153-173.

Full description at Econpapers || Download paper

57
441
52011Forecasting private consumption: survey‐based indicators vs. Google trends. (2011). Vosen, Simeon ; Schmidt, Torsten. In: Journal of Forecasting. RePEc:jof:jforec:v:30:y:2011:i:6:p:565-578.

Full description at Econpapers || Download paper

40
628
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825
925
1020
112005Forecasting recessions using the yield curve. (2005). Potter, Simon ; Chauvet, Marcelle. In: Journal of Forecasting. RePEc:jof:jforec:v:24:y:2005:i:2:p:77-103.

Full description at Econpapers || Download paper

20
122009Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters. (2009). Spann, Martin ; Skiera, Bernd. In: Journal of Forecasting. RePEc:jof:jforec:v:28:y:2009:i:1:p:55-72.

Full description at Econpapers || Download paper

20
1319
1418
1518
1617
172006Autoregressive gamma processes. (2006). Jasiak, Joann ; gourieroux, christian. In: Journal of Forecasting. RePEc:jof:jforec:v:25:y:2006:i:2:p:129-152.

Full description at Econpapers || Download paper

16
1816
1915
2015
212009How efficient is the European football betting market? Evidence from arbitrage and trading strategies. (2009). Vlastakis, Nikolaos ; Markellos, Raphael ; Dotsis, George. In: Journal of Forecasting. RePEc:jof:jforec:v:28:y:2009:i:5:p:426-444.

Full description at Econpapers || Download paper

14
2214
232010Are disaggregate data useful for factor analysis in forecasting French GDP?. (2010). Barhoumi, Karim ; Ferrara, Laurent ; Darné, Olivier. In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:1-2:p:132-144.

Full description at Econpapers || Download paper

14
242003Volatility forecasting for risk management. (2003). Brooks, Chris ; Persand, Gita . In: Journal of Forecasting. RePEc:jof:jforec:v:22:y:2003:i:1:p:1-22.

Full description at Econpapers || Download paper

14
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2612
2711
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2911
3011
312010Combining inflation density forecasts. (2010). Ravazzolo, Francesco ; Kascha, Christian. In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:1-2:p:231-250.

Full description at Econpapers || Download paper

11
322008How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach. (2008). Ziegler, Christina ; Eickmeier, Sandra. In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:3:p:237-265.

Full description at Econpapers || Download paper

11
332003Selection of Value-at-Risk models. (2003). Thomas, Susan ; Shah, Ajay. In: Journal of Forecasting. RePEc:jof:jforec:v:22:y:2003:i:4:p:337-358.

Full description at Econpapers || Download paper

11
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3511
3611
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382004Vector smooth transition regression models for US GDP and the composite index of leading indicators. (2004). Camacho, Maximo. In: Journal of Forecasting. RePEc:jof:jforec:v:23:y:2004:i:3:p:173-196.

Full description at Econpapers || Download paper

10
392010Dynamic probit models and financial variables in recession forecasting. (2010). Nyberg, Henri. In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:1-2:p:215-230.

Full description at Econpapers || Download paper

10
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4110
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432008Forecasting ability of GARCH vs Kalman filter method: evidence from daily UK time-varying beta. (2008). Wu, Hao ; Choudhry, Taufiq. In: Journal of Forecasting. RePEc:jof:jforec:v:27:y:2008:i:8:p:670-689.

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9
449
452006Building neural network models for time series: a statistical approach. (2006). Teräsvirta, Timo ; Medeiros, Marcelo ; Rech, Gianluigi . In: Journal of Forecasting. RePEc:jof:jforec:v:25:y:2006:i:1:p:49-75.

Full description at Econpapers || Download paper

9
462003From forecasting to foresight processes-new participative foresight activities in Germany. (2003). Cuhls, Kerstin . In: Journal of Forecasting. RePEc:jof:jforec:v:22:y:2003:i:2-3:p:93-111.

Full description at Econpapers || Download paper

9
472004Forecasting football results and the efficiency of fixed-odds betting. (2004). Goddard, John ; ASIMAKOPOULOS, IOANNIS. In: Journal of Forecasting. RePEc:jof:jforec:v:23:y:2004:i:1:p:51-66.

Full description at Econpapers || Download paper

9
482006Garch forecasting performance under different distribution assumptions. (2006). Wilhelmsson, Anders. In: Journal of Forecasting. RePEc:jof:jforec:v:25:y:2006:i:8:p:561-578.

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8
498
508
Citing documents used to compute impact factor: 183
YearTitle
2022Ask Who, Not What: Bitcoin Volatility Forecasting with Twitter Data. (2021). Kaempf, Killian ; Erkul, Mert ; Akbiyik, Eren M ; Antulov-Fantulin, Nino ; Vasiliauskaite, Vaiva. In: Papers. RePEc:arx:papers:2110.14317.

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2022Do COVID-19 Incidence and Government Intervention Influence Media Indices?. (2022). Kapar, Burcu ; Buigut, Steven. In: Bulletin of Applied Economics. RePEc:rmk:rmkbae:v:9:y:2022:i:2:p:79-100.

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2022Economic policy uncertainty and bankruptcy filings. (2022). Drogovoz, Pavel ; Ledyaeva, Svetlana ; Fedorova, Elena ; Nevredinov, Alexandr. In: International Review of Financial Analysis. RePEc:eee:finana:v:82:y:2022:i:c:s1057521922001375.

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2022Relationship between the news-based categorical economic policy uncertainty and US GDP: A mixed-frequency Granger-causality analysis. (2022). Pan, Zhigang ; Wang, LU ; Xu, Pengfei ; Hong, Yanran. In: Finance Research Letters. RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322002641.

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2022The world uncertainty index and GDP growth rate. (2022). Gao, Fumin ; Liu, NA. In: Finance Research Letters. RePEc:eee:finlet:v:49:y:2022:i:c:s1544612322003609.

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2022The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting. (2022). Pérez, Javier ; Mueller, Hannes ; Molina Sánchez, Luis ; Diakonova, Marina ; Rauh, Cristopher ; Perez, Javier J. In: Working Papers. RePEc:bde:wpaper:2232.

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2022The Role of the Monthly ENSO in Forecasting the Daily Baltic Dry Index. (2022). Rossini, Luca ; Gupta, Rangan ; Bouri, Elie. In: Working Papers. RePEc:pre:wpaper:202229.

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2022Coronavirus Disease 2019 and the Global Economy. (2022). YILMAZKUDAY, HAKAN. In: Working Papers. RePEc:fiu:wpaper:2202.

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2022Coronavirus disease 2019 and the global economy. (2022). YILMAZKUDAY, HAKAN. In: Transport Policy. RePEc:eee:trapol:v:120:y:2022:i:c:p:40-46.

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2022Macroeconomic News and Exchange Rates: Exploring the Role of Order Flow. (2022). Rashid, Abdul ; Jabeen, Munazza. In: Global Journal of Emerging Market Economies. RePEc:sae:emeeco:v:14:y:2022:i:2:p:222-245.

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2022Informativeness of trades around macroeconomic announcements in the foreign exchange market. (2022). Gau, Yin-Feng ; Wu, Zhen-Xing. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:78:y:2022:i:c:s1042443122000245.

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

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2022Financial turbulence, systemic risk and the predictability of stock market volatility. (2022). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza. In: Global Finance Journal. RePEc:eee:glofin:v:52:y:2022:i:c:s1044028322000011.

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2022Fundamentals, regimes and exchange rate forecasts: Insights from a meta exchange rate model. (2022). Lee, Kevin ; Shields, Kalvinder ; Aristidou, Chrystalleni. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:123:y:2022:i:c:s0261560622000043.

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2022A novel seasonal fractional grey model for predicting electricity demand: A case study of Zhejiang in China. (2022). Zhang, Zhiwei ; Li, Hailin ; Zhou, Wenhao. In: Mathematics and Computers in Simulation (MATCOM). RePEc:eee:matcom:v:200:y:2022:i:c:p:128-147.

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2022Forecasting: theory and practice. (2022). Shang, Han Lin ; Rubaszek, Michał ; Martinez, Andrew ; Grossi, Luigi ; Franses, Philip Hans ; Fiszeder, Piotr ; Clements, Michael ; Castle, Jennifer ; Carnevale, Claudio ; Kolassa, Stephan ; Thorarinsdottir, Thordis ; Guo, Xiaojia ; Reade, James J ; Petropoulos, Fotios ; Nikolopoulos, Konstantinos ; Koehler, Anne B ; Thomakos, Dimitrios ; Browell, Jethro ; Rapach, David E ; Modis, Theodore ; Kang, Yanfei ; Tashman, Len ; Boylan, John E ; Gunter, Ulrich ; Ramos, Patricia ; Ellison, Joanne ; Meeran, Sheik ; Richmond, Victor ; Talagala, Thiyanga S ; Bijak, Jakub ; Guidolin, Massimo ; Pinson, Pierre ; Dokumentov, Alexander ; Jeon, Jooyoung ; Bessa, Ricardo J ; Pedregal, Diego J ; de Baets, Shari ; Ziel, Florian ; Syntetos, Aris A ; Bergmeir, Christoph
2022The role of expectations for currency crisis dynamics - the case of the Turkish lira. (2022). Beckmann, Joscha ; Czudaj, Robert L. In: MPRA Paper. RePEc:pra:mprapa:114963.

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2022Analysts versus the Random Walk in Financial Forecasting: Evidence from the Czech National Bank’s Financial Market Inflation Expectations Survey. (2022). Österholm, Pär ; Osterholm, Par ; Kladivko, Kamil. In: Working Papers. RePEc:hhs:oruesi:2022_014.

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2022Short-term Prediction of Bank Deposit Flows: Do Textual Features matter?. (2022). Anastasiou, Dimitris ; Katsafados, Apostolos. In: MPRA Paper. RePEc:pra:mprapa:111418.

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

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2022American options and stochastic interest rates. (2022). Rotondi, Francesco ; Battauz, Anna. In: Computational Management Science. RePEc:spr:comgts:v:19:y:2022:i:4:d:10.1007_s10287-022-00427-x.

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

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2022The power of investors’ optimism and pessimism in oil market forecasting. (2022). Mishra, Tapas ; Parhi, Mamata ; Maaitah, Ahmad ; Mustanen, Dmitri. In: Energy Economics. RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322004091.

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2022Influence of Car Configurator Webpage Data from Automotive Manufacturers on Car Sales by Means of Correlation and Forecasting. (2022). Martin, Alexandre Lerma ; Cardona, Xavier Vilasis ; Garcia, Juan Manuel. In: Forecasting. RePEc:gam:jforec:v:4:y:2022:i:3:p:34-653:d:860486.

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2022The merits of a sentiment analysis of antecedent comments for the prediction of online fundraising outcomes. (2022). Wu, Yenchun Jim ; Guo, Lihuan ; Wang, Wei. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521005023.

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2022Detecting accounting fraud in companies reporting under US GAAP through data mining. (2022). Papík, Mário ; Papikova, Lenka. In: International Journal of Accounting Information Systems. RePEc:eee:ijoais:v:45:y:2022:i:c:s1467089522000112.

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2022Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium?sized enterprises. (2022). Papik, Mario ; Papikova, Lenka. In: Intelligent Systems in Accounting, Finance and Management. RePEc:wly:isacfm:v:29:y:2022:i:4:p:254-281.

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2022.

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2022Stablecoins versus traditional cryptocurrencies in response to interbank rates. (2022). , Quan ; Anh, Thu Thi ; Nguyen, Thanh Cong ; Vu, Thai. In: Finance Research Letters. RePEc:eee:finlet:v:47:y:2022:i:pb:s1544612322000654.

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2022.

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2022Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat. (2022). Zhang, Yun ; Xu, Xiaojie. In: Intelligent Systems in Accounting, Finance and Management. RePEc:wly:isacfm:v:29:y:2022:i:3:p:169-181.

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2022Monetary policy, financial shocks and economic activity. (2022). Malliaris, Anastasios ; Evgenidis, Anastasios. In: Review of Quantitative Finance and Accounting. RePEc:kap:rqfnac:v:59:y:2022:i:2:d:10.1007_s11156-022-01045-z.

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2022The commercial bank leverage factor in U.S. asset prices. (2022). Mihai, Marius M. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:86:y:2022:i:c:p:156-171.

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2022Asymmetric conjugate priors for large Bayesian VARs. (2022). Chan, Joshua. In: Quantitative Economics. RePEc:wly:quante:v:13:y:2022:i:3:p:1145-1169.

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2022The Estimation of the Long-Term Agricultural Output with a Robust Machine Learning Prediction Model. (2022). Lin, Wen-Shin ; Leu, Yungho ; Kuan, Chin-Hung ; Lee, Chien-Pang . In: Agriculture. RePEc:gam:jagris:v:12:y:2022:i:8:p:1075-:d:869234.

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2022Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility). (2022). Nielsen, Joshua ; Karmakar, Sayar ; Gupta, Rangan ; Gabauer, David. In: Working Papers. RePEc:pre:wpaper:202228.

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2022Price effects after one-day abnormal returns in developed and emerging markets: ESG versus traditional indices. (2022). GUPTA, RANGAN ; Ji, Qiang ; Bouri, Elie ; Plastun, Alex. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:59:y:2022:i:c:s1062940821001789.

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2022Evolving United States stock market volatility: The role of conventional and unconventional monetary policies. (2022). GUPTA, RANGAN ; Balcilar, Mehmet ; Ji, Qiang ; Plakandaras, Vasilios. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:60:y:2022:i:c:s1062940822000249.

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2022Co-Movement, Portfolio Diversification, Investors’ Behavior and Psychology: Evidence from Developed and Emerging Countries’ Stock Markets. (2022). Tabash, Mosab I ; Islam, Md Aminul ; Sahabuddin, Mohammad ; Rahman, Md Mizanur ; Akter, Rozina ; Anagreh, Suhaib. In: JRFM. RePEc:gam:jjrfmx:v:15:y:2022:i:8:p:319-:d:868696.

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2022US Monetary Policy and BRICS Stock Market Bubbles. (2022). Nielsen, Joshua ; Nel, Jacobus ; Gupta, Rangan. In: Working Papers. RePEc:pre:wpaper:202243.

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2022Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods. (2022). Sahiner, Mehmet. In: SN Business & Economics. RePEc:spr:snbeco:v:2:y:2022:i:10:d:10.1007_s43546-022-00329-9.

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2022A connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy. (2022). Hamori, Shigeyuki ; Zhang, Yulian. In: Economic Analysis and Policy. RePEc:eee:ecanpo:v:76:y:2022:i:c:p:182-203.

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

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2022Evaluation of VaR and CVaR for the makespan in interval valued blocking job shops. (2022). Sama, Marcella ; Pranzo, Marco ; Meloni, Carlo. In: International Journal of Production Economics. RePEc:eee:proeco:v:247:y:2022:i:c:s0925527322000482.

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2022Forecasting World Trade Using Big Data and Machine Learning Techniques. (2022). Kattenberg, Mark ; Hendriks, Bram ; Elbourne, Adam ; Dubovik, Andrei. In: CPB Discussion Paper. RePEc:cpb:discus:441.

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2022Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression. (2022). Wang, Yudong ; Xiao, Jihong. In: Energy. RePEc:eee:energy:v:241:y:2022:i:c:s0360544221027663.

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2022Oil price volatility forecasts: What do investors need to know?. (2022). Filis, George ; Degiannakis, Stavros. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:123:y:2022:i:c:s026156062100245x.

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

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2022Testing oil price volatility during Covid-19: Global economic impact. (2022). Chang, Lei ; Baloch, Zulfiqar Ali ; Saydaliev, Hayot Berk ; Hyder, Mansoor ; Dilanchiev, Azer. In: Resources Policy. RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003361.

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2022Reconciled Estimates of Monthly GDP in the US. (2022). Poon, Aubrey ; Mitchell, James ; McIntyre, Stuart ; Koop, Gary. In: Working Papers. RePEc:fip:fedcwq:93615.

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2022Estimation of large dimensional time varying VARs using copulas. (2022). Tsionas, Mike ; Trapani, Lorenzo ; Izzeldin, Marwan. In: European Economic Review. RePEc:eee:eecrev:v:141:y:2022:i:c:s0014292121002439.

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2022Variational Bayesian inference for network autoregression models. (2022). Koch, Thorsten ; Chen, Ying ; Lai, Wei-Ting. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:169:y:2022:i:c:s0167947321002401.

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

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2022Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility. (2022). Yu, Xuewen ; Chan, Joshua. In: Journal of Economic Dynamics and Control. RePEc:eee:dyncon:v:143:y:2022:i:c:s0165188922002093.

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2022Forecasting Multivariate Volatilities with Exogenous Predictors: An Application to Industry Diversification Strategies. (2022). Demirer, Riza ; Gupta, Rangan ; Cepni, Oguzhan ; Luo, Jiawen. In: Working Papers. RePEc:pre:wpaper:202258.

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2022Estimating the Risk of Financial Distress Using a Multi-Layered Governance Criterion: Insights from Middle Eastern and North African Banks. (2022). Elbendary, Israa ; Marie, Mohamed ; Gerged, Ali Meftah. In: JRFM. RePEc:gam:jjrfmx:v:15:y:2022:i:12:p:588-:d:996239.

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

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2022The Evaluation of Mean-Detrended Cross-Correlation Analysis Portfolio Strategy for Multiple risk Assets. (2022). Chen, Zhonglu ; Zhang, Linlin ; Wu, XU. In: Evaluation Review. RePEc:sae:evarev:v:46:y:2022:i:2:p:138-164.

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2022Forecasting the volatility of the German stock market: New evidence. (2022). Zhang, Yaojie ; Liang, Chao. In: Applied Economics. RePEc:taf:applec:v:54:y:2022:i:9:p:1055-1070.

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2022Forecasting stock market volatility using commodity futures volatility information. (2022). Guo, Xiaozhu ; Liu, Guangqiang. In: Resources Policy. RePEc:eee:jrpoli:v:75:y:2022:i:c:s030142072100489x.

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2022Uncertainty and oil volatility: Evidence from shrinkage method. (2022). Li, Pan ; Ma, Feng ; He, Xiaofeng ; Wang, Jiqian. In: Resources Policy. RePEc:eee:jrpoli:v:75:y:2022:i:c:s0301420721004906.

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

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

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

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2022News sentiment and stock return: Evidence from managers’ news coverages. (2022). Xu, Yongan ; Liang, Chao. In: Finance Research Letters. RePEc:eee:finlet:v:48:y:2022:i:c:s154461232200215x.

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

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

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2022Forecasting the Chinese low-carbon index volatility. (2022). Li, Yan ; Luo, Qin ; Zhao, Chenchen ; Mei, Dexiang. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001805.

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

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

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2022Jumps in stock prices: New insights from old data. (2022). Paye, Bradley S ; Medeiros, Marcelo C ; Johnson, James A. In: Journal of Financial Markets. RePEc:eee:finmar:v:60:y:2022:i:c:s1386418122000039.

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2022.

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

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2022Comparison of risk forecasts for cryptocurrencies: A focus on Range Value at Risk. (2022). Muller, Fernanda Maria ; Santos, Samuel Solgon ; Gossling, Thalles Weber ; Righi, Marcelo Brutti. In: Finance Research Letters. RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322001878.

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2022Evaluation of the credibility of the Brazilian inflation targeting system using mixed causal-noncausal models. (2022). Hecq, Alain ; Voisin, Elisa ; Issler, Joao. In: Papers. RePEc:arx:papers:2205.00924.

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2022Robust beta regression modeling with errors-in-variables: a Bayesian approach and numerical applications. (2022). Liu, Shuangzhe ; Leiva, Victor ; Bayes, Cristian L ; Figueroa-Zuiga, Jorge I. In: Statistical Papers. RePEc:spr:stpapr:v:63:y:2022:i:3:d:10.1007_s00362-021-01260-1.

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2022.

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2022News and intraday jumps: Evidence from regularization and class imbalance. (2022). Poli, Francesco ; Caporin, Massimiliano. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:62:y:2022:i:c:s1062940822000900.

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2022Financial Stability Surveillance Tools: Evaluating the Performance of Stress Indices. (2022). Chiyaba, Grivas ; Mtwaepelo, Kaelo. In: Economics Discussion Papers. RePEc:rdg:emxxdp:em-dp2022-06.

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

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2022Oil tail-risk forecasts: from financial crisis to COVID-19. (2022). Kuang, Wei. In: Risk Management. RePEc:pal:risman:v:24:y:2022:i:4:d:10.1057_s41283-022-00100-2.

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2022Bayesian Testing of Granger Causality in Functional Time Series. (2022). Sikaria, Shubhangi ; Majumdar, Anandamayee ; Sen, Rituparna. In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:20:y:2022:i:1:d:10.1007_s40953-022-00306-x.

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

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

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

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

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2022The driving forces of green bond market volatility and the response of the market to the COVID-19 pandemic. (2022). Liu, Min. In: Economic Analysis and Policy. RePEc:eee:ecanpo:v:75:y:2022:i:c:p:288-309.

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

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

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

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2022A regime-switching real-time copula GARCH model for optimal futures hedging. (2022). Lee, Chien-Chiang. In: International Review of Financial Analysis. RePEc:eee:finana:v:84:y:2022:i:c:s1057521922003453.

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2022ROC approach to forecasting recessions using daily yield spreads. (2022). Yang, Cheng ; Lahiri, Kajal. In: Business Economics. RePEc:pal:buseco:v:57:y:2022:i:4:d:10.1057_s11369-022-00287-y.

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2022Risk transmission from the oil market to Islamic and conventional banks in oil-exporting and oil-importing countries. (2022). Brooks, Robert ; Mohsen, Mohammed Sharaf ; Hasanov, Akram Shavkatovich ; Tanin, Tauhidul Islam. In: Energy Economics. RePEc:eee:eneeco:v:115:y:2022:i:c:s0140988322005187.

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

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

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

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2022Macroeconomic attention and stock market return predictability. (2022). Huang, Dengshi ; Liu, Jia ; Lu, Xinjie ; Ma, Feng. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:79:y:2022:i:c:s104244312200083x.

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

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

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2022How does the COVID-19 outbreak affect the causality between gold and the stock market? New evidence from the extreme Granger causality test. (2022). Hong, Yanran ; Ma, Feng ; Wang, LU ; Liang, Chao. In: Resources Policy. RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003051.

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

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2022Dynamic asymmetric impact of equity market uncertainty on energy markets: A time-varying causality analysis. (2022). Zhang, Yaojie ; Ye, Xiaoqing ; Wang, LU ; Hong, Yanran. In: Renewable Energy. RePEc:eee:renene:v:196:y:2022:i:c:p:535-546.

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2022Category-specific EPU indices, macroeconomic variables and stock market return predictability. (2022). Li, Pan ; Dong, Dayong ; Lu, Xinjie ; Zeng, Qing. In: International Review of Financial Analysis. RePEc:eee:finana:v:84:y:2022:i:c:s1057521922003039.

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

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2022Dynamic risks from climate policy uncertainty: A case study for the natural gas market. (2022). Lei, Juan ; Zeng, Qing ; Liu, Guangqiang. In: Resources Policy. RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004573.

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

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

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2022Investor sentiment and machine learning: Predicting the price of Chinas crude oil futures market. (2022). Zhang, Lin ; Wen, BO ; Owen, B ; Jiang, Zhe. In: Energy. RePEc:eee:energy:v:247:y:2022:i:c:s0360544222003747.

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2022Evaluating the performance of futures hedging using factors-driven realized volatility. (2022). Zhang, Nan ; Gong, Xue ; Li, Yanyan ; Yu, Xing. In: International Review of Financial Analysis. RePEc:eee:finana:v:84:y:2022:i:c:s1057521922003623.

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2022Exploring the causal links between investor sentiment and financial instability: A dynamic macro-financial analysis. (2022). Sahut, Jean-Michel ; Ayadi, Rim ; Nakhli, Mohamed Sahbi ; Gaies, Brahim. In: Journal of Economic Behavior & Organization. RePEc:eee:jeborg:v:204:y:2022:i:c:p:290-303.

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2022GAS and GARCH based value-at-risk modeling of precious metals. (2022). Tiwari, Aviral ; Owusu Junior, Peterson ; Asafo-Adjei, Emmanuel ; Tweneboah, George. In: Resources Policy. RePEc:eee:jrpoli:v:75:y:2022:i:c:s0301420721004645.

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2022Cryptocurrency policy uncertainty and gold return forecasting: A dynamic Occams window approach. (2022). Chen, Yongfei ; Wei, YU ; Shang, Yue. In: Finance Research Letters. RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004482.

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2022Special issue: ends of eras and new beginnings: twenty-first century challenges for shipping. (2022). Thanopoulou, Helen ; Strandenes, Siri Pettersen ; Kavussanos, Manolis . In: Maritime Economics & Logistics. RePEc:pal:marecl:v:24:y:2022:i:2:d:10.1057_s41278-021-00207-5.

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2022Static Hedging of Freight Risk under Model Uncertainty. (2022). Papayiannis, Georgios I. In: Papers. RePEc:arx:papers:2207.00862.

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2022A hedging policy for seaborne forward freight markets based on probabilistic forecasts. (2022). Sel, Burakhan ; Minner, Stefan. In: Transportation Research Part E: Logistics and Transportation Review. RePEc:eee:transe:v:166:y:2022:i:c:s1366554522002587.

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2022Modeling the Yield Curve of BRICS Countries: Parametric vs. Machine Learning Techniques. (2022). Resta, Marina ; Castello, Oleksandr. In: Risks. RePEc:gam:jrisks:v:10:y:2022:i:2:p:36-:d:743852.

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

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2022Exchange Rate and Stock Price Nexus: Evidence from Ghana. (2022). Arhenful, Peter ; Fosu, Richard ; Owusu-Mensah, Mathew. In: Journal of Social and Development Sciences. RePEc:rnd:arjsds:v:12:y:2022:i:4:p:9-15.

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2022Renewable energy and portfolio volatility spillover effects of GCC oil exporting countries. (2022). Simshauer, Paul ; Polinori, Paolo ; D'Errico, Maria Chiara ; Bigerna, Simona. In: MPRA Paper. RePEc:pra:mprapa:114164.

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

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2022Global financial cycle and the predictability of oil market volatility: Evidence from a GARCH-MIDAS model. (2022). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza. In: Energy Economics. RePEc:eee:eneeco:v:108:y:2022:i:c:s0140988322001128.

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2022The role of global economic policy uncertainty in predicting crude oil futures volatility: Evidence from a two-factor GARCH-MIDAS model. (2022). Dai, Peng-Fei ; Xiong, Xiong ; Zhang, Jin ; Zhou, Wei-Xing. In: Resources Policy. RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722002951.

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2022Do precious metals hedge crude oil volatility jumps?. (2022). Basu, Sankarshan ; Kumar, Surya Bhushan ; Bhatia, Vaneet ; Das, Debojyoti. In: International Review of Financial Analysis. RePEc:eee:finana:v:83:y:2022:i:c:s1057521922002150.

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

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2022Economic drivers of volatility and correlation in precious metal markets. (2022). Nguyen, Duc Khuong ; Goutte, Stéphane ; Walther, Thomas ; Dinh, Theu. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:28:y:2022:i:c:s240585132100074x.

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2022Common Drivers of Commodity Futures?. (2022). Walther, Thomas ; Nguyen, Duc Khuong ; Klein, Tony ; Dudda, Tom. In: Working Papers. RePEc:use:tkiwps:2207.

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2022.

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2022Financial distress prediction by combining sentiment tone features. (2022). Liang, Changyong ; Wang, Zhao ; Xu, Kai ; Zhao, Shuping ; Chen, BO ; Lu, Wenxing. In: Economic Modelling. RePEc:eee:ecmode:v:106:y:2022:i:c:s0264999321002984.

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2022A credit scoring model based on the Myers–Briggs type indicator in online peer-to-peer lending. (2022). Sohn, So Young ; Woo, Hyunwoo. In: Financial Innovation. RePEc:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-022-00347-4.

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2022Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal. (2022). Cifuentes-Faura, Javier ; Simionescu, Mihaela. In: Journal of Policy Modeling. RePEc:eee:jpolmo:v:44:y:2022:i:1:p:1-21.

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2022Exploring the predictability of cryptocurrencies via Bayesian hidden Markov models. (2022). Piliouras, Georgios ; Leonardos, Stefanos ; Koki, Constandina. In: Research in International Business and Finance. RePEc:eee:riibaf:v:59:y:2022:i:c:s0275531921001756.

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

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2022Power system load forecasting using mobility optimization and multi-task learning in COVID-19. (2022). Zhang, Wei ; Yu, Xiaoyong ; Liang, Shuo ; Zhou, KE ; Wang, Jiaqi ; Fan, Xianhao ; Liu, Jiefeng. In: Applied Energy. RePEc:eee:appene:v:310:y:2022:i:c:s0306261921015622.

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2022Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies. (2022). Tiwari, Aviral ; Abakah, Emmanuel ; Dwumfour, Richard Adjei ; Gabauer, David ; Aikins, Emmanuel Joel. In: Global Finance Journal. RePEc:eee:glofin:v:51:y:2022:i:c:s1044028321000909.

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

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2022Quantifying the asymmetric spillovers in sustainable investments. (2022). Suleman, Muhammed Tahir ; Naeem, Muhammad Abubakr ; Iqbal, Najaf. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:77:y:2022:i:c:s1042443121001864.

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2022Connectedness of stock markets with gold and oil: New evidence from COVID-19 pandemic. (2022). el Omari, Salaheddine ; Benlagha, Noureddine. In: Finance Research Letters. RePEc:eee:finlet:v:46:y:2022:i:pb:s1544612321003755.

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2022Interconnectedness and Nonlinearity in Indian Energy Futures During the COVID-19 Pandemic. (2022). Mishra, Pramod Kumar ; Behera, Chinmaya. In: Energy RESEARCH LETTERS. RePEc:ayb:jrnerl:56.

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2022Volatility transmission and volatility impulse response functions in the main and the satellite Renminbi exchange rate markets. (2022). Tsang, Andrew ; Funke, Michael ; Loermann, Julius. In: Review of International Economics. RePEc:bla:reviec:v:30:y:2022:i:2:p:606-628.

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2022Factor volatility spillover and its implications on factor premia. (2022). Shi, Huai-Long ; Zhou, Wei-Xing. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:80:y:2022:i:c:s1042443122001068.

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2022Dynamic connectedness in non-ferrous commodity markets: Evidence from India using TVP-VAR and DCC-GARCH approaches. (2022). Ghate, Kshitish ; Mishra, Aswini Kumar. In: Resources Policy. RePEc:eee:jrpoli:v:76:y:2022:i:c:s030142072200023x.

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2022Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach. (2022). Hamori, Shigeyuki ; He, Xie ; Zhang, Wenting. In: International Review of Financial Analysis. RePEc:eee:finana:v:83:y:2022:i:c:s1057521922001843.

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2022Dynamic spillovers between U.S. climate policy uncertainty and global foreign exchange markets: the pass-through effect of crude oil prices. (2022). Li, Xin. In: Letters in Spatial and Resource Sciences. RePEc:spr:lsprsc:v:15:y:2022:i:3:d:10.1007_s12076-022-00318-4.

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2022Risk connectedness between energy and stock markets: Evidence from oil importing and exporting countries. (2022). Lucey, Brian M ; Naeem, Muhammad Abubakr ; Karim, Sitara ; Benlagha, Noureddine ; Vigne, Samuel A. In: Energy Economics. RePEc:eee:eneeco:v:115:y:2022:i:c:s0140988322004777.

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

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2022Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?. (2022). Wang, LU ; Wu, Jiangbin ; Cao, Yang ; Hong, Yanran. In: Energy Economics. RePEc:eee:eneeco:v:111:y:2022:i:c:s0140988322002237.

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2022A volatility model based on adaptive expectations: An improvement on the rational expectations model. (2022). Li, Yan ; Zhao, Yang ; Yao, Yuan. In: International Review of Financial Analysis. RePEc:eee:finana:v:82:y:2022:i:c:s1057521922001636.

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2022Do output gap estimates improve inflation forecasts in Slovakia?. (2022). Ostapenko, Nataliia. In: Working and Discussion Papers. RePEc:svk:wpaper:1088.

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

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2022Effects of economic policy uncertainty: A regime switching connectedness approach. (2022). Yu, Xiaojian ; Zhang, Jiewen ; Lien, Donald. In: Economic Modelling. RePEc:eee:ecmode:v:113:y:2022:i:c:s0264999322001250.

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2022The determinants of cross-border bond risk premia. (2022). Zhang, Weiguo ; Ge, Futing. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:81:y:2022:i:c:s1042443122001524.

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2022What Drives the Relationship Between Export Upgrading and Growth? The Role of Human Capital, Institutional Quality, and Economic Development. (2022). Saafi, Sami ; Nouira, Ridha. In: Journal of the Knowledge Economy. RePEc:spr:jknowl:v:13:y:2022:i:3:d:10.1007_s13132-021-00788-9.

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

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2022Unidirectional and bidirectional LSTM models for edge weight predictions in dynamic cross-market equity networks. (2022). Senthilkumar, Arunachalam ; Bhattacharjee, Biplab. In: International Review of Financial Analysis. RePEc:eee:finana:v:84:y:2022:i:c:s1057521922003349.

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2022A Comprehensive Study of Market Prediction from Efficient Market Hypothesis up to Late Intelligent Market Prediction Approaches. (2022). Aminimehr, Amirhossein ; Raoofi, Ali. In: Computational Economics. RePEc:kap:compec:v:60:y:2022:i:2:d:10.1007_s10614-022-10283-1.

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2022.

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2022On the volatility of cryptocurrencies. (2022). Stengos, Thanasis ; Papapanagiotou, Georgios ; Panagiotidis, Theodore. In: Working Papers. RePEc:gue:guelph:2022-02.

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2022Cryptocurrency trading: a comprehensive survey. (2022). Kanthan, Leslie ; Basios, Michail ; Ventre, Carmine ; Fang, Fan ; Li, Lingbo ; Wu, Fan ; Martinez-Rego, David. In: Financial Innovation. RePEc:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-021-00321-6.

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2022Bitcoin volatility predictability–The role of jumps and regimes. (2022). Li, Ziyang ; Ma, Feng ; Wang, Jiqian ; Qian, Lihua. In: Finance Research Letters. RePEc:eee:finlet:v:47:y:2022:i:pb:s1544612322000162.

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2022On the volatility of cryptocurrencies. (2022). Stengos, Thanasis ; Papapanagiotou, Georgios ; Panagiotidis, Theodore. In: Research in International Business and Finance. RePEc:eee:riibaf:v:62:y:2022:i:c:s027553192200112x.

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2022Time–frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic. (2022). Cui, Jinxin ; Maghyereh, Aktham. In: Financial Innovation. RePEc:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-022-00395-w.

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

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

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2022Bitcoin Prices and the Realized Volatility of US Sectoral Stock Returns. (2022). Salisu, Afees ; GUPTA, RANGAN ; Bouri, Elie. In: Working Papers. RePEc:pre:wpaper:202224.

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2022Oil shocks and volatility of green investments: GARCH-MIDAS analyses. (2022). Ogbonna, Ahamuefula ; Yaya, Olaoluwa S ; Vo, Xuan Vinh. In: MPRA Paper. RePEc:pra:mprapa:113707.

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2022Oil shocks and volatility of green investments: GARCH-MIDAS analyses. (2022). Ogbonna, Ahamuefula E ; Yaya, Olaoluwa S ; Vo, Xuan Vinh. In: Resources Policy. RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722002379.

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2022The outbreak of COVID-19 and stock market liquidity: Evidence from emerging and developed equity markets. (2022). Gil-Alana, Luis Alberiko ; Karikari, Nana Kwasi ; Aikins, Emmanuel Joel ; Tiwari, Aviral Kumar. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:62:y:2022:i:c:s1062940822000857.

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

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

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

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

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

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

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2022Forecasting crude oil volatility with uncertainty indicators: New evidence. (2022). Umar, Muhammad ; Chen, Zhonglu ; Liang, Chao. In: Energy Economics. RePEc:eee:eneeco:v:108:y:2022:i:c:s0140988322001141.

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

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2022Does golds hedging uncertainty aura fade away?. (2022). Moldovan, Nicoleta-Claudia ; Lobon, Oana-Ramona ; Umar, Muhammad ; Pang, Lidong ; Su, Chi-Wei. In: Resources Policy. RePEc:eee:jrpoli:v:77:y:2022:i:c:s030142072200174x.

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2022Will Gold Always Shine amid World Uncertainty?. (2022). Lobon, Oana-Ramona ; Umar, Muhammad ; Pang, Lidong ; Su, Chi-Wei. In: Emerging Markets Finance and Trade. RePEc:mes:emfitr:v:58:y:2022:i:12:p:3425-3438.

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2022Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA. (2022). Bellos, Sotirios K ; Gkasis, Pavlos ; Golitsis, Petros. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:63:y:2022:i:c:s1062940822001255.

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

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

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2022Spectral estimation for mixed causal-noncausal autoregressive models. (2022). Hecq, Alain ; Velasquez-Gaviria, Daniel. In: Papers. RePEc:arx:papers:2211.13830.

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2022Implementing in-situ self-organizing maps with memristor crossbar arrays for data mining and optimization. (2022). Lu, Jian ; Wei, Jinsong ; Zhang, Xumeng ; Shi, Tuo ; Wang, Rui ; Liu, Ming ; Wu, Zuheng ; Zhu, Jiaxue. In: Nature Communications. RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29411-4.

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2022Impact of sovereign credit ratings on systemic risk and the moderating role of regulatory reforms: An international investigation. (2022). Qureshi, Anum ; Rizwan, Muhammad Suhail ; Sahibzada, Irfan Ullah. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:145:y:2022:i:c:s0378426622002345.

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

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2022Macroeconomic Forecasting Using Filtered Signals from a Stock Market Cross Section. (2022). Stalla-Bourdillon, Arthur ; Chinn, Menzie ; Chatelais, Nicolas. In: Working papers. RePEc:bfr:banfra:903.

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

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2022Nowcasting GDP using machine learning methods. (2022). Kant, Dennis ; Pick, Andreas ; de Winter, Jasper. In: Working Papers. RePEc:dnb:dnbwpp:754.

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2022Time-varying risk aversion and renminbi exchange rate volatility: Evidence from CARR-MIDAS model. (2022). Zhang, Huanming ; Xie, Haibin ; Wu, Xinyu. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:61:y:2022:i:c:s1062940822000559.

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2022Economic policy uncertainty and stock market sector time-varying spillover effect: Evidence from China. (2022). Peng, Yongxin ; Dai, Zhifeng. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:62:y:2022:i:c:s1062940822000936.

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2022Measuring the impact of digital exchange cyberattacks on Bitcoin Returns. (2022). Ah, Seung ; Milunovich, George. In: Economics Letters. RePEc:eee:ecolet:v:221:y:2022:i:c:s0165176522003676.

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2022Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method. (2022). Chevallier, Julien ; Wei, Yigang ; Qin, Haotong ; Wang, Huiwen ; Huang, Wenyang. In: Energy Economics. RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322002171.

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2022A novel framework for carbon price forecasting with uncertainties. (2022). Tian, Lixin ; Zhu, Mengrui ; Wang, Minggang. In: Energy Economics. RePEc:eee:eneeco:v:112:y:2022:i:c:s0140988322003164.

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2022Chinas urban-rural inequality caused by carbon neutrality: A perspective from carbon footprint and decomposed social welfare. (2022). Liu, YU ; Wen, Shiyan ; Jia, Zhijie. In: Energy Economics. RePEc:eee:eneeco:v:113:y:2022:i:c:s0140988322003437.

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

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

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

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

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

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2022Delta-hedging demand and intraday momentum: Evidence from China. (2022). Li, Xiang ; Yuan, Xianghui. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:600:y:2022:i:c:s0378437122003624.

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2022Uncover the response of the U.S grain commodity market on El Niño–Southern Oscillation. (2022). Zeng, Qing ; Zhang, LI ; Liang, Chao ; Su, Yuandong. In: International Review of Economics & Finance. RePEc:eee:reveco:v:81:y:2022:i:c:p:98-112.

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2022Forecasting power load: A hybrid forecasting method with intelligent data processing and optimized artificial intelligence. (2022). Leng, Mingming ; Yang, Xinyu ; Dai, Yeming. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:182:y:2022:i:c:s0040162522003821.

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2022Testing the Forecasting Power of Global Economic Conditions for the Volatility of International REITs using a GARCH-MIDAS Approach. (2022). Salisu, Afees ; GUPTA, RANGAN ; Bouri, Elie. In: Working Papers. RePEc:pre:wpaper:202211.

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2022The Effects of Conventional and Unconventional Monetary Policy Shocks on US REITs Moments: Evidence from VARs with Functional Shocks. (2022). Cepni, Oguzhan ; Bonato, Matteo ; Gupta, Rangan ; Wang, Shixuan. In: Working Papers. RePEc:pre:wpaper:202219.

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2022Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium?sized enterprises. (2022). Papik, Mario ; Papikova, Lenka. In: Intelligent Systems in Accounting, Finance and Management. RePEc:wly:isacfm:v:29:y:2022:i:4:p:254-281.

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Recent citations received in 2021
YearCiting document
2021Bayesian Testing Of Granger Causality In Functional Time Series. (2021). Sikaria, Shubhangi ; Majumdar, Anandamayee ; Sen, Rituparna. In: Papers. RePEc:arx:papers:2112.15315.

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2021Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis. (2021). Pattnaik, Debidutta ; Lim, Weng Marc ; Kumar, Satish ; Goodell, John W. In: Journal of Behavioral and Experimental Finance. RePEc:eee:beexfi:v:32:y:2021:i:c:s2214635021001210.

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2021Realized skewness and the short-term predictability for aggregate stock market volatility. (2021). Wang, Yudong ; Zhang, Yaojie ; He, Mengxi. In: Economic Modelling. RePEc:eee:ecmode:v:103:y:2021:i:c:s0264999321002030.

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2021Economic policy uncertainty and stock market returns: New evidence. (2021). Liang, Chao ; Chen, Zhonglu ; Wang, Jianqiong ; Xu, Yongan. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:58:y:2021:i:c:s1062940821001418.

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2021Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting. (2021). Lee, Chien-Chiang ; Liu, Min. In: Energy Economics. RePEc:eee:eneeco:v:103:y:2021:i:c:s0140988321004874.

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2021Which clean energy sectors are attractive? A portfolio diversification perspective. (2021). Kuang, Wei. In: Energy Economics. RePEc:eee:eneeco:v:104:y:2021:i:c:s0140988321005028.

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2021Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic. (2021). Lu, Tuantuan ; Wei, YU ; Tang, Yong ; Zhu, Pengfei. In: Energy. RePEc:eee:energy:v:231:y:2021:i:c:s036054422101197x.

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2021Global equity market volatilities forecasting: A comparison of leverage effects, jumps, and overnight information. (2021). Wei, YU ; Ma, Feng ; Li, Yan ; Liang, Chao. In: International Review of Financial Analysis. RePEc:eee:finana:v:75:y:2021:i:c:s1057521921000922.

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2021Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?. (2021). Ma, Feng ; Wang, LU ; Gao, Xinxin ; Hao, Jianyang. In: International Review of Financial Analysis. RePEc:eee:finana:v:76:y:2021:i:c:s1057521921000983.

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2021Firm-specific news and the predictability of Consumer stocks in Vietnam. (2021). Salisu, Afees ; Vo, Xuan Vinh. In: Finance Research Letters. RePEc:eee:finlet:v:41:y:2021:i:c:s1544612320316159.

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2021Liquidity and short-run predictability: Evidence from international stock markets. (2021). Newaz, Mohammad Khaleq ; Park, Jin Suk. In: Global Finance Journal. RePEc:eee:glofin:v:50:y:2021:i:c:s1044028321000715.

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

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2021Return connectedness among commodity and financial assets during the COVID-19 pandemic: Evidence from China and the US. (2021). Liang, Chao ; Wei, YU ; Bai, Lan. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s030142072100180x.

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2021Chinas coal consumption forecasting using adaptive differential evolution algorithm and support vector machine. (2021). Dunnan, Liu ; Xiaofeng, XU ; Yuansheng, Huang ; Mengshu, Shi. In: Resources Policy. RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420721002981.

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2021New York FED Staff Nowcasts and Reality: What Can We Learn about the Future, the Present, and the Past?. (2021). Siliverstovs, Boriss. In: Econometrics. RePEc:gam:jecnmx:v:9:y:2021:i:1:p:11-:d:511974.

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2021.

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2021.

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2021.

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2021.

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2021IMPACT DE LA CRISE SANITAIRE SUR LES ENTREPRENEURS AYANT SUBI UNE LIQUIDATION JUDICIAIRE Etude dimpact 2020 de lassociation 60 000 REBONDS. (2021). Desmaison, Gerard. In: Post-Print. RePEc:hal:journl:hal-03418337.

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2021The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment. (2021). Wang, Yue ; Shen, Xiaohong. In: Discrete Dynamics in Nature and Society. RePEc:hin:jnddns:5049179.

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2021Demand forecasting: an alternative approach based on technical indicator Pbands. (2021). Kljuenikov, Aleksandr ; Kolkova, Andrea. In: Oeconomia Copernicana. RePEc:pes:ieroec:v:12:y:2021:i:4:p:1063-1094.

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2021An Information-Based Index of Uncertainty and the predictability of Energy Prices. (2021). Ogbonna, Ahamuefula ; Yaya, Olaoluwa S ; Olubusoye, Olusanya E. In: MPRA Paper. RePEc:pra:mprapa:109839.

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2021Thirteen years of Operations Management Research (OMR) journal: a bibliometric analysis and future research directions. (2021). Frederico, Guilherme F ; Nasrallah, Nohade ; Atayah, Osama F ; Dhiaf, Mohamed M. In: Operations Management Research. RePEc:spr:opmare:v:14:y:2021:i:3:d:10.1007_s12063-021-00199-8.

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Recent citations received in 2020
YearCiting document
2020Time-Varying Spillovers between Currency and Stock Markets in the USA: Historical Evidence From More than Two Centuries. (2020). Hkiri, Besma ; Gupta, Rangan ; Coronado, Semei ; Rojas, Omar. In: Advances in Decision Sciences. RePEc:aag:wpaper:v:24:y:2020:i:4:p:44-76.

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2020Temperature Anomalies, Long Memory, and Aggregation. (2020). Vera-Valdes, Eduardo J. In: CREATES Research Papers. RePEc:aah:create:2020-16.

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2020Time-Varying Spillovers between Currency and Stock Markets in the USA: Historical Evidence From More than Two Centuries. (2020). Gupta, Rangan ; Coronado, Semei ; Rojas, Omar ; Hkiri, Besma. In: International Association of Decision Sciences. RePEc:ahq:wpaper:v:24:y:2020:i:4:p:44-76.

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2020Nested Model Averaging on Solution Path for High-dimensional Linear Regression. (2020). Liu, Qingfeng ; Feng, Yang. In: Papers. RePEc:arx:papers:2005.08057.

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

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2020The role of global economic policy uncertainty in predicting crude oil futures volatility: Evidence from a two-factor GARCH-MIDAS model. (2020). Zhou, Wei-Xing ; Xiong, Xiong ; Dai, Peng-Fei. In: Papers. RePEc:arx:papers:2007.12838.

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2020Exploring the Predictability of Cryptocurrencies via Bayesian Hidden Markov Models. (2020). Leonardos, Stefanos ; Koki, Constandina ; Piliouras, Georgios. In: Papers. RePEc:arx:papers:2011.03741.

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2020Split-then-Combine simplex combination and selection of forecasters. (2020). Arroyo, Antonio Martin ; Martinarroyo, Antonio ; de Juan, Aranzazu . In: Papers. RePEc:arx:papers:2012.11935.

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2020Trend Fundamentals and Exchange Rate Dynamics. (2020). Kaufmann, Daniel ; Huber, Florian. In: Economica. RePEc:bla:econom:v:87:y:2020:i:348:p:1016-1036.

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2020Forecasting stock market in high and low volatility periods: a modified multifractal volatility approach. (2020). Zhang, Tonghui ; Yuan, Ying. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:140:y:2020:i:c:s0960077920306482.

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2020An observation regarding Hamilton’s recent criticisms of Kilian’s global real economic activity index. (2020). Nonejad, Nima. In: Economics Letters. RePEc:eee:ecolet:v:196:y:2020:i:c:s0165176520303517.

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2020Examining the predictive information of CBOE OVX on China’s oil futures volatility: Evidence from MS-MIDAS models. (2020). Wang, Jianqiong ; Ma, Feng ; Lu, Xinjie. In: Energy. RePEc:eee:energy:v:212:y:2020:i:c:s0360544220318508.

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2020Do narrative-related disclosures predict corporate failure? Evidence from UK non-financial publicly quoted firms. (2020). Elsayed, Mohamed ; el Sayed, Mohamed ; Elshandidy, Tamer. In: International Review of Financial Analysis. RePEc:eee:finana:v:71:y:2020:i:c:s105752192030199x.

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

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

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2020Commodity futures and a wavelet-based risk assessment. (2020). Czudaj, Robert ; Berger, Theo. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:554:y:2020:i:c:s037843712030114x.

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2020Dynamic Characteristics of Crude Oil Price Fluctuation—From the Perspective of Crude Oil Price Influence Mechanism. (2020). Drakeford, Benjamin M ; Li, Zhenghui ; Peng, Jiaying. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:17:p:4465-:d:405903.

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

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2020A Hybrid System Based on LSTM for Short-Term Power Load Forecasting. (2020). Wang, Jianzhou ; Guo, Honggang ; Jin, YU ; Song, Aiyi. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:23:p:6241-:d:451845.

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2020Bubbles in Crude Oil and Commodity Energy Index: New Evidence. (2020). Floros, Christos ; Galyfianakis, Georgios. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:24:p:6648-:d:463170.

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2020X-Model: Further Development and Possible Modifications. (2020). Kulakov, Sergei. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:1:p:2-35:d:315975.

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2020Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique. (2020). Ali, Sajid ; Iftikhar, Hasnain ; Shah, Ismail. In: Forecasting. RePEc:gam:jforec:v:2:y:2020:i:2:p:9-179:d:362019.

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2020Forecasting Mid-price Movement of Bitcoin Futures Using Machine Learning. (2020). Uddin, Gazi ; Corbet, Shaen ; Cepni, Oguzhan ; Akyildirim, Erdinc. In: Working Papers. RePEc:hhs:cbsnow:2020_020.

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2020Reconciled Estimates of Monthly GDP in the US. (2020). Poon, Aubrey ; Mitchell, James ; McIntyre, Stuart ; Koop, Gary. In: Economic Statistics Centre of Excellence (ESCoE) Discussion Papers. RePEc:nsr:escoed:escoe-dp-2020-16.

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2020Forecasting Oil Volatility Using a GARCH-MIDAS Approach: The Role of Global Economic Conditions. (2020). Salisu, Afees ; GUPTA, RANGAN ; Bouri, Elie. In: Working Papers. RePEc:pre:wpaper:202051.

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

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2020Volatility Connectedness of Major Cryptocurrencies: The Role of Investor Happiness. (2020). Tiwari, Aviral ; GUPTA, RANGAN ; Gabauer, David ; Bouri, Elie. In: Working Papers. RePEc:pre:wpaper:202059.

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2020Time-Varying Spillover between Currency and Stock Markets in the United States: More than Two Centuries of Historical Evidence. (2020). GUPTA, RANGAN ; Rojas, Omar ; Hkiri, Besma ; Coronado, Semei. In: Working Papers. RePEc:pre:wpaper:202060.

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2020Robust Estimation of the Memory Parameter. (2020). Mangat, Manveer K ; Stark, Thomas ; Reschenhofer, Erhard. In: Journal of Statistical and Econometric Methods. RePEc:spt:stecon:v:9:y:2020:i:4:f:9_4_5.

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2020Pitfalls in long memory research. (2020). , Chandrashekhar ; Madhavan, Vinodh ; Saha, Kunal ; McMillan, David ; Shekhar, Chandra. In: Cogent Economics & Finance. RePEc:taf:oaefxx:v:8:y:2020:i:1:p:1733280.

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2020Forecasting bitcoin volatility: Evidence from the options market. (2020). Baur, Dirk G ; Hoang, Lai T. In: Journal of Futures Markets. RePEc:wly:jfutmk:v:40:y:2020:i:10:p:1584-1602.

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2020Volatility term structures in commodity markets. (2020). Prokopczuk, Marcel ; Hollstein, Fabian ; Wursig, Christoph. In: Journal of Futures Markets. RePEc:wly:jfutmk:v:40:y:2020:i:4:p:527-555.

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

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Recent citations received in 2019
YearCiting document
2019Predicting intraday jumps in stock prices using liquidity measures and technical indicators. (2019). Azencott, Robert ; Zhu, Hongliang ; Kong, AO. In: Papers. RePEc:arx:papers:1912.07165.

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2019Forecasting significant stock price changes using neural networks. (2019). Kamalov, Firuz. In: Papers. RePEc:arx:papers:1912.08791.

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2019Information interdependence among energy, cryptocurrency and major commodity markets. (2019). Krištoufek, Ladislav ; Ji, Qiang ; Kristoufek, Ladislav ; Roubaud, David ; Bouri, Elie. In: Energy Economics. RePEc:eee:eneeco:v:81:y:2019:i:c:p:1042-1055.

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2019Out-of-sample prediction of the oil futures market volatility: A comparison of new and traditional combination approaches. (2019). Ma, Feng ; Zhang, Yaojie ; Wei, YU. In: Energy Economics. RePEc:eee:eneeco:v:81:y:2019:i:c:p:1109-1120.

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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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2019Spillovers between oil and stock returns in the US energy sector: Does idiosyncratic information matter?. (2019). Zhang, Dayong ; Ma, Yan-Ran ; Pan, Jiaofeng ; Ji, Qiang. In: Energy Economics. RePEc:eee:eneeco:v:81:y:2019:i:c:p:536-544.

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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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2019The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets. (2019). Song, Yingjie ; Geng, Jiang-Bo ; Du, Ya-Juan ; Ji, Qiang. In: Energy Economics. RePEc:eee:eneeco:v:84:y:2019:i:c:s0140988319303597.

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2019Forecasting stock returns with cycle-decomposed predictors. (2019). Ma, Feng ; Yi, Yongsheng ; Huang, Dengshi ; Zhang, Yaojie. In: International Review of Financial Analysis. RePEc:eee:finana:v:64:y:2019:i:c:p:250-261.

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2019Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?. (2019). Lin, Jia-Juan ; Zhang, Yue-Jun. In: International Review of Financial Analysis. RePEc:eee:finana:v:66:y:2019:i:c:s1057521919304387.

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2019Measuring the interdependence between investor sentiment and crude oil returns: New evidence from the CFTCs disaggregated reports. (2019). Sun, Xiaolei ; Li, Jianping ; Ji, Qiang. In: Finance Research Letters. RePEc:eee:finlet:v:30:y:2019:i:c:p:420-425.

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2019Global renewable energy development: Influencing factors, trend predictions and countermeasures. (2019). Gao, Guowei ; Wang, Chenglong ; Ji, Qiang ; Wei, Zhifei ; Xu, Xiaofeng. In: Resources Policy. RePEc:eee:jrpoli:v:63:y:2019:i:c:11.

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2019Oil price-inflation pass-through in the United States over 1871 to 2018: A wavelet coherency analysis. (2019). Tiwari, Aviral ; Hatemi-J, Abdulnasser ; GUPTA, RANGAN ; Cunado, Juncal. In: Structural Change and Economic Dynamics. RePEc:eee:streco:v:50:y:2019:i:c:p:51-55.

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2019Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets. (2019). Škrinjarić, Tihana. In: IJFS. RePEc:gam:jijfss:v:7:y:2019:i:4:p:59-:d:275379.

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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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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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2019Trade liberalization and South African manufacturing: Looking back with data. (2019). Driver, Ciaran ; Ciaran, Driver. In: WIDER Working Paper Series. RePEc:unu:wpaper:wp-2019-30.

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2019Inflation Expectations of Households: Do They Influence Wage-Price Dynamics in India?. (2019). Ray, Soumyajit ; Muduli, Silu ; Pattanaik, Sitikantha. In: EconStor Preprints. RePEc:zbw:esprep:193462.

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2019A Machine Learning Approach Towards Startup Success Prediction. (2019). Ceasu, Ioana ; Unal, Cemre. In: IRTG 1792 Discussion Papers. RePEc:zbw:irtgdp:2019022.

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