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Dynamic relationship between trading volume, returns and returns volatility: an empirical investigation on the main African’s stock markets

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  • Daouda Lawa tan Toe

    (University Thomas SANKARA (UTS))

  • Salifou Ouedraogo

    (University Thomas SANKARA (UTS))

Abstract

In this empirical investigation, we examine the relationship between trading volume, return and volatility for eleven African Stock Exchanges. This study covers the period from September 24, 2010 to September 24, 2020, i.e., a total of 3037 daily observations per country. The relationship between trading volume and return is examined using the Granger causality test. For the relationship between trading volume and returns volatility, we use an asymmetric EGARCH (1, 1) model. The results indicate that returns do not cause volume while volume causes return in some countries’ Stock Exchanges. Regarding the volatility of the daily return, the study shows on the one hand that the persistence in the volatility is low and the trading volume increases this persistence on the majority of Stock Exchanges. On the other hand, lag trading volume affects the daily volatility of the markets.

Suggested Citation

  • Daouda Lawa tan Toe & Salifou Ouedraogo, 2022. "Dynamic relationship between trading volume, returns and returns volatility: an empirical investigation on the main African’s stock markets," Journal of Asset Management, Palgrave Macmillan, vol. 23(5), pages 429-444, September.
    • Handle: RePEc:pal:assmgt:v:23:y:2022:i:5:d:10.1057_s41260-022-00274-0
    DOI: 10.1057/s41260-022-00274-0
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    More about this item

    Keywords

    Trading volume; Volatility; EGARCH model; Granger causality test;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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