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How Differently Does Oil Price Influences BRICS Stock Markets?

Author

Listed:
  • Jamal Bouoiyour

    (CATT - Centre d'Analyse Théorique et de Traitement des données économiques - UPPA - Université de Pau et des Pays de l'Adour)

  • Refk Selmi

    (CATT - Centre d'Analyse Théorique et de Traitement des données économiques - UPPA - Université de Pau et des Pays de l'Adour)

Abstract

This article explores the strength and extent of causal relationship between BRICS (Brazil, Russia, India, China and South Africa) stock returns and real oil price using frequency domain approach of Breitung and Candelon (2006). This technique offers an appropriate alternative tool by investigating the causality in frequency domain, while standard causality tests focus only on the time domain. Using 1998-2015 quarterly data, we show that the impact of oil price on stock returns is not uniform across the investigated countries. Even though the slowly (quickly) fluctuating components of oil price exert a significant influence on real stock returns in Brazil and Russia (India and South Africa), medium and long term hidden factors were found as potential contributors of Chinese share market. The oil dependence profile, the distribution of market share between companies, the financial system efficiency and the effectiveness of regulation in securities markets have been offered to explain the heterogeneous responses of BRICS equities.

Suggested Citation

  • Jamal Bouoiyour & Refk Selmi, 2016. "How Differently Does Oil Price Influences BRICS Stock Markets?," Post-Print hal-01879674, HAL.
    • Handle: RePEc:hal:journl:hal-01879674
    DOI: 10.11130/jei.2016.31.3.547
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    Citations

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    Cited by:

    1. Julia Kielmann & Hans Manner & Aleksey Min, 2022. "Stock market returns and oil price shocks: A CoVaR analysis based on dynamic vine copula models," Empirical Economics, Springer, vol. 62(4), pages 1543-1574, April.
    2. Naeem, Muhammad Abubakr & Pham, Linh & Senthilkumar, Arunachalam & Karim, Sitara, 2022. "Oil shocks and BRIC markets: Evidence from extreme quantile approach," Energy Economics, Elsevier, vol. 108(C).
    3. Gupta, Rangan & Nel, Jacobus & Nielsen, Joshua, 2023. "US monetary policy and BRICS stock market bubbles," Finance Research Letters, Elsevier, vol. 51(C).
    4. Chancharat, Surachai & Sinlapates, Parichat, 2023. "Dependences and dynamic spillovers across the crude oil and stock markets throughout the COVID-19 pandemic and Russia-Ukraine conflict: Evidence from the ASEAN+6," Finance Research Letters, Elsevier, vol. 57(C).
    5. Tiwari, Aviral Kumar & Trabelsi, Nader & Alqahtani, Faisal & Hammoudeh, Shawkat, 2019. "Analysing systemic risk and time-frequency quantile dependence between crude oil prices and BRICS equity markets indices: A new look," Energy Economics, Elsevier, vol. 83(C), pages 445-466.
    6. Salisu, Afees A. & Gupta, Rangan, 2021. "Oil shocks and stock market volatility of the BRICS: A GARCH-MIDAS approach," Global Finance Journal, Elsevier, vol. 48(C).
    7. Hazem Marashdeh & Akhsyim Afandi, 2017. "Oil Price Shocks and Stock Market Returns in the Three Largest Oil-producing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 7(5), pages 312-322.
    8. Xie, Qichang & Tang, Guoqiang, 2022. "Do market conditions interfere with the transmission of uncertainty from oil market to stock market? Evidence from a modified quantile-on-quantile approach," Energy Economics, Elsevier, vol. 114(C).
    9. Julia Kielmann & Hans Manner & Aleksey Min, 2021. "Stock Market Returns and Oil Price Shocks: A CoVaR Analysis based on Dynamic Vine Copula Models," Graz Economics Papers 2021-01, University of Graz, Department of Economics.

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