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Geopolitical Risks, Returns, and Volatility in Emerging Stock Markets: Evidence from a Panel GARCH Model

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  • Christos Bouras
  • Christina Christou
  • Rangan Gupta
  • Tahir Suleman

Abstract

In this article, we analyze the role of country-specific and global geopolitical risks (GPRs) on the returns and volatility of 18 emerging market economies over the monthly period of 1998:11 to 2017:06. For our purpose, we use a panel Generalized Autoregressive Conditional Heteroskedasticity (GARCH) approach, which offers substantial efficiency gains in estimating the conditional variance and covariance processes by accounting for interdependencies and heterogeneity across economies, unlikein a time series-based GARCH model. We find that, while country-specific GPRs do not have an impact on stock returns, and the positive effect on equity market volatility is statistically weak. But when we consider a broad measure of global GPR, though there is still no significant effect on returns, the impact on volatility is both economically and statistically stronger than that obtained under the country-specific GPRs, thus highlighting the dominance of global rather than domestic shocks.

Suggested Citation

  • Christos Bouras & Christina Christou & Rangan Gupta & Tahir Suleman, 2020. "Geopolitical Risks, Returns, and Volatility in Emerging Stock Markets: Evidence from a Panel GARCH Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(8), pages 1841-1856, July.
    • Handle: RePEc:mes:emfitr:v:55:y:2020:i:8:p:1841-1856
    DOI: 10.1080/1540496X.2018.1507906
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    1. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark E. Wohar, 2018. "Terror attacks and stock-market fluctuations: evidence based on a nonparametric causality-in-quantiles test for the G7 countries," The European Journal of Finance, Taylor & Francis Journals, vol. 24(4), pages 333-346, March.
    2. Christos Kollias & Stephanos Papadamou & Apostolos Stagiannis, 2010. "Armed Conflicts And Capital Markets: The Case Of The Israeli Military Offensive In The Gaza Strip," Defence and Peace Economics, Taylor & Francis Journals, vol. 21(4), pages 357-365.
    3. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.
    4. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    5. Elie Bouri & Riza Demirer & Rangan Gupta & Hardik A. Marfatia, 2019. "Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(3), pages 367-379, April.
    6. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    7. Kollias, Christos & Papadamou, Stephanos & Stagiannis, Apostolos, 2011. "Terrorism and capital markets: The effects of the Madrid and London bomb attacks," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 532-541, October.
    8. Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian & Wohar, Mark E., 2017. "Do terror attacks predict gold returns? Evidence from a quantile-predictive-regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 276-284.
    9. Lee, Jim, 2010. "The link between output growth and volatility: Evidence from a GARCH model with panel data," Economics Letters, Elsevier, vol. 106(2), pages 143-145, February.
    10. Suleman, Tahir & Gupta, Rangan & Balcilar, Mehmet, 2017. "Does country risks predict stock returns and volatility? Evidence from a nonparametric approach," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1173-1195.
    11. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
    12. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    13. Balcilar, Mehmet & Bonato, Matteo & Demirer, Riza & Gupta, Rangan, 2018. "Geopolitical risks and stock market dynamics of the BRICS," Economic Systems, Elsevier, vol. 42(2), pages 295-306.
    14. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-229, March.
    15. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    16. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    17. Christos Kollias & Stephanos Papadamou & Vangelis Arvanitis, 2013. "Symposium - Does Terrorism Affect the Stock-Bond Covariance? Evidence from European Countries," Southern Economic Journal, John Wiley & Sons, vol. 79(4), pages 832-848, April.
    18. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016. "Do Terror Attacks Affect the Dollar-Pound Exchange Rate? A Nonparametric Causality-in-Quantiles Analysis," Working Papers 201615, University of Pretoria, Department of Economics.
    19. Christos Kollias & Catherine Kyrtsou & Stephanos Papadamou, 2011. "The Effects of Terrorism and War on the Oil and Prices Stock Indices Relationship," Economics of Security Working Paper Series 57, DIW Berlin, German Institute for Economic Research.
    20. Kollias, Christos & Manou, Efthalia & Papadamou, Stephanos & Stagiannis, Apostolos, 2011. "Stock markets and terrorist attacks: Comparative evidence from a large and a small capitalization market," European Journal of Political Economy, Elsevier, vol. 27(S1), pages 64-77.
    21. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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