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Geopolitical risk and stock market volatility in emerging markets: A GARCH – MIDAS approach

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  • Salisu, Afees A.
  • Ogbonna, Ahamuefula E.
  • Lasisi, Lukman
  • Olaniran, Abeeb

Abstract

In this study, we examine the connection between geopolitical risk (GPR) and stock market volatility in emerging economies. Our motivation for this study is premised on the need to assess both the predictability and the associated economic gains in relation to the subject in order to offer more useful insights to investors and practitioners. To the best of our knowledge, this is the first study that jointly considers these objectives. Consequently, we employ the GARCH-MIDAS framework which accommodates mixed data frequencies thereby circumventing information loss or any associated bias. We find that emerging stock market volatility responds more positively to geopolitical risks although the act-related GPR index offers better out-of-sample forecasts than the threat-related GPR. We also find that accounting for global economic factors in the predictability analysis is crucial for robust outcomes. Finally, we provide some utility gains of including GPR in the predictive model of stock market volatility while also highlighting some useful implications of our findings for investment and policy decisions.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecofin:v:62:y:2022:i:c:s1062940822001024
    DOI: 10.1016/j.najef.2022.101755
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    1. 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).
    2. He, Zhifang & Sun, Hao, 2024. "The time-varying and asymmetric impacts of oil price shocks on geopolitical risk," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 942-957.
    3. Salisu, Afees A. & Isah, Kazeem & Oloko, Tirimisiyu O., 2024. "Technology shocks and crude oil market connection: The role of climate change," Energy Economics, Elsevier, vol. 130(C).
    4. Kejin Wu & Sayar Karmakar & Rangan Gupta, 2023. "GARCHX-NoVaS: A Model-free Approach to Incorporate Exogenous Variables," Papers 2308.13346, arXiv.org, revised Sep 2024.
    5. Khraiche, Maroula & Boudreau, James W. & Chowdhury, Md Shahedur R., 2023. "Geopolitical risk and stock market development," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    6. Wu, Xinyu & Zhao, An & Cheng, Tengfei, 2023. "A Real-Time GARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 56(C).
    7. Li, Xin & Tong, Yan & Zhong, Kai & Xu, Guoquan & Zhao, Wenyi, 2024. "Geopolitical risk and foreign subsidiary performance of emerging market multinationals," Journal of Multinational Financial Management, Elsevier, vol. 72(C).
    8. Pan, Changchun & Zhang, Weiqi & Wang, Weiqiang, 2023. "Global geopolitical risk and volatility connectedness among China's sectoral stock markets," Finance Research Letters, Elsevier, vol. 58(PC).
    9. Lee, Chien-Chiang & Wang, Chih-Wei & Thinh, Bui Tien & Purnama, Muhammad Yusuf Indra, 2023. "Cash holdings and cash flows: Do oil price uncertainty and geopolitical risk matter?," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 134-152.
    10. Kai‐Hua Wang & Zu‐Shan Wang & Hong‐Wen Liu & Xin Li, 2023. "Economic policy uncertainty and geopolitical risk: evidence from China and Southeast Asia," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 37(2), pages 96-118, November.
    11. Tumala, Mohammed M. & Salisu, Afees A. & Gambo, Ali I., 2023. "Disentangled oil shocks and stock market volatility in Nigeria and South Africa: A GARCH-MIDAS approach," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 707-717.
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    13. Salisu, Afees A. & Olaniran, Abeeb & Lasisi, Lukman, 2023. "Climate risk and gold," Resources Policy, Elsevier, vol. 82(C).

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    More about this item

    Keywords

    Geopolitical risk; Stock market volatility; Emerging markets; GARCH-MIDAS;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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