Stock Returns, Trading Volumes and Market Volatility: A Study on the Indian Stock Market

P. K. Naik, Tapas Kumar Sethy
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Abstract

This paper aims at investigating the effect of stock returns on trading volume and the trading volume on volatility. To accomplish the study objective, daily data from 1 April 2014 to 30 June 2020 are used. The GLS model is employed to investigate the contemporaneous relationship between the stock returns and trading volume. The EGARCH (1, 1) model is used to explore the volume–volatility relationships, and the causal relationship of stock returns–trading volumes–volatility is attained through the Granger causality test. The study finds that the effect of stock returns on trading volume is asymmetric. It indicates that the negative price changes have a less considerable impact on trading volume than the non-negative price changes. The study also supports the mixture of the distribution hypothesis that postulated the volume–volatility relationship to be positive. The volatility persistence level remains high, even after the conditional volatility model incorporates trading volumes as an exogenous variable. Further, the analysis also reveals that stock return causes trading volume and not vice versa; however, trading volumes cause return volatility. JEL Codes: G10, G12, C22
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股票收益、交易量与市场波动:对印度股票市场的研究
本文旨在研究股票收益对交易量的影响以及交易量对波动率的影响。为了实现研究目标,使用了2014年4月1日至2020年6月30日的日常数据。采用GLS模型研究股票收益与交易量的同期关系。采用EGARCH(1,1)模型探讨成交量与波动率之间的关系,通过Granger因果检验得到股票收益-成交量-波动率之间的因果关系。研究发现,股票收益对交易量的影响是不对称的。这表明负价格变化对交易量的影响小于非负价格变化。该研究还支持混合分布假设,即假设体积-波动率关系为正。即使在条件波动率模型将交易量作为外生变量后,波动率持续水平仍然很高。进一步分析还发现,股票收益导致交易量,而不是相反;然而,交易量会导致回报率波动。JEL代码:G10, G12, C22
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