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Exploring the sensitivity of BRICS stock markets to oil Price shocks: a quantile-on-quantile perspective

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  • Bonga-Bonga, Lumengo

Abstract

This paper evaluates the impact of varying magnitudes of oil price shocks on the equity market returns in BRICS countries under diverse market conditions using quantile-on-quantile regression analysis. Uniquely, unlike previous studies, this paper differentiates between demand and supply oil price shocks, under the assumption of a perfectly elastic oil supply. This assumption is grounded in a structural vector autoregressive (SVAR) framework, enhancing the analysis's precision in identifying the specific nature of oil price shocks. The empirical findings reveal that the impact of demand oil price shocks on the equity markets of BRICS nations varies according to the resource endowment of each country, showing distinct effects between countries with greater and lesser resource endowments. Additionally, the influence of supply oil price shocks on equity markets differs based on the market conditions, specifically whether the countries are net oil importers or exporters. These findings offer critical insights for policymakers and investors in BRICS countries, enabling the development of economic and business strategies that are closely aligned with the unique economic conditions and characteristics of each nation.

Suggested Citation

  • Bonga-Bonga, Lumengo, 2024. "Exploring the sensitivity of BRICS stock markets to oil Price shocks: a quantile-on-quantile perspective," MPRA Paper 120190, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:120190
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    References listed on IDEAS

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    1. Baffes, John, 2007. "Oil spills on other commodities," Resources Policy, Elsevier, vol. 32(3), pages 126-134, September.
    2. Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
    3. Lutz Kilian & Cheolbeom Park, 2009. "The Impact Of Oil Price Shocks On The U.S. Stock Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1267-1287, November.
    4. Ge, Zhenyu, 2023. "The asymmetric impact of oil price shocks on China stock market: Evidence from quantile-on-quantile regression," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 120-125.
    5. Escribano, Ana & Koczar, Monika W. & Jareño, Francisco & Esparcia, Carlos, 2023. "Shock transmission between crude oil prices and stock markets," Resources Policy, Elsevier, vol. 83(C).
    6. Cunado, Juncal & Perez de Gracia, Fernando, 2014. "Oil price shocks and stock market returns: Evidence for some European countries," Energy Economics, Elsevier, vol. 42(C), pages 365-377.
    7. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2015. "Oil price and stock returns of consumers and producers of crude oil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 245-262.
    8. John Baffes & M. Ayhan Kose & Franziska Ohnsorge & Marc Stocker, 2015. "The Great Plunge in Oil Prices: Causes, Consequences, and Policy Responses," Koç University-TUSIAD Economic Research Forum Working Papers 1504, Koc University-TUSIAD Economic Research Forum.
    9. Hilde C. Bjørnland, 2009. "Oil Price Shocks And Stock Market Booms In An Oil Exporting Country," Scottish Journal of Political Economy, Scottish Economic Society, vol. 56(2), pages 232-254, May.
    10. Gurjeet Dhesi & Marcel Ausloos, 2016. "Modelling and Measuring the Irrational behaviour of Agents in Financial Markets: Discovering the Psychological Soliton," Papers 1601.01553, arXiv.org.
    11. Stocker,Marc & Baffes,John & Some,Y. Modeste & Vorisek,Dana Lauren & Wheeler,Collette Mari, 2018. "The 2014-16 oil price collapse in retrospect : sources and implications," Policy Research Working Paper Series 8419, The World Bank.
    12. Robert C Ready, 2018. "Oil Prices and the Stock Market [The vix, the variance premium and stock market volatility]," Review of Finance, European Finance Association, vol. 22(1), pages 155-176.
    13. Huiming Zhu & Yawei Guo & Wanhai You, 2015. "An empirical research of crude oil price changes and stock market in China: evidence from the structural breaks and quantile regression," Applied Economics, Taylor & Francis Journals, vol. 47(56), pages 6055-6074, December.
    14. Ausloos, Marcel, 2016. "Modelling and measuring the irrational behaviour of agents in financial markets: Discovering the psychological solitonAuthor-Name: Dhesi, Gurjeet," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 119-125.
    15. Al-Fayoumi, Nedal & Bouri, Elie & Abuzayed, Bana, 2023. "Decomposed oil price shocks and GCC stock market sector returns and volatility," Energy Economics, Elsevier, vol. 126(C).
    16. Richard S. Dale & Johnnie E. V. Johnson & Leilei Tang, 2005. "Financial markets can go mad: evidence of irrational behaviour during the South Sea Bubble," Economic History Review, Economic History Society, vol. 58(2), pages 233-271, May.
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    More about this item

    Keywords

    oil price shocks; stock markets; BRICS; quantile-on-quantile;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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