The impact of Covid-19 on stock market returns in India
by Nenavath Sreenu
International Journal of Trade and Global Markets (IJTGM), Vol. 19, No. 1, 2024

Abstract: We examine the impact of Covid-19 on the stock market returns in India. This paper uses the autoregressive integrated moving average (ARIMA), autoregressive conditional heteroscedasticity (ARCH), and general linear model (GLM). The data was used to analyse pre-Covid and Covid markets' daily closing prices of stock market indices. After the outbreak of Covid-19, the stock market became nervous as BSE Sensex and NSE Nifty fell by 38%. It led to a 27.31% loss in the total stock market from the beginning of the year. We find that the daily growth rate in Covid-19 cases and Covid-19 deaths are negatively associated with stock returns. Using information criteria and forecasting accuracy measures, we show that the Covid-19 confirmed cases contribute statistically significant information to the modelling of volatility and increase the forecasting ability of the volatility of the Indian stock market index, leading to a decrease in the mean stock index.

Online publication date: Tue, 27-Feb-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Trade and Global Markets (IJTGM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com