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The Relationship between Stock Market Volatility and Trading Volume: Evidence from South Africa

Author

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  • Pramod Kumar Naik

    (Department of Economics, The Central University of Rajasthan, India)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, South Africa.)

  • Puja Padhi

    (Department of Humanities and Social Sciences, Indian Institute of Technology, Bombay, India)

Abstract

This paper revisits the relationship between equity trading volume and returns volatility for the Johannesburg Stock Exchange (JSE) of South Africa using daily data over the period of 6th July 2006 to 31st August 2016. Further, we analyzed an after-crisis period, i.e., 1/04/2008 to 8/31/2016, in order to verify the findings immediately after the sub-prime crisis. EGARCH and Granger causality models were employed to analyse the volume-volatility relationship. Also the level of volatility persistence has been compared before and after the inclusion of trading volume in the volatility model as an exogenous variable. The analysis shows that the JSE exhibits volatility asymmetry implying that the return volatility responds more to the bad news than the good news. The relationship between trading volume and market volatility is found to be positive and contemporaneous supporting the mixture of distribution hypothesis. But lagged volume is found to be statistically insignificant in explaining volatility. We also uncover that the volatility persistence remains high even after the inclusion of trading volume as an explanatory variable in the volatility model. The above set of results also holds for the post-crisis sub-sample. Furthermore, the pairwise Granger causality tests indicate a feedback relationship between volume and volatility only in the case of the sub-sample. But for the full sample we find a unidirectional causality between volume and volatility, with trading volume Granger causes market volatility.

Suggested Citation

  • Pramod Kumar Naik & Rangan Gupta & Puja Padhi, 2016. "The Relationship between Stock Market Volatility and Trading Volume: Evidence from South Africa," Working Papers 201689, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201689
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    5. Lorraine Muguto & Paul-Francois Muzindutsi, 2022. "A Comparative Analysis of the Nature of Stock Return Volatility in BRICS and G7 Markets," JRFM, MDPI, vol. 15(2), pages 1-27, February.
    6. Talla M Aldeehani, 2019. "Have Stock Markets Become Less Volatile After the Great Recession?," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(3), pages 10-25, December.
    7. Johann Lussange & Stefano Vrizzi & Stefano Palminteri & Boris Gutkin, 2024. "Modelling crypto markets by multi-agent reinforcement learning," Papers 2402.10803, arXiv.org.
    8. Ngene, Geoffrey M. & Mungai, Ann Nduati, 2022. "Stock returns, trading volume, and volatility: The case of African stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
    9. Jaber Yasmina, 2020. "Transactions Volume, Exchange Direction and Asymmetry of Volatility in Emerging Market: Evidence From Tunisian Stock Exchange," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(6), pages 318-336, December.
    10. Afees A. Salisu & Rangan Gupta, 2021. "Commodity Prices and Forecastability of South African Stock Returns Over a Century: Sentiments versus Fundamentals," Working Papers 202144, University of Pretoria, Department of Economics.
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    More about this item

    Keywords

    Asymmetric volatility; Trading volume; EGARCH; South Africa; Volatility persistence;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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