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Journal of Forecasting / John Wiley & Sons, Ltd.

Citation Profile [Updated: 2023-01-07 21:26:51]
5 Years H Index
41
Impact Factor (IF)
0.91
5 Years IF
0.79
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
2001 0 0.38 0.29 0 38 38 551 7 11 0 0 0 7 0.18 0.17
2002 0.34 0.41 0.35 0.34 31 69 281 17 35 38 13 38 13 0 4 0.13 0.21
2003 0.43 0.44 0.49 0.43 28 97 434 41 83 69 30 69 30 0 8 0.29 0.22
2004 0.31 0.49 0.4 0.39 35 132 1092 51 136 59 18 97 38 0 9 0.26 0.22
2005 0.92 0.5 0.79 0.78 32 164 415 124 265 63 58 132 103 0 8 0.25 0.23
2006 0.55 0.5 0.62 0.58 33 197 461 120 388 67 37 164 95 0 8 0.24 0.23
2007 0.54 0.46 0.76 0.7 32 229 330 172 563 65 35 159 112 0 1 0.03 0.2
2008 0.6 0.49 0.92 0.76 41 270 1130 243 811 65 39 160 122 0 26 0.63 0.23
2009 1.22 0.47 1.12 1.14 43 313 479 345 1162 73 89 173 197 0 6 0.14 0.23
2010 0.96 0.48 0.99 0.85 40 353 639 342 1513 84 81 181 153 0 28 0.7 0.21
2011 1.06 0.52 1.07 0.89 36 389 476 410 1930 83 88 189 169 0 12 0.33 0.24
2012 0.91 0.51 0.96 0.75 39 428 254 396 2341 76 69 192 144 0 10 0.26 0.22
2013 0.88 0.56 1.17 1.07 56 484 609 562 2907 75 66 199 212 0 35 0.63 0.24
2014 0.67 0.55 1.07 0.88 43 527 370 563 3472 95 64 214 189 0 22 0.51 0.23
2015 0.79 0.55 0.97 0.96 44 571 289 552 4024 99 78 214 205 0 14 0.32 0.23
2016 0.64 0.53 0.92 0.74 40 611 198 562 4587 87 56 218 162 0 8 0.2 0.21
2017 0.77 0.55 0.98 0.8 67 678 222 662 5249 84 65 222 178 0 1 0.01 0.21
2018 0.5 0.57 0.88 0.76 54 732 259 644 5894 107 53 250 189 0 9 0.17 0.24
2019 0.66 0.6 1.01 0.79 54 786 188 790 6688 121 80 248 196 0 24 0.44 0.24
2020 1.02 0.73 0.92 0.85 83 869 264 797 7485 108 110 259 220 0 37 0.45 0.34
2021 0.91 1.02 0.81 0.79 83 952 92 769 8254 137 125 298 235 0 25 0.3 0.38
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

557
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

397
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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194
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

163
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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122
62007Forecasting 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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115
72005Forecasting 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

112
82008How 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

104
92001Impulse 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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101
102013The 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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99
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

98
122001Evaluating 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.

Full description at Econpapers || Download paper

91
132006Evaluating 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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90
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.

Full description at Econpapers || Download paper

88
152004Vector 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

86
162010Are 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

82
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

82
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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81
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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80
202008Forecasting 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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78
212004Quarterly 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
222014Hierarchical 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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77
232008Scalar 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
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.

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75
252004Forecasting 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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71
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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65
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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61
282007The 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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57
292002A 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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56
302001Forecasting 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
312009Forecasting 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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55
322019Oil 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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53
332009Sports 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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51
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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50
352007Forecasting 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
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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46
372009How 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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45
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
392010Forecasting 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
402018Forecasting 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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41
412012The 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
422002The 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
432008Bankruptcy 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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40
442006The 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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39
452004Finding 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
462011Bootstrap 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
472010Survey data as coincident or leading indicators. (2010). Proietti, Tommaso ; Marcellino, Massimiliano ; Frale, Cecilia ; Mazzi, Gian Luigi . In: Journal of Forecasting. RePEc:jof:jforec:v:29:y:2010:i:1-2:p:109-131.

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36
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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36
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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35
502011A wavelet approach for factor‐augmented forecasting. (2011). Rua, António. In: Journal of Forecasting. RePEc:jof:jforec:v:30:y:2011:i:7:p:666-678.

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35
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

95
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

83
32011Forecasting 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

55
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636
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92005Forecasting 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

24
1022
112010Dynamic 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

21
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
1320
142003From 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

18
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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
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2015
212004Vector 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

15
222009How 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

15
232010Combining 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

14
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262010Are 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

13
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302008How 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

12
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322008Forecasting 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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382008Short-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.

Full description at Econpapers || Download paper

11
392004Forecasting 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

11
402007The 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.

Full description at Econpapers || Download paper

10
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432003Selection 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

10
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462003Volatility 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

10
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482001Evaluating 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.

Full description at Econpapers || Download paper

9
499
509
Citing documents used to compute impact factor: 125
YearTitle
2021The effects of investor attention and policy uncertainties on cross-border country exchange-traded fund returns. (2021). Lee, Chien-Chiang ; Chen, Mei-Ping. In: International Review of Economics & Finance. RePEc:eee:reveco:v:71:y:2021:i:c:p:830-852.

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2021Heterogeneity in individual expectations, sentiment, and constant-gain learning. (2021). Milani, Fabio ; Cole, Stephen. In: Journal of Economic Behavior & Organization. RePEc:eee:jeborg:v:188:y:2021:i:c:p:627-650.

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2021.

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2021Nowcasting and forecasting GDP growth with machine-learning sentiment indicators.. (2021). Claveria, Oscar ; Torra, Salvador ; Monte, Enric. In: IREA Working Papers. RePEc:ira:wpaper:202103.

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2021The investment narrative: Improving private investment forecasts with media data. (2021). Schmidt, Torsten ; Jentsch, Carsten ; Muller, Henrik ; Blagov, Boris. In: Ruhr Economic Papers. RePEc:zbw:rwirep:921.

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2021Weekly Economic Activity: Measurement and Informational Content. (2021). Wegmueller, Philipp ; Guggia, Valentino ; Glocker, Christian ; Wegmuller, Philipp. In: WIFO Working Papers. RePEc:wfo:wpaper:y:2021:i:627.

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2021Night trading with futures in China: The case of Aluminum and Copper. (2021). Todorova, Neda ; Klein, Tony. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721002191.

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2021Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team. (2021). Blake, Adam ; Giannoni, Sauveur ; Ramos, Vicente ; Vici, Laura ; Liu, Anyu. In: Annals of Tourism Research. RePEc:eee:anture:v:88:y:2021:i:c:s016073832100044x.

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2021Modeling Judgment in Macroeconomic Forecasts. (2021). Franses, Philip Hans. In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:19:y:2021:i:1:d:10.1007_s40953-021-00277-5.

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2021A network autoregressive model with GARCH effects and its applications. (2021). Lin, Yu-Jun ; Chiang, Hsin-Han ; Huang, Shih-Feng. In: PLOS ONE. RePEc:plo:pone00:0255422.

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2021The effect of managerial ability on corporate social responsibility and firm value in the energy industry. (2021). Ho, Kungcheng ; Yan, Cheng ; Gong, Yujing. In: Corporate Social Responsibility and Environmental Management. RePEc:wly:corsem:v:28:y:2021:i:2:p:581-594.

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2021A new approach to estimating earnings forecasting models: Robust regression MM-estimation. (2021). Qu, LI. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:1011-1030.

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2021Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty. (2021). Salisu, Afees ; GUPTA, RANGAN ; Das, Sonali ; Karmakar, Sayar. In: GRU Working Paper Series. RePEc:cth:wpaper:gru_2021_017.

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2021Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty. (2021). Salisu, Afees ; GUPTA, RANGAN ; Karmakar, Sayar ; Das, Sonali. In: Working Papers. RePEc:pre:wpaper:202133.

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2021Commodity Prices and Forecastability of South African Stock Returns Over a Century: Sentiments versus Fundamentals. (2021). Salisu, Afees ; GUPTA, RANGAN. In: Working Papers. RePEc:pre:wpaper:202144.

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2021Extreme linkages between foreign exchange and general financial markets. (2021). Korsakul, Nattawadee ; Chen, Wei-Peng ; Wu, Chih-Chiang. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:65:y:2021:i:c:s0927538x20306740.

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2021Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling. (2021). Andresen, Gorm Bruun ; Tranberg, BO ; Bokde, Neeraj Dhanraj. In: Applied Energy. RePEc:eee:appene:v:281:y:2021:i:c:s0306261920314926.

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2021Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization algorithm. (2021). Chen, Kaijie ; Du, Xiaoxu ; Wu, Junchuan ; Tang, Zhenpeng ; Zhang, Tingting. In: Energy. RePEc:eee:energy:v:229:y:2021:i:c:s0360544221010458.

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2021Predicting risk in energy markets: Low-frequency data still matter. (2021). Výrost, Tomᚠ; Vrost, Toma ; Todorova, Neda ; Lyocsa, Tefan. In: Applied Energy. RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920315567.

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2021Stock market volatility forecasting: Do we need high-frequency data?. (2021). Molnár, Peter ; Lyócsa, Štefan ; Vrost, Toma ; Molnar, Peter ; Lyocsa, Tefan. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:3:p:1092-1110.

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2021Risk Analysis of China Stock Market During Economic Downturns–Based on GARCH-VaR and Wavelet Transformation Approaches. (2021). Tang, Zijie ; Li, Lei ; Cui, Yiwen. In: Asian Economic and Financial Review. RePEc:asi:aeafrj:2021:p:322-336.

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2021Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?. (2021). Charif, Husni ; Assaf, Ata ; Mokni, Khaled. In: Resources Policy. RePEc:eee:jrpoli:v:72:y:2021:i:c:s0301420721001264.

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2021Intraday return predictability in China’s crude oil futures market: New evidence from a unique trading mechanism. (2021). Zhang, Yaojie ; Wang, Yudong ; Wen, Danyan. In: Economic Modelling. RePEc:eee:ecmode:v:96:y:2021:i:c:p:209-219.

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2021Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network. (2021). Chen, Jianming ; Li, Jianping ; Wang, Jun ; Sun, Xiaolei ; Liu, Chang. In: Research in International Business and Finance. RePEc:eee:riibaf:v:55:y:2021:i:c:s0275531920302002.

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2021Financialization, idiosyncratic information and commodity co-movements. (2021). Pan, Jiaofeng ; Wu, Fei ; Ji, Qiang ; Ma, Yan-Ran. In: Energy Economics. RePEc:eee:eneeco:v:94:y:2021:i:c:s0140988320304230.

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2021Global financial uncertainties and China’s crude oil futures market: Evidence from interday and intraday price dynamics. (2021). Wang, Lei ; Liu, Liang ; Wei, YU ; Yang, Kun. In: Energy Economics. RePEc:eee:eneeco:v:96:y:2021:i:c:s0140988321000542.

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2021The realized volatility of commodity futures: Interconnectedness and determinants#. (2021). Vo, Xuan Vinh ; Saeed, Tareq ; Lucey, Brian ; Bouri, Elie. In: International Review of Economics & Finance. RePEc:eee:reveco:v:73:y:2021:i:c:p:139-151.

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2021Systemic risk and financial contagion across top global energy companies. (2021). Zhang, Dayong ; Ji, Qiang ; Wu, Fei. In: Energy Economics. RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988321001262.

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2021Inflation synchronization among the G7and China: The important role of oil inflation. (2021). Sousa, Ricardo ; Elsayed, Ahmed H ; Hammoudeh, Shawkat. In: Energy Economics. RePEc:eee:eneeco:v:100:y:2021:i:c:s0140988321002383.

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2021Network diffusion of international oil volatility risk in Chinas stock market: Quantile interconnectedness modelling and shock decomposition analysis. (2021). Xia, Xiaohua ; Li, Ziruo ; Huang, Jionghao. In: International Review of Economics & Finance. RePEc:eee:reveco:v:76:y:2021:i:c:p:1-39.

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2021Modeling and predicting U.S. recessions using machine learning techniques. (2021). Vrontos, Ioannis D ; Galakis, John. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:647-671.

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2021The Economics of Walking About and Predicting Unemployment. (2021). Bryson, Alex ; Blanchflower, David G. In: DoQSS Working Papers. RePEc:qss:dqsswp:2124.

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2021Misclassification errors in labor force statuses and the early identification of economic recessions. (2021). Hu, Yingyao ; Feng, Shuaizhang ; Sun, Jiandong. In: Journal of Asian Economics. RePEc:eee:asieco:v:75:y:2021:i:c:s1049007821000488.

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2021Stock price forecast with deep learning. (2021). Gurrib, Ikhlaas ; Smail, Linda ; Kamalov, Firuz. In: Papers. RePEc:arx:papers:2103.14081.

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2021Revealing Pairs-trading opportunities with long short-term memory networks. (2021). Regoli, Daniele ; Flori, Andrea. In: European Journal of Operational Research. RePEc:eee:ejores:v:295:y:2021:i:2:p:772-791.

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2021Trading via Selective Classification. (2021). Savani, Rahul ; Chalkidis, Nestoras. In: Papers. RePEc:arx:papers:2110.14914.

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2021Monetary Policy Interdependency in Fisher Effect: A Comparative Evidence. (2021). Shobande, Olatunji Abdul ; Shodipe, Oladimeji Tomiwa. In: Journal of Central Banking Theory and Practice. RePEc:cbk:journl:v:10:y:2021:i:1:p:203-226.

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2021The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model. (2021). Sivaprasad, Sheeja ; Pappas, Vasileios ; Muradolu, Yaz Gulnur ; Izzeldin, Marwan. In: International Review of Financial Analysis. RePEc:eee:finana:v:74:y:2021:i:c:s1057521921000144.

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

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2021Spillovers of the COVID-19 Pandemic: Impact on Global Economic Activity, the Stock Market, and the Energy Sector. (2021). Sarker, Tapan ; Mahi, Masnun ; Hasan, Md Bokhtiar ; Amin, Md Ruhul. In: JRFM. RePEc:gam:jjrfmx:v:14:y:2021:i:5:p:200-:d:547755.

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2021Risk perception and oil and gasoline markets under COVID-19. (2021). Akhundjanov, Sherzod ; Okhunjanov, Botir B ; Ahundjanov, Behzod B. In: Journal of Economics and Business. RePEc:eee:jebusi:v:115:y:2021:i:c:s0148619520304239.

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2021COVID-19 Effects on the S&P 500 Index. (2021). YILMAZKUDAY, HAKAN. In: Working Papers. RePEc:fiu:wpaper:2117.

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2021The impact of macroprudential policies on capital flows in CESEE. (2021). Huber, Florian ; Eller, Markus ; Vashold, Lukas ; Schuberth, Helene ; Hauzenberger, Niko. In: Journal of International Money and Finance. RePEc:eee:jimfin:v:119:y:2021:i:c:s0261560621001467.

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2021Do market participants’ forecasts of financial variables outperform the random-walk benchmark?. (2021). Österholm, Pär ; Osterholm, Par ; Kladivko, Kamil. In: Finance Research Letters. RePEc:eee:finlet:v:40:y:2021:i:c:s1544612319313443.

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2021Transformational Approach to Analytical Value-at-Risk for near Normal Distributions. (2021). Singh, Kewal ; Sangwan, Vikas ; Prakash, Puneet. In: JRFM. RePEc:gam:jjrfmx:v:14:y:2021:i:2:p:51-:d:487006.

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2021Market Efficiency and Nonlinear Analysis of Soybean Futures. (2021). Wang, Yiming ; Yin, Tao. In: Sustainability. RePEc:gam:jsusta:v:13:y:2021:i:2:p:518-:d:476494.

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2021A Comparative Analysis on Probability of Volatility Clusters on Cryptocurrencies, and FOREX Currencies. (2021). Chinthapalli, Usha Rekha. In: JRFM. RePEc:gam:jjrfmx:v:14:y:2021:i:7:p:308-:d:589162.

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2021Talking in a language that everyone can understand? Transparency of speeches by the ECB Executive Board. (2021). Muller, Lena ; Glas, Alexander. In: FAU Discussion Papers in Economics. RePEc:zbw:iwqwdp:012021.

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2021A textual analysis of central bank communication the case of Indonesia. (2021). Sebayang, Dianta ; Ahmad, Gatot Nazir ; Kuncoro, Haryo. In: Economics Bulletin. RePEc:ebl:ecbull:eb-21-00001.

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2021.

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2021A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy. (2021). Kruger, Jens J. In: Journal of Business Cycle Research. RePEc:spr:jbuscr:v:17:y:2021:i:3:d:10.1007_s41549-021-00060-8.

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2021Kalman Filter Learning Algorithms and State Space Representations for Stochastic Claims Reserving. (2021). Johannssen, Arne ; Chukhrova, Nataliya. In: Risks. RePEc:gam:jrisks:v:9:y:2021:i:6:p:112-:d:569870.

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2021Big data from dynamic pricing: A smart approach to tourism demand forecasting. (2021). Ranieri, Ercolino ; Angelini, Giovanni ; Emanuele, Flavio Maria ; Guizzardi, Andrea. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:3:p:1049-1060.

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2021CatBoost model and artificial intelligence techniques for corporate failure prediction. (2021). ben Arfi, Wissal ; Mefteh-Wali, Salma ; Gharib, Cheima ; ben Jabeur, Sami. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000901.

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2021Borrow low, lend high: Credit arbitrage by sophisticated investors. (2021). Wu, Weixing ; Wang, Xiaowen ; Tian, Geran. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:67:y:2021:i:c:s0927538x21000512.

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2021Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach. (2021). Yang, Xiaoli ; Li, Yinguo ; He, Lingyun ; Zhao, Junhao ; Xia, Yufei. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:4:p:1590-1613.

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2021Global Financial Cycle and the Predictability of Oil Market Volatility: Evidence from a GARCH-MIDAS Model. (2021). Salisu, Afees ; GUPTA, RANGAN ; Demirer, Riza. In: Working Papers. RePEc:pre:wpaper:202121.

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2021Forecasting Oil and Gold Volatilities with Sentiment Indicators Under Structural Breaks. (2021). Demirer, Riza ; Ji, Qiang ; Gupta, Rangan ; Luo, Jiawen. In: Working Papers. RePEc:pre:wpaper:202130.

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2021Forecasting selected energy commodities prices with Bayesian dynamic finite mixtures. (2021). Drachal, Krzysztof. In: Energy Economics. RePEc:eee:eneeco:v:99:y:2021:i:c:s0140988321001882.

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2021What drives volatility of the U.S. oil and gas firms?. (2021). Todorova, Neda ; Lyocsa, Tefan. In: Energy Economics. RePEc:eee:eneeco:v:100:y:2021:i:c:s014098832100270x.

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2021Economic drivers of commodity volatility: The case of copper. (2021). Hansen, Erwin ; Cabrera, Gabriel ; Diaz, Juan D. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s030142072100235x.

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2021Oil price changes, uncertainty, and geopolitical risks: On the resilience of GCC countries to global tensions. (2021). Klein, Tony ; Alqahtani, Abdullah. In: Energy. RePEc:eee:energy:v:236:y:2021:i:c:s0360544221017898.

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

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2021Empirical Evidences on the Interconnectedness between Sampling and Asset Returns’ Distributions. (2021). Orlando, Giuseppe ; Bufalo, Michele. In: Risks. RePEc:gam:jrisks:v:9:y:2021:i:5:p:88-:d:550538.

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2021Improving the Estimation and Predictions of Small Time Series Models. (2021). Liu-Evans, Gareth. In: Working Papers. RePEc:liv:livedp:202106.

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2021How to handle negative interest rates in a CIR framework. (2021). Kamm, Kevin ; di Francesco, Marco. In: Papers. RePEc:arx:papers:2106.03716.

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2021Harnessing the decomposed realized measures for volatility forecasting: Evidence from the US stock market. (2021). Wahab, M. I. M., ; Ding, Hui ; Wang, Jiqian ; Ma, Feng ; Lu, Botao. In: International Review of Economics & Finance. RePEc:eee:reveco:v:72:y:2021:i:c:p:672-689.

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2021Forecasting residential electricity consumption using a hybrid machine learning model with online search data. (2021). Chi, Hong ; Gao, Feng ; Shao, Xueyan . In: Applied Energy. RePEc:eee:appene:v:300:y:2021:i:c:s0306261921007947.

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2021Is Bitcoin rooted in confidence? – Unraveling the determinants of globalized digital currencies. (2021). Sahut, Jean Michel ; Nakhli, Mohamed Sahbi ; Gaies, Brahim ; Guesmi, Khaled. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:172:y:2021:i:c:s0040162521004704.

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2021Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors. (2021). Yazgan, Ege ; Soybilgen, Bari. In: Computational Economics. RePEc:kap:compec:v:57:y:2021:i:1:d:10.1007_s10614-020-10083-5.

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2021Dynamic time scan forecasting for multi-step wind speed prediction. (2021). Ruiz-Cardenas, Ramiro ; Costa, Marcelo Azevedo ; Prates, Marcos Oliveira ; Mineti, Leandro Brioschi. In: Renewable Energy. RePEc:eee:renene:v:177:y:2021:i:c:p:584-595.

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2021Choosing the frequency of volatility components within the Double Asymmetric GARCH–MIDAS–X model. (2021). Gallo, Giampiero ; Amendola, Alessandra ; Candila, Vincenzo. In: Econometrics and Statistics. RePEc:eee:ecosta:v:20:y:2021:i:c:p:12-28.

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2021Temperature Anomalies, Long Memory, and Aggregation. (2021). Vera-Valdés, J. Eduardo ; Vera-Valdes, Eduardo J. In: Econometrics. RePEc:gam:jecnmx:v:9:y:2021:i:1:p:9-:d:509830.

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2021Independent Policy, Dependent Outcomes: A Game of Cross-Country Dominoes across European Yield Curves. (2021). Stenfors, Alexis ; Chatziantoniou, Ioannis ; Gabauer, David. In: Working Papers in Economics & Finance. RePEc:pbs:ecofin:2021-06.

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2021Volatility connectedness of major cryptocurrencies: The role of investor happiness. (2021). GUPTA, RANGAN ; Gabauer, David ; Tiwari, Aviral Kumar ; Bouri, Elie. In: Journal of Behavioral and Experimental Finance. RePEc:eee:beexfi:v:30:y:2021:i:c:s2214635021000071.

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

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2021Equity premium predictability over the business cycle. (2021). Stein, Tobias ; Monch, Emanuel. In: Discussion Papers. RePEc:zbw:bubdps:252021.

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2021Evolving United States Stock Market Volatility: The Role of Conventional and Unconventional Monetary Policies. (2021). Plakandaras, Vasilios ; Balcilar, Mehmet ; Ji, Qiang ; Gupta, Rangan. In: Working Papers. RePEc:pre:wpaper:202113.

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2021Using Polls to Forecast Popular Vote Share for US Presidential Elections 2016 and 2020: An Optimal Forecast Combination Based on Ensemble Empirical Model. (2021). Heravi, Saeed ; Fang, Yongmei ; Easaw, Joshy. In: Cardiff Economics Working Papers. RePEc:cdf:wpaper:2021/34.

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

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2021Minnesota-type adaptive hierarchical priors for large Bayesian VARs. (2021). Chan, Joshua. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:3:p:1212-1226.

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2021Asymmetric Conjugate Priors for Large Bayesian VARs. (2021). Chan, Joshua. In: Papers. RePEc:arx:papers:2111.07170.

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2021Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs. (2021). Boulet, Lucien. In: Papers. RePEc:arx:papers:2109.01044.

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2021Multivariate Realized Volatility Forecasting with Graph Neural Network. (2021). Robert, Christian-Yann ; Chen, Qinkai. In: Papers. RePEc:arx:papers:2112.09015.

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2021Toward a general framework for constructing and evaluating core inflation measures. (2021). Sansone, Andrés ; Fornero, Jorge ; Carlomagno, Guillermo. In: Working Papers Central Bank of Chile. RePEc:chb:bcchwp:913.

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2021Dealing with cross-country heterogeneity in panel VARs using finite mixture models. (2018). Huber, Florian. In: Papers. RePEc:arx:papers:1804.01554.

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2021Dynamic Ordering Learning in Multivariate Forecasting. (2021). Lopes, Hedibert F ; Bruno, . In: Papers. RePEc:arx:papers:2101.04164.

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2021Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid. (2021). Genton, Marc G ; Huang, Hsin-Cheng ; Yan, Yuan. In: Journal of Agricultural, Biological and Environmental Statistics. RePEc:spr:jagbes:v:26:y:2021:i:3:d:10.1007_s13253-021-00444-4.

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2021Flexible Mixture Priors for Large Time-varying Parameter Models. (2021). Hauzenberger, Niko. In: Econometrics and Statistics. RePEc:eee:ecosta:v:20:y:2021:i:c:p:87-108.

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2021AN OVERVIEW OF DYNAMIC MODEL AVERAGING TECHNIQUES IN TIME?SERIES ECONOMETRICS. (2021). Nonejad, Nima. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:35:y:2021:i:2:p:566-614.

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2021The price of crude oil and (conditional) out-of-sample predictability of world industrial production. (2021). Nonejad, Nima. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:23:y:2021:i:c:s2405851321000015.

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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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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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2021The role of US implied volatility index in forecasting Chinese stock market volatility: Evidence from HAR models. (2021). Wang, Xiong ; Zhao, Yupei ; Wen, Fenghua ; Xiao, Jihong. In: International Review of Economics & Finance. RePEc:eee:reveco:v:74:y:2021:i:c:p:311-333.

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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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2021Forecasting International REITs Volatility: The Role of Oil-Price Uncertainty. (2021). GUPTA, RANGAN ; Ma, Feng ; Cepni, Oguzhan ; Wang, Jiqian. In: Working Papers. RePEc:pre:wpaper:202173.

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2021Is investor sentiment stronger than VIX and uncertainty indices in predicting energy volatility?. (2021). Umar, Muhammad ; Liang, Chao ; Chen, Zhonglu. In: Resources Policy. RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420721004001.

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2021The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets. (2021). Urquhart, Andrew ; Manahov, Viktor. In: International Review of Financial Analysis. RePEc:eee:finana:v:73:y:2021:i:c:s1057521920302726.

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2021Efficient predictability of oil price: The role of number of IPOs and U.S. dollar index. (2021). Hu, Yangli ; Kang, Jie ; Dai, Zhifeng. In: Resources Policy. RePEc:eee:jrpoli:v:74:y:2021:i:c:s030142072100307x.

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2021A Novel Hybrid Feature Selection Method for Day-Ahead Electricity Price Forecasting. (2021). Elavarasan, Rajvikram Madurai ; Pandey, Ajay Shekhar ; Srivastava, Ankit Kumar ; Mihet-Popa, Lucian ; Mekhilef, Saad ; Subramaniam, Umashankar. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:24:p:8455-:d:702668.

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

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2021Intermittent demand forecasting for spare parts: A Critical review. (2021). Meissner, Joern ; Turrini, Laura ; Pine, Era. In: Omega. RePEc:eee:jomega:v:105:y:2021:i:c:s0305048321001225.

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2021Advanced price forecasting in agent-based electricity market simulation. (2021). Fichtner, Wolf ; Keles, Dogan ; Kraft, Emil ; Fraunholz, Christoph. In: Applied Energy. RePEc:eee:appene:v:290:y:2021:i:c:s0306261921002142.

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2021Bus Load Forecasting Method of Power System Based on VMD and Bi-LSTM. (2021). Zou, Hongliang ; Zhao, Jie ; Tang, Jiajie ; Zhang, Huaixun ; Jiang, XU ; Wu, Jun ; Ma, Gaoyuan. In: Sustainability. RePEc:gam:jsusta:v:13:y:2021:i:19:p:10526-:d:640906.

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2021Machine learning in energy forecasts with an application to high frequency electricity consumption data. (2021). Wetzel, Heike ; Henze, Janosch ; Heilmann, Erik. In: MAGKS Papers on Economics. RePEc:mar:magkse:202135.

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2021The impact of transparency policies on local flexibility markets in electrical distribution networks: A case study with artificial neural network forecasts. (2021). Heilmann, Erik. In: MAGKS Papers on Economics. RePEc:mar:magkse:202141.

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2021Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction. (2021). Chiu, Andy ; Hu, Ya-Han ; Sue, Kuen-Liang ; Tsai, Chih-Fong. In: Journal of Business Research. RePEc:eee:jbrese:v:130:y:2021:i:c:p:200-209.

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2021The Utilization of Autoregressive Forecasting Models in Strategic Management. (2021). Ozguven, Mustafa ; Si, Mohamed Yacine ; Gao, Chong Yan. In: International Journal of Science and Business. RePEc:aif:journl:v:5:y:2021:i:7:p:170-185.

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2021Longevity risk and economic growth in sub-populations: evidence from Italy. (2021). Menzietti, Massimiliano ; Levantesi, Susanna ; Bozzo, Giuseppina. In: Decisions in Economics and Finance. RePEc:spr:decfin:v:44:y:2021:i:1:d:10.1007_s10203-020-00275-x.

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2021Forecasting Spanish unemployment with Google Trends and dimension reduction techniques. (2021). Garcia-Hiernaux, Alfredo ; Mulero, Rodrigo. In: SERIEs: Journal of the Spanish Economic Association. RePEc:spr:series:v:12:y:2021:i:3:d:10.1007_s13209-021-00231-x.

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2021Tests for jumps in yield spreads. (2021). Yao, Wenying ; Winkelmann, Lars. In: Discussion Papers. RePEc:zbw:fubsbe:202115.

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2021Is It Possible to Forecast the Price of Bitcoin?. (2021). Goutte, Stéphane ; Chevallier, Julien ; Guegan, Dominique. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:2:p:24-420:d:564101.

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2021Boosting Tax Revenues with Mixed-Frequency Data in the Aftermath of Covid-19: The Case of New York. (2021). Lahiri, Kajal ; Yang, Cheng. In: CESifo Working Paper Series. RePEc:ces:ceswps:_9365.

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2021Volatility forecasting of crude oil futures based on a genetic algorithm regularization online extreme learning machine with a forgetting factor: The role of news during the COVID-19 pandemic. (2021). Yang, Cai ; Zhang, Hongwei ; Weng, Futian. In: Resources Policy. RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721001628.

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2021The Time-Varying Impact of Uncertainty Shocks on the Comovement of Regional Housing Prices of the United Kingdom. (2021). GUPTA, RANGAN ; Marfatia, Hardik A ; Cepni, Oguzhan. In: Working Papers. RePEc:pre:wpaper:202168.

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2021Potential Mobility from Africa, Middle East and EU Neighbouring Countries to Europe. (2021). Mara, Isilda ; Landesmann, Michael ; Grieveson, Richard. In: wiiw Working Papers. RePEc:wii:wpaper:199.

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2021Forecasting internal migration in Russia using Google Trends: Evidence from Moscow and Saint Petersburg. (2021). Fantazzini, Dean ; Kurbatskii, Alexey ; Mironenkov, Alexey ; Pushchelenko, Julia. In: MPRA Paper. RePEc:pra:mprapa:110452.

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2021Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg. (2021). Fantazzini, Dean ; Pushchelenko, Julia ; Kurbatskii, Alexey ; Mironenkov, Alexey. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:4:p:48-803:d:667485.

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2021Analyse und Prognose von Migrationsbewegungen. (2021). Heidland, Tobias ; Boockmann, Bernhard ; Kalweit, Rene ; Groll, Dominik ; Jannsen, Nils. In: Kieler Beiträge zur Wirtschaftspolitik. RePEc:zbw:ifwkbw:34.

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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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2021Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices. (2020). Nott, David J ; Smith, Michael Stanley ; Klein, Nadja. In: Papers. RePEc:arx:papers:2010.01844.

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2021COVID19-HPSMP: COVID-19 Adopted Hybrid and Parallel Deep Information Fusion Framework for Stock Price Movement Prediction. (2021). Mohammadi, Arash ; Naderkhani, Farnoosh ; Salimibeni, Mohammad ; Ronaghi, Farnoush. In: Papers. RePEc:arx:papers:2101.02287.

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2021Semantic Network Analysis to Explore the Concept of Sustainability in the Apparel and Textile Industry. (2021). Jung, Hye Jung ; Youn, Chorong. In: Sustainability. RePEc:gam:jsusta:v:13:y:2021:i:7:p:3813-:d:526959.

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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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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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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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Recent citations received in 2018
YearCiting document
2018Google Trends and Structural Exchange Rate Models for Turkish Lira–US Dollar Exchange Rate. (2018). Bulut, Levent ; Can, Dogan ; Levent, Bulut. In: Review of Middle East Economics and Finance. RePEc:bpj:rmeecf:v:14:y:2018:i:2:p:12:n:3.

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2018Volatility spillover shifts in global financial markets. (2018). Bensaida, Ahmed ; Abdallah, Oussama ; Litimi, Houda. In: Economic Modelling. RePEc:eee:ecmode:v:73:y:2018:i:c:p:343-353.

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2018Forecasting oil futures price volatility: New evidence from realized range-based volatility. (2018). Ma, Feng ; Lai, Xiaodong ; Huang, Dengshi ; Zhang, Yaojie. In: Energy Economics. RePEc:eee:eneeco:v:75:y:2018:i:c:p:400-409.

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2018Does US Economic Policy Uncertainty matter for European stock markets volatility?. (2018). Mei, Dexiang ; Hou, Wenjing ; Zhang, Yaojie ; Zeng, Qing. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:512:y:2018:i:c:p:215-221.

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2018Forecasting UK consumer price inflation using inflation forecasts. (2018). Hassani, Hossein ; Silva, Emmanuel Sirimal. In: Research in Economics. RePEc:eee:reecon:v:72:y:2018:i:3:p:367-378.

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2018.

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2018The Distributional Effects of Government Spending Shocks in Developing Economies. (2018). Melina, Giovanni ; Loungani, Prakash ; Furceri, Davide ; Ge, Jun. In: IMF Working Papers. RePEc:imf:imfwpa:2018/057.

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2018Does Inequality Really Matter in Forecasting Real Housing Returns of the United Kingdom?. (2018). GUPTA, RANGAN ; Yeganegi, Mohammad Reza ; Hassani, Hossein. In: Working Papers. RePEc:pre:wpaper:201859.

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2018Forecasting (Good and Bad) Realized Exchange-Rate Volatility: Is there a Role for Realized Skewness and Kurtosis?. (2018). Pierdzioch, Christian ; GUPTA, RANGAN ; Gkillas (Gillas), Konstantinos. In: Working Papers. RePEc:pre:wpaper:201879.

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