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Modeling Volatility Dynamics in Emerging Markets: Novel Evidence From Large Set of Predictors

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  • Maria Ghani
  • Quande Qin
  • Subuhi Khan

Abstract

This study examines the effectiveness of different predictors to forecast volatility of E7 emerging markets. First, we employ the economic uncertainty factors information to find out the economic impact on stock market volatility. Second, we used the geopolitical uncertainty factor information to explore the influence of geopolitical events on stock market volatility. Third, we investigate the climate risk factors to forecast the stock market volatility. Fourth, we examine the energy market–related uncertainty factors' impact on equity market volatility (EMV). The out‐of‐sample results show that among all predictors, economic policy uncertainty (EPU), EMV, geopolitical risk (GPR), and the environmental social and governance (ESG) index have the better forecasting ability to predict stock market volatility. Additionally, we find evidence during different business conditions, recession and expansion, and the most recent COVID‐19 pandemic. The results are identical during recession periods and COVID‐19 pandemic. Notably, these indices proved their superior predictive performance for volatility estimation. Finally, to ensure the robustness of our findings, we use different forecasting window method. Considering a range of uncertainty factors allows for a more comprehensive understanding of market fluctuations. These results suggest that policymakers and investors should consider the volatility dynamics of uncertainty factors in financial decision‐making and policy realms.

Suggested Citation

  • Maria Ghani & Quande Qin & Subuhi Khan, 2025. "Modeling Volatility Dynamics in Emerging Markets: Novel Evidence From Large Set of Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(8), pages 2364-2385, December.
    • Handle: RePEc:wly:jforec:v:44:y:2025:i:8:p:2364-2385
    DOI: 10.1002/for.70009
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    1. Umar, Muhammad & Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Furqan, Mehreen, 2023. "Asymmetric volatility structure of equity returns: Evidence from an emerging market," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 330-336.
    2. Chao Liang & Yin Liao & Feng Ma & Bo Zhu, 2022. "United States Oil Fund volatility prediction: the roles of leverage effect and jumps," Empirical Economics, Springer, vol. 62(5), pages 2239-2262, May.
    3. Ko, Jun-Hyung & Lee, Chang-Min, 2015. "International economic policy uncertainty and stock prices: Wavelet approach," Economics Letters, Elsevier, vol. 134(C), pages 118-122.
    4. Yu, Honghai & Fang, Libing & Sun, Wencong, 2018. "Forecasting performance of global economic policy uncertainty for volatility of Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 931-940.
    5. Aastha Khera & Anisha Goyal & Miklesh Prasad Yadav, 2022. "Capturing the stock market volatility: a study of sectoral indices in India using symmetric GARCH models," International Journal of Management Practice, Inderscience Enterprises Ltd, vol. 15(6), pages 820-833.
    6. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    7. Feng Ma & Xinjie Lu & Lu Wang & Julien Chevallier, 2021. "Global economic policy uncertainty and gold futures market volatility: Evidence from Markov regime‐switching GARCH‐MIDAS models," Post-Print halshs-04250272, HAL.
    8. Bouri, Elie & Gupta, Rangan & Hosseini, Seyedmehdi & Lau, Chi Keung Marco, 2018. "Does global fear predict fear in BRICS stock markets? Evidence from a Bayesian Graphical Structural VAR model," Emerging Markets Review, Elsevier, vol. 34(C), pages 124-142.
    9. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2020. "Economic indicators and stock market volatility in an emerging economy," Economic Systems, Elsevier, vol. 44(2).
    10. Abugri, Benjamin A., 2008. "Empirical relationship between macroeconomic volatility and stock returns: Evidence from Latin American markets," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 396-410.
    11. Feng Ma & Xinjie Lu & Lu Wang & Julien Chevallier, 2021. "Global economic policy uncertainty and gold futures market volatility: Evidence from Markov regime‐switching GARCH‐MIDAS models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1070-1085, September.
    12. Robert Krol, 2014. "Economic Policy Uncertainty and Exchange Rate Volatility," International Finance, Wiley Blackwell, vol. 17(2), pages 241-256, June.
    13. Kannadhasan, M. & Das, Debojyoti, 2020. "Do Asian emerging stock markets react to international economic policy uncertainty and geopolitical risk alike? A quantile regression approach," Finance Research Letters, Elsevier, vol. 34(C).
    14. Liu, Jing & Ma, Feng & Tang, Yingkai & Zhang, Yaojie, 2019. "Geopolitical risk and oil volatility: A new insight," Energy Economics, Elsevier, vol. 84(C).
    15. Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
    16. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    17. Chang, Tsangyao & Chen, Wen-Yi & Gupta, Rangan & Nguyen, Duc Khuong, 2015. "Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test," Economic Systems, Elsevier, vol. 39(2), pages 288-300.
    18. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
    19. Arin, K. Peren & Ciferri, Davide & Spagnolo, Nicola, 2008. "The price of terror: The effects of terrorism on stock market returns and volatility," Economics Letters, Elsevier, vol. 101(3), pages 164-167, December.
    20. Morelli, David, 2002. "The relationship between conditional stock market volatility and conditional macroeconomic volatility: Empirical evidence based on UK data," International Review of Financial Analysis, Elsevier, vol. 11(1), pages 101-110.
    21. Yaming Ma & Ziwei Wang & Feng He, 2022. "How do economic policy uncertainties affect stock market volatility? Evidence from G7 countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2303-2325, April.
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