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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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    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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