Stock returns,trading volume,and volatility: The case of African stock markets |
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Affiliation: | 1. Mercer University Stetson-Hatcher School of Business (SHSB), 1501 Mercer University Drive, Macon, GA 32107, United States of America;2. University of North Carolina Wilmington Cameron School of Business, 601 S. College Road, Wilmington, NC 28403, United States of America;1. School of Economics and Management, Southwest Jiaotong University, Chengdu, China;2. Service Science and Innovation Key Laboratory of Sichuan Province, China;1. Adam Smith Business School, University of Glasgow, Glasgow, UK;2. Essex Business School, University of Essex, Colchester, UK |
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Abstract: | The presence of the African Stock Markets (ASMs) in the global frontier markets indices confirms their global portfolio diversification role. This study investigates the asymmetric and intertemporal causality among the stock returns, trading volume, and volatility of eight ASMs. Results based on the linear model reveal that return generally Granger cause trading volume. However, evidence from the quantile regression shows that lagged trading volume has a negative causal effect on returns at low quantiles and positive causal effects at high quantiles. This evidence is consistent with volume-return equilibrium models, disposition and overconfidence models, and information asymmetry models. The positive causal effects of volatility on volume support the dispersion of beliefs model. In contrast, intertemporal evidence of contemporaneous and lagged causal relationships from trading volume to volatility supports the mixture of distribution hypothesis, sequential information acquisition hypothesis, and dynamic efficient market hypothesis. Volume-return and return-volume causality dynamics are quantile-specific and therefore driven by market conditions. However, the volume-volatility causality is dependent on volatility regimes. The linear model results confirm how model misspecification can distort and even reverse empirical evidence relative to nonlinear models. |
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