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Shock and Volatility Transmissions Across Global Commodity and Stock Markets Spillovers: Empirical Evidence from Africa

Author

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  • Ichraf Ben Flah

    (Accounting Department, College of Business, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyad 11432, Saudi Arabia)

  • Kaies Samet

    (Laboratory of Economics and Development, Faculty of Economic Sciences and Management of Sfax, University of Sfax, LR18ES26, Sfax 3018, Tunisia
    Higher Institute of Industrial Management of Sfax, University of Sfax, Sfax 3021, Tunisia)

  • Anis El Ammari

    (Faculty of Economics Sciences and Management of Mahdia, University of Monastir, Mahdia 5111, Tunisia)

  • Chokri Terzi

    (Laboratory of Economics and Industrial Management, Polytechnic School of Tunisia, University of Carthage, LR99ES22, Tunis 2078, Tunisia
    Faculty of Economic Sciences and Management of Nabeul, University of Carthage, Nabeul 8000, Tunisia)

Abstract

This paper investigates the link between commodity price volatility and stock market indices in Nigeria, Ghana, and Côte d’Ivoire, focusing on commodities such as oil, cocoa, and gold over a daily period from 2 January 2020 to 31 December 2021. In order to conduct this study, the BEKK-GARCH process is applied to test the volatility transmission across commodity and stock markets, while focusing on the asymmetry in the conditional variances of these markets. The analysis reveals a 30% increase in volatility spillovers during the COVID-19 period, highlighting significant asymmetry in conditional variances between African stock markets and global commodity markets. Furthermore, the findings demonstrate that conditional variances in stock and commodity markets are asymmetrical. This study advances the literature on volatility transmission by providing novel evidence on asymmetric spillovers between African stock markets and global commodity prices, particularly during COVID-19. It offers insights into the unique role of emerging African markets in global financial interconnectedness.

Suggested Citation

  • Ichraf Ben Flah & Kaies Samet & Anis El Ammari & Chokri Terzi, 2025. "Shock and Volatility Transmissions Across Global Commodity and Stock Markets Spillovers: Empirical Evidence from Africa," JRFM, MDPI, vol. 18(6), pages 1-17, June.
  • Handle: RePEc:gam:jjrfmx:v:18:y:2025:i:6:p:332-:d:1681378
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    References listed on IDEAS

    as
    1. Ahmed, Abdullahi D. & Huo, Rui, 2021. "Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China," Energy Economics, Elsevier, vol. 93(C).
    2. Louis Logogye & Godfred Aawaar & Kwasi Poku, 2024. "Regional and global shock spillovers to Africa’s equity markets: evidence from the global financial crisis and COVID-19 pandemic," SN Business & Economics, Springer, vol. 4(12), pages 1-31, December.
    3. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2013. "Conditional correlations and volatility spillovers between crude oil and stock index returns," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 116-138.
    4. Agnolucci, Paolo, 2009. "Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models," Energy Economics, Elsevier, vol. 31(2), pages 316-321, March.
    5. Afees A. Salisu & Tirimisiyu F. Oloko, 2015. "Modelling spillovers between stock market and FX market: evidence for Nigeria," Journal of African Business, Taylor & Francis Journals, vol. 16(1-2), pages 84-108, January.
    6. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael, 2009. "Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 829-842, August.
    7. Tsuji, Chikashi, 2018. "Return transmission and asymmetric volatility spillovers between oil futures and oil equities: New DCC-MEGARCH analyses," Economic Modelling, Elsevier, vol. 74(C), pages 167-185.
    8. Godfred Aawaar & Louis Logogye & Daniel Domeher, 2023. "Equity return volatility in Africa’s stock markets: A dynamic panel approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(2), pages 2258704-225, October.
    9. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    10. Takyi, Paul Owusu & Bentum-Ennin, Isaac, 2021. "The impact of COVID-19 on stock market performance in Africa: A Bayesian structural time series approach," Journal of Economics and Business, Elsevier, vol. 115(C).
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