War discourse predicts stock market volatility: A century of evidence
Author
Abstract
Suggested Citation
DOI: 10.1016/j.frl.2025.107567
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Dario Caldara & Matteo Iacoviello, 2022.
"Measuring Geopolitical Risk,"
American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
- Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," 2018 Meeting Papers 79, Society for Economic Dynamics.
- Dario Caldara & Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," International Finance Discussion Papers 1222r1, Board of Governors of the Federal Reserve System (U.S.), revised 23 Mar 2022.
- Yilmazkuday, Hakan, 2025. "Geopolitical risks and exchange rates," Finance Research Letters, Elsevier, vol. 74(C).
- 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).
- Boungou, Whelsy & Yatié, Alhonita, 2022.
"The impact of the Ukraine–Russia war on world stock market returns,"
Economics Letters, Elsevier, vol. 215(C).
- Whelsy BOUNGOU & Alhonita YATIE, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Bordeaux Economics Working Papers 2022-06, Bordeaux School of Economics (BSE).
- Whelsy Boungou & Alhonita Yatie, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Working Papers hal-03623580, HAL.
- Whelsy Boungou & Alhonita Yatié, 2022. "The impact of the Ukraine–Russia war on world stock market returns," Post-Print hal-03675532, HAL.
- Whelsy Boungou & Alhonita Yatie, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Working Papers hal-03624985, HAL.
- Whelsy Boungou & Alhonita Yatié, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Working Papers hal-03610963, HAL.
- Victor DeMiguel & Lorenzo Garlappi & Raman Uppal, 2009. "Optimal Versus Naive Diversification: How Inefficient is the 1-N Portfolio Strategy?," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1915-1953, May.
- Paye, Bradley S., 2012. "‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables," Journal of Financial Economics, Elsevier, vol. 106(3), pages 527-546.
- Amit Goyal & Ivo Welch & Athanasse Zafirov, 2024. "A Comprehensive 2022 Look at the Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 37(11), pages 3490-3557.
- Mei, Dexiang & Ma, Feng & Liao, Yin & Wang, Lu, 2020. "Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models," Energy Economics, Elsevier, vol. 86(C).
- Cai, Xiqian & Cheng, Zhengquan & Li, Dongxu, 2024. "Balancing against geopolitical risk: Household investment portfolios during the U.S.-China trade war," Finance Research Letters, Elsevier, vol. 66(C).
- Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2012.
"A comprehensive look at financial volatility prediction by economic variables,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 956-977, September.
- Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2010. "A Comprehensive Look at Financial Volatility Prediction by Economic Variables," CREATES Research Papers 2010-58, Department of Economics and Business Economics, Aarhus University.
- Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2012. "A Comprehensive Look at Financial Volatility Prediction by Economic Variables," BIS Working Papers 374, Bank for International Settlements.
- Erwan Le Saout, 2024. "The impact of the war in Ukraine on the idiosyncratic risk and the market risk," Post-Print hal-04492176, HAL.
- Gustavo S. Cortes & Angela Vossmeyer & Marc D. Weidenmier, 2022. "Stock Volatility and the War Puzzle: The Military Demand Channel," NBER Working Papers 29837, National Bureau of Economic Research, Inc.
- Tim Bollerslev & Viktor Todorov, 2011.
"Tails, Fears, and Risk Premia,"
Journal of Finance, American Finance Association, vol. 66(6), pages 2165-2211, December.
- Tim Bollerslev & Viktor Todorov, 2009. "Tails, Fears and Risk Premia," CREATES Research Papers 2009-26, Department of Economics and Business Economics, Aarhus University.
- Tim Bollerslev & Viktor Todorov, 2010. "Tails, Fears and Risk Premia," Working Papers 10-33, Duke University, Department of Economics.
- Daniel Andrei & Michael Hasler, 2015. "Investor Attention and Stock Market Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 33-72.
- Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2018. "Forecasting the prices of crude oil using the predictor, economic and combined constraints," Economic Modelling, Elsevier, vol. 75(C), pages 237-245.
- Yilmazkuday, Hakan, 2024.
"Geopolitical risk and stock prices,"
European Journal of Political Economy, Elsevier, vol. 83(C).
- Hakan Yilmazkuday, 2024. "Geopolitical Risk and Stock Prices," Working Papers 2407, Florida International University, Department of Economics.
- Ma, Feng & Lu, Fei & Tao, Ying, 2022. "Geopolitical risk and excess stock returns predictability: New evidence from a century of data," Finance Research Letters, Elsevier, vol. 50(C).
- 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.
- Jiang, Yong & Klein, Tony & Ren, Yi-Shuai & Dai, Jia-Hang, 2025. "Through the looking glass: Unveiling geopolitical risks and sovereign bond spillovers in the eurozone," International Review of Financial Analysis, Elsevier, vol. 103(C).
- Manela, Asaf & Moreira, Alan, 2017. "News implied volatility and disaster concerns," Journal of Financial Economics, Elsevier, vol. 123(1), pages 137-162.
- Ruipeng Liu & Rangan Gupta, 2022.
"Investors’ Uncertainty and Forecasting Stock Market Volatility,"
Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(3), pages 327-337, July.
- Ruipeng Liu & Rangan Gupta, 2020. "Investors' Uncertainty and Forecasting Stock Market Volatility," Working Papers 202090, University of Pretoria, Department of Economics.
- Fernandez, Viviana, 2008. "The war on terror and its impact on the long-term volatility of financial markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 1-26.
- 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.
- Ivo Welch & Amit Goyal, 2008.
"A Comprehensive Look at The Empirical Performance of Equity Premium Prediction,"
The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
- Amit Goyal & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," Yale School of Management Working Papers amz2412, Yale School of Management, revised 01 Jan 2006.
- Amit Goyal & Ivo Welch & Athanasse Zafirov, 2021. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction II," Swiss Finance Institute Research Paper Series 21-85, Swiss Finance Institute.
- Amit Goval & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," NBER Working Papers 10483, National Bureau of Economic Research, Inc.
- Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
- Liu, Li & Pan, Zhiyuan, 2020. "Forecasting stock market volatility: The role of technical variables," Economic Modelling, Elsevier, vol. 84(C), pages 55-65.
- Soliman, Alain & Le Saout, Erwan, 2024. "The impact of the war in Ukraine on the idiosyncratic risk and the market risk," Finance Research Letters, Elsevier, vol. 60(C).
- Nonejad, Nima, 2017. "Forecasting aggregate stock market volatility using financial and macroeconomic predictors: Which models forecast best, when and why?," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 131-154.
- Hakan Yilmazkuday, 2023.
"COVID-19 effects on the S&P 500 index,"
Applied Economics Letters, Taylor & Francis Journals, vol. 30(1), pages 7-13, January.
- Hakan Yilmazkuday, 2021. "COVID-19 Effects on the S&P 500 Index," Working Papers 2117, Florida International University, Department of Economics.
- Liang, Chao & Wang, Lu & Duong, Duy, 2024. "More attention and better volatility forecast accuracy: How does war attention affect stock volatility predictability?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 1-19.
- Ahmed, Neveen & Tanos, Barbara Abou & Farooq, Omar & Bouaddi, Mohammed, 2025. "Economic policy uncertainty and active management: Evidence from SRI funds," Finance Research Letters, Elsevier, vol. 79(C).
- Blasco, Natividad & Casas, Luis & Ferreruela, Sandra, 2024. "Does war spread the herding effect in stock markets? Evidence from emerging and developed markets during the Russia-Ukraine war," Finance Research Letters, Elsevier, vol. 63(C).
- Whitney Newey & Kenneth West, 2014.
"A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix,"
Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
- Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-708, May.
- Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
- Wang, Yudong & Wei, Yu & Wu, Chongfeng & Yin, Libo, 2018. "Oil and the short-term predictability of stock return volatility," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 90-104.
- Salisu, Afees A. & Ogbonna, Ahamuefula E. & Lasisi, Lukman & Olaniran, Abeeb, 2022. "Geopolitical risk and stock market volatility in emerging markets: A GARCH – MIDAS approach," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
- Guidolin, Massimo & Timmermann, Allan, 2006.
"Term structure of risk under alternative econometric specifications,"
Journal of Econometrics, Elsevier, vol. 131(1-2), pages 285-308.
- Timmermann, Allan & Guidolin, Massimo, 2004. "Term Structure of Risk Under Alternative Econometric Specifications," CEPR Discussion Papers 4645, Centre for Economic Policy Research.
- Massimo Guidolin & Allan Timmerman, 2005. "Term structure of risk under alternative econometric specifications," Working Papers 2005-001, Federal Reserve Bank of St. Louis.
- Yu, Haonan & Tian, Shan, 2025. "Impact of corporate financialization constraints on export activities: Analysis of the moderating effect of economic policy uncertainty," Finance Research Letters, Elsevier, vol. 79(C).
- David E. Rapach & Jack K. Strauss & Guofu Zhou, 2010. "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 821-862, February.
- Jian Chen & Jiaquan Yao & Qunzi Zhang & Xiaoneng Zhu, 2023. "Global Disaster Risk Matters," Management Science, INFORMS, vol. 69(1), pages 576-597, January.
- Su, Xiaomei & Razi, Ummara & Zhao, Shangmei & Li, Wei & Gu, Xiao & Yan, Jiale, 2025. "Geopolitical risk and energy markets in China," International Review of Financial Analysis, Elsevier, vol. 103(C).
- Zhang, Yaojie & Ma, Feng & Shi, Benshan & Huang, Dengshi, 2018. "Forecasting the prices of crude oil: An iterated combination approach," Energy Economics, Elsevier, vol. 70(C), pages 472-483.
- Martins, António Miguel, 2024. "Global equity, commodities and bond market response to Israel-Hamas war," Finance Research Letters, Elsevier, vol. 67(PB).
- David Hirshleifer & Dat Mai & Kuntara Pukthuanthong, 2025. "War Discourse and Disaster Premium: 160 Years of Evidence from the Stock Market," The Review of Financial Studies, Society for Financial Studies, vol. 38(2), pages 457-506.
- Li Liu & Feng Ma & Qing Zeng & Yaojie Zhang, 2020. "Forecasting the aggregate stock market volatility in a data-rich world," Applied Economics, Taylor & Francis Journals, vol. 52(32), pages 3448-3463, June.
- Hudson, Robert & Urquhart, Andrew, 2015. "War and stock markets: The effect of World War Two on the British stock market," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 166-177.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Zheng, Dengjin & Gao, Jingtian & Zhang, Wei & Kwon, Jiwon, 2025. "When real estate trembles: Spillover effects on stock price volatility under China’s “Three Red Lines” policy," Finance Research Letters, Elsevier, vol. 86(PB).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Dai, Zhifeng & Zhang, Xiaotong & Li, Tingyu, 2023. "Forecasting stock return volatility in data-rich environment: A new powerful predictor," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
- He, Mengxi & Wang, Yudong & Zeng, Qing & Zhang, Yaojie, 2023. "Forecasting aggregate stock market volatility with industry volatilities: The role of spillover index," Research in International Business and Finance, Elsevier, vol. 65(C).
- Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2021. "Realized skewness and the short-term predictability for aggregate stock market volatility," Economic Modelling, Elsevier, vol. 103(C).
- Yuan, Xianghui & Li, Xiang, 2022. "Delta-hedging demand and intraday momentum: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
- Ma, Feng & Liu, Jing & Wahab, M.I.M. & Zhang, Yaojie, 2018. "Forecasting the aggregate oil price volatility in a data-rich environment," Economic Modelling, Elsevier, vol. 72(C), pages 320-332.
- Guo, Yangli & Ma, Feng & Li, Haibo & Lai, Xiaodong, 2022. "Oil price volatility predictability based on global economic conditions," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Li, Dakai, 2024. "Forecasting stock market realized volatility: The role of investor attention to the price of petroleum products," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 115-122.
- Ma, Feng & Guo, Yangli & Chevallier, Julien & Huang, Dengshi, 2022. "Macroeconomic attention, economic policy uncertainty, and stock volatility predictability," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Niu, Zibo & Wang, Chenlu & Zhang, Hongwei, 2023. "Forecasting stock market volatility with various geopolitical risks categories: New evidence from machine learning models," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Zhou, Mingtao & Ma, Yong, 2025. "Climate risk and predictability of global stock market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 101(C).
- Gong, Xue & Zhang, Weiguo & Wang, Junbo & Wang, Chao, 2022. "Investor sentiment and stock volatility: New evidence," International Review of Financial Analysis, Elsevier, vol. 80(C).
- Li, Xiaodan & Gong, Xue & Ge, Futing & Huang, Jingjing, 2024. "Forecasting stock volatility using pseudo-out-of-sample information," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 123-135.
- Song, Ziyu & Gong, Xiaomin & Zhang, Cheng & Yu, Changrui, 2023. "Investor sentiment based on scaled PCA method: A powerful predictor of realized volatility in the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 528-545.
- Liu, Guangqiang & Guo, Xiaozhu, 2022. "Forecasting stock market volatility using commodity futures volatility information," Resources Policy, Elsevier, vol. 75(C).
- He, Mengxi & Wen, Danyan & Xing, Lu & Zhang, Yaojie, 2024. "Industry volatility concentration and the predictability of aggregate stock market volatility," International Review of Economics & Finance, Elsevier, vol. 95(C).
- Ana Sofia Monteiro & Helder Sebastião & Nuno Silva, 2025. "Prediction and Allocation of Stocks, Bonds, and REITs in the US Market," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1191-1230, March.
- Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2024. "Forecasting crude oil market volatility: A comprehensive look at uncertainty variables," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1022-1041.
- Cui, Xudong & Gong, Pu & Liu, Tong, 2025. "The disposition effect and market volatility prediction," International Review of Financial Analysis, Elsevier, vol. 108(PB).
- Souropanis, Ioannis & Vivian, Andrew, 2023. "Forecasting realized volatility with wavelet decomposition," Journal of Empirical Finance, Elsevier, vol. 74(C).
- Liang, Chao & Wang, Lu & Duong, Duy, 2024. "More attention and better volatility forecast accuracy: How does war attention affect stock volatility predictability?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 1-19.
More about this item
Keywords
; ; ; ; ; ;JEL classification:
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- G4 - Financial Economics - - Behavioral Finance
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:82:y:2025:i:c:s1544612325008268. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/finlet/v82y2025ics1544612325008268.html