A new method for estimating liquidity and stock returns in Indian stock market

Tapas Kumar Sethy, N. Tripathy
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Abstract

PurposeThis study aims to explore the impact of systematic liquidity risk on the averaged cross-sectional equity return of the Indian equity market. It also examines the effects of illiquidity and decomposed illiquidity on the conditional volatility of the equity market.Design/methodology/approachThe present study employs the Liquidity Adjusted Capital Asset Pricing Model (LCAPM) for pricing systematic liquidity risk using the Fama & MacBeth cross-sectional regression model in the Indian stock market from January 1, 2012, to March 31, 2021. Further, the study employed an exponential generalized autoregressive conditional heteroscedastic (1,1) model to observe the impact of decomposed illiquidity on the equity market’s conditional volatility. The study also uses the Ordinary Least Square (OLS) model to illuminate the return-volatility-liquidity relationship.FindingsThe study’s findings indicate that the commonality between individual security liquidity and aggregate liquidity is positive, and the covariance of individual security liquidity and the market return negatively affects the expected return. The study’s outcome specifies that illiquidity time series analysis exhibits the asymmetric effect of directional change in return on illiquidity. Further, the study indicates a significant impact of illiquidity and decomposed illiquidity on conditional volatility. This suggests an asymmetric effect of illiquidity shocks on conditional volatility in the Indian stock market.Originality/valueThis study is one of the few studies that used the World Uncertainty Index (WUI) to measure liquidity and market risks as specified in the LCAPM. Further, the findings of the reverse impact of illiquidity and decomposed higher and lower illiquidity on conditional volatility confirm the presence of price informativeness and its immediate effects on illiquidity in the Indian stock market. The study strengthens earlier studies and offers new insights into stock market liquidity to clarify the association between liquidity and stock return for effective policy and strategy formulation that can benefit investors.
估算印度股市流动性和股票回报的新方法
目的 本研究旨在探讨系统性流动性风险对印度股票市场横截面平均股票收益率的影响。本研究采用流动性调整资本资产定价模型 (LCAPM),利用法玛与麦克贝斯 (Fama & MacBeth) 的横截面回归模型,对 2012 年 1 月 1 日至 2021 年 3 月 31 日期间印度股票市场的系统性流动性风险进行定价。此外,研究还采用了指数广义自回归条件异方差(1,1)模型来观察分解流动性不足对股票市场条件波动性的影响。研究结果研究结果表明,单个证券流动性与总体流动性的共性为正,单个证券流动性与市场收益率的协方差对预期收益率有负面影响。研究结果表明,流动性不足时间序列分析显示了收益率方向性变化对流动性不足的非对称影响。此外,研究还表明,流动性不足和分解流动性不足对条件波动率有显著影响。这表明流动性不足的冲击对印度股票市场的条件波动性具有非对称效应。原创性/价值本研究是少数几个使用世界不确定性指数(WUI)来衡量 LCAPM 中规定的流动性和市场风险的研究之一。此外,流动性不足的反向影响以及高流动性和低流动性对条件波动性的分解结果证实了印度股市存在价格信息性及其对流动性不足的直接影响。该研究加强了之前的研究,并对股市流动性提出了新的见解,以澄清流动性与股票回报率之间的关联,从而制定出有利于投资者的有效政策和战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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