International stock volatility predictability: New evidence from uncertainties
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DOI: 10.1016/j.intfin.2023.101781
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- Ben S. Bernanke & Kenneth N. Kuttner, 2005.
"What Explains the Stock Market's Reaction to Federal Reserve Policy?,"
Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, June.
- Ben S. Bernanke & Kenneth N. Kuttner, 2003. "What explains the stock market's reaction to Federal Reserve policy?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- Ben S. Bernanke & Kenneth N. Kuttner, 2003. "What explains the stock market's reaction to Federal Reserve policy?," Staff Reports 174, Federal Reserve Bank of New York.
- Ben S. Bernanke & Kenneth N. Kuttner, 2004. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," NBER Working Papers 10402, National Bureau of Economic Research, Inc.
- Ben S. Bernanke & Kenneth N. Kuttner, 2004. "What explains the stock market's reaction to Federal Reserve policy?," Finance and Economics Discussion Series 2004-16, Board of Governors of the Federal Reserve System (U.S.).
- Faria, Gonçalo & Kosowski, Robert & Wang, Tianyu, 2022.
"The Correlation Risk Premium: International Evidence,"
Journal of Banking & Finance, Elsevier, vol. 136(C).
- Kosowski, Robert & Faria, Gonçalo & Wang, Tianyu, 2021. "The Correlation Risk Premium: International Evidence," CEPR Discussion Papers 16389, C.E.P.R. Discussion Papers.
- Buncic, Daniel & Gisler, Katja I.M., 2016.
"Global equity market volatility spillovers: A broader role for the United States,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1317-1339.
- Buncic, Daniel & Gisler, Katja I. M., 2015. "Global Equity Market Volatility Spillovers: A Broader Role for the United States," Economics Working Paper Series 1508, University of St. Gallen, School of Economics and Political Science.
- Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
- Zhang, Yaojie & He, Jiaxin & He, Mengxi & Li, Shaofang, 2023. "Geopolitical risk and stock market volatility: A global perspective," Finance Research Letters, Elsevier, vol. 53(C).
- Geert Bekaert & Michael Ehrmann & Marcel Fratzscher & Arnaud Mehl, 2014.
"The Global Crisis and Equity Market Contagion,"
Journal of Finance, American Finance Association, vol. 69(6), pages 2597-2649, December.
- Bekaert, Geert & Ehrmann, Michael & Fratzscher, Marcel & Mehl, Arnaud, 2011. "Global crises and equity market contagion," CEPR Discussion Papers 8438, C.E.P.R. Discussion Papers.
- Geert Bekaert & Michael Ehrmann & Marcel Fratzscher & Arnaud Mehl, 2014. "The Global Crisis and Equity Market Contagion," Discussion Papers of DIW Berlin 1352, DIW Berlin, German Institute for Economic Research.
- Ehrmann, Michael & Fratzscher, Marcel & Mehl, Arnaud & Bekaert, Geert, 2011. "Global crises and equity market contagion," Working Paper Series 1381, European Central Bank.
- Geert Bekaert & Michael Ehrmann & Marcel Fratzscher & Arnaud J. Mehl, 2011. "Global Crises and Equity Market Contagion," NBER Working Papers 17121, National Bureau of Economic Research, Inc.
- Bakas, Dimitrios & Triantafyllou, Athanasios, 2018.
"The impact of uncertainty shocks on the volatility of commodity prices,"
Journal of International Money and Finance, Elsevier, vol. 87(C), pages 96-111.
- Dimitrios Bakas & Athanasios Triantafyllou, 2017. "The Impact of Uncertainty Shocks on the Volatility of Commodity Prices," Working Paper series 17-31, Rimini Centre for Economic Analysis.
- Dimitrios Bakas & Athanasios Triantafyllou, 2018. "The Impact of Uncertainty Shocks on the Volatility of Commodity Prices," NBS Discussion Papers in Economics 2018/02, Economics, Nottingham Business School, Nottingham Trent University.
- Tim Bollerslev & Benjamin Hood & John Huss & Lasse Heje Pedersen, 2018.
"Risk Everywhere: Modeling and Managing Volatility,"
The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2729-2773.
- Pedersen, Lasse Heje & Bollerslev, Tim & Hood, Benjamin & Huss, John, 2018. "Risk Everywhere: Modeling and Managing Volatility," CEPR Discussion Papers 12687, C.E.P.R. Discussion Papers.
- Bianchi, Daniele, 2021. "Adaptive expectations and commodity risk premiums," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
- Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015.
"Measuring Uncertainty,"
American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
- Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2013. "Measuring Uncertainty," NBER Working Papers 19456, National Bureau of Economic Research, Inc.
- Nicholas Bloom, 2009.
"The Impact of Uncertainty Shocks,"
Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
- Nicholas Bloom, 2007. "The Impact of Uncertainty Shocks," NBER Working Papers 13385, National Bureau of Economic Research, Inc.
- Bollerslev, Tim & Marrone, James & Xu, Lai & Zhou, Hao, 2014.
"Stock Return Predictability and Variance Risk Premia: Statistical Inference and International Evidence,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 633-661, June.
- Tim Bollerslev & James Marrone & Lai Xu & Hao Zhou, 2011. "Stock return predictability and variance risk premia: statistical inference and international evidence," Finance and Economics Discussion Series 2011-52, Board of Governors of the Federal Reserve System (U.S.).
- Geert Bekaert & Eric C. Engstrom & Nancy R. Xu, 2022.
"The Time Variation in Risk Appetite and Uncertainty,"
Management Science, INFORMS, vol. 68(6), pages 3975-4004, June.
- Geert Bekaert & Eric C. Engstrom & Nancy R. Xu, 2019. "The Time Variation in Risk Appetite and Uncertainty," NBER Working Papers 25673, National Bureau of Economic Research, Inc.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Degiannakis, Stavros & Filis, George, 2017.
"Forecasting oil price realized volatility using information channels from other asset classes,"
Journal of International Money and Finance, Elsevier, vol. 76(C), pages 28-49.
- Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
- Pan, Zhiyuan & Wang, Yudong & Wu, Chongfeng & Yin, Libo, 2017. "Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 130-142.
- Liu, Lily Y. & Patton, Andrew J. & Sheppard, Kevin, 2015.
"Does anything beat 5-minute RV? A comparison of realized measures across multiple asset classes,"
Journal of Econometrics, Elsevier, vol. 187(1), pages 293-311.
- Kevin Sheppard & Lily Liu & Andrew J. Patton, 2013. "Does Anything Beat 5-Minute RV? A Comparison of Realized Measures Across Multiple Asset Classes," Economics Series Working Papers 645, University of Oxford, Department of Economics.
- Choudhry, Taufiq & Papadimitriou, Fotios I. & Shabi, Sarosh, 2016. "Stock market volatility and business cycle: Evidence from linear and nonlinear causality tests," Journal of Banking & Finance, Elsevier, vol. 66(C), pages 89-101.
- Fulvio Corsi, 2009. "A Simple Approximate Long-Memory Model of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 7(2), pages 174-196, Spring.
- Baele, Lieven, 2005.
"Volatility Spillover Effects in European Equity Markets,"
Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(2), pages 373-401, June.
- L. Baele, 2003. "Volatility Spillover Effects in European Equity Markets," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/189, Ghent University, Faculty of Economics and Business Administration.
- Baele, L., 2003. "Volatility Spillover Effects in European Equity Markets," Discussion Paper 2003-114, Tilburg University, Center for Economic Research.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016.
"Measuring Economic Policy Uncertainty,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2015. "Measuring Economic Policy Uncertainty," Economics Working Papers 15111, Hoover Institution, Stanford University.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2015. "Measuring Economic Policy Uncertainty," NBER Working Papers 21633, National Bureau of Economic Research, Inc.
- Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2015. "Measuring Economic Policy Uncertainty," CEP Discussion Papers dp1379, Centre for Economic Performance, LSE.
- Baker, Scott R. & Bloom, Nicholas & Davis, Steven J., 2015. "Measuring economic policy uncertainty," LSE Research Online Documents on Economics 64986, London School of Economics and Political Science, LSE Library.
- Davis, Steven & Bloom, Nicholas & Baker, Scott, 2015. "Measuring Economic Policy Uncertainty," CEPR Discussion Papers 10900, C.E.P.R. Discussion Papers.
- Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Eun, Cheol S. & Huang, Wei & Lai, Sandy, 2008. "International Diversification with Large- and Small-Cap Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 489-524, June.
- Bali, Turan G. & Brown, Stephen J. & Tang, Yi, 2017. "Is economic uncertainty priced in the cross-section of stock returns?," Journal of Financial Economics, Elsevier, vol. 126(3), pages 471-489.
- Yudong Wang & Zhiyuan Pan & Chongfeng Wu, 2018. "Volatility spillover from the US to international stock markets: A heterogeneous volatility spillover GARCH model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(3), pages 385-400, April.
- Amit Goyal & Ivo Welch, 2003.
"Predicting the Equity Premium with Dividend Ratios,"
Management Science, INFORMS, vol. 49(5), pages 639-654, May.
- Amit Goyal & Ivo Welch, 1999. "Predicting the Equity Premium with Dividend Ratios," Yale School of Management Working Papers amz2437, Yale School of Management, revised 01 Nov 2002.
- Amit Goyal & Ivo Welch, 2002. "Predicting the Equity Premium With Dividend Ratios," NBER Working Papers 8788, National Bureau of Economic Research, Inc.
- Ma, Feng & Liao, Yin & Zhang, Yaojie & Cao, Yang, 2019. "Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 40-55.
- Corradi, Valentina & Distaso, Walter & Mele, Antonio, 2013. "Macroeconomic determinants of stock volatility and volatility premiums," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 203-220.
- Buncic, Daniel & Gisler, Katja I.M., 2017. "The role of jumps and leverage in forecasting volatility in international equity markets," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 1-19.
- Pesaran, M. Hashem & Timmermann, Allan, 2009.
"Testing Dependence Among Serially Correlated Multicategory Variables,"
Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 325-337.
- Pesaran, M.H. & Timmermann, A., 2006. "Testing Dependence Among Serially Correlated Multi-category Variables," Cambridge Working Papers in Economics 0648, Faculty of Economics, University of Cambridge.
- M. Hashem Pesaran & Allan Timmermann, 2006. "Testing Dependence among Serially Correlated Multi-category Variables," CESifo Working Paper Series 1770, CESifo.
- Pesaran, M. Hashem & Timmermann, Allan, 2006. "Testing Dependence among Serially Correlated Multi-Category Variables," IZA Discussion Papers 2196, Institute of Labor Economics (IZA).
- John Y. Campbell & Samuel B. Thompson, 2008.
"Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?,"
The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
- Campbell, John & Thompson, Samuel P., 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Scholarly Articles 2622619, Harvard University Department of Economics.
- John H. Boyd & Jian Hu & Ravi Jagannathan, 2005.
"The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks,"
Journal of Finance, American Finance Association, vol. 60(2), pages 649-672, April.
- John H. Boyd & Ravi Jagannathan & Jian Hu, 2001. "The Stock Market's Reaction to Unemployment News: Why Bad News is Usually Good for Stocks," NBER Working Papers 8092, National Bureau of Economic Research, Inc.
- Simon Gilchrist & Egon Zakrajsek, 2012.
"Credit Spreads and Business Cycle Fluctuations,"
American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
- Simon Gilchrist & Egon Zakrajšek, 2011. "Credit Spreads and Business Cycle Fluctuations," NBER Working Papers 17021, National Bureau of Economic Research, Inc.
- Wang, Jiqian & Lu, Xinjie & He, Feng & Ma, Feng, 2020. "Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?," International Review of Financial Analysis, Elsevier, vol. 72(C).
- David E. Rapach & Jack K. Strauss & Guofu Zhou, 2013. "International Stock Return Predictability: What Is the Role of the United States?," Journal of Finance, American Finance Association, vol. 68(4), pages 1633-1662, August.
- Ma, Feng & Lu, Xinjie & Liu, Jia & Huang, Dengshi, 2022. "Macroeconomic attention and stock market return predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
- Zhang, Yaojie & Ma, Feng & Liao, Yin, 2020. "Forecasting global equity market volatilities," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1454-1475.
- Mark J. Flannery & Aris A. Protopapadakis, 2002. "Macroeconomic Factors Do Influence Aggregate Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 751-782.
- McQueen, Grant & Roley, V Vance, 1993. "Stock Prices, News, and Business Conditions," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 683-707.
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Keywords
Economic uncertainty; International volatility forecasting; Transmission channel;All these keywords.
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