Does commitment to environment and society pays? Evidence from COVID-19 impact on stock volatility

Nishi Sharma, Arshdeep Kaur, Shailika Rawat
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Abstract

Purpose This study aims to analyse whether investment in green and sustainable stocks provide some cushion during current precarious time. To compare the impact of COVID-19 on the volatility of sustainable and market-capitalisation-based stocks, daily returns from Greenex, Carbonex, Large-Cap, Mid-Cap and Small-Cap index have been analysed over a period of six years from 2015 to 2021. Design/methodology/approach At the outset, logarithmic return of all selected indices has been tested for possible unit root and heteroscedastic. On confirmation of stationarity and heteroscedasticity of data, auto-regressive conditional heteroscedastic models have been applied. Thereafter, volatility is modelled through best suitable model as suggested by Akaike and Schwarz information criterions. Findings The findings indicate the positive impact of COVID-19 on the volatility of the indices. Asymmetric power ARCH model indicates highest significant impact of COVID-19 over the volatility of Large-Cap index, whereas exponential GARCH model detected highest significant impact of COVID-19 over the volatility of Mid-Cap Index. Originality/value To the best of the authors’ knowledge, the present study is original in the sense that it aimed at comparing the possible impact of COVID-19 over sustainable and market-capitalisation-based indices.
对环境和社会的承诺有回报吗?COVID-19对股票波动影响的证据
本研究旨在分析在当前不稳定时期,绿色和可持续资源的投资是否提供了一些缓冲。为了比较COVID-19对可持续和基于市值的股票波动性的影响,我们分析了2015年至2021年六年间Greenex、Carbonex、大盘股、中盘股和小盘股指数的日回报。设计/方法/方法一开始,对所有选定指数的对数回归进行了可能的单位根和异方差检验。为了验证数据的平稳性和异方差性,应用了自回归条件异方差模型。然后,利用Akaike和Schwarz信息准则提出的最合适模型对波动率进行建模。研究结果表明,新冠肺炎疫情对指数波动率产生了积极影响。非对称功率ARCH模型显示COVID-19对大盘指数波动率的显著影响最大,而指数GARCH模型显示COVID-19对中盘指数波动率的显著影响最大。原创性/价值据作者所知,本研究的原创性在于,它旨在比较COVID-19对可持续和基于市场资本的指数的可能影响。
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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