Stock returns, trading volume, and volatility: The case of African stock markets

被引:17
|
作者
Ngene, Geoffrey M. [1 ]
Mungai, Ann Nduati [2 ]
机构
[1] Mercer Univ, Stetson Hatcher Sch Business SHSB, 1501 Mercer Univ Dr, Macon, GA 31207 USA
[2] Univ N Carolina, Cameron Sch Business, 601 S Coll Rd, Wilmington, NC 28403 USA
关键词
Return; Volume; Volatility; Causality; Quantile; ASMs; RATIONAL-EXPECTATIONS EQUILIBRIUM; SECURITY PRICE CHANGES; STRUCTURAL-CHANGE; TIME-SERIES; TRANSACTION VOLUMES; EMERGING MARKETS; REGRESSION; INFORMATION; MODEL; CAUSALITY;
D O I
10.1016/j.irfa.2022.102176
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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 mi-sspecification can distort and even reverse empirical evidence relative to nonlinear models.
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页数:17
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