COVID-۱۹ and Stock Return: Empirical Evidence from Developing Economy

This paper has tried to assess the impact of COVID-۱۹ on stock return in different sectors listed under  Dhaka Stock Exchange in Bangladesh during the period from ۰۸ March ۲۰۲۰ to ۱۵ September ۲۰۲۰. To measure the impact of COVID-۱۹ on stock return, daily change in number of confirmed cases and deaths have been used as independent variables and DSE stock return has been taken as variable of interest. Data were collected from Bangladesh Government’s official portal, DSE archive and annual reports of listed firms. Sample is selected using two stage sampling method which is a probabilistic model. To test the validity of the used model, Pearson’s correlations analysis, Breusch and Pagan’s heteroscedasticity test, White’s homoscedasticity test and Hausman’s fixed random tests are conducted. After testing the validity, fixed effect method of panel data regression model has been used to test the two hypotheses. The result reveals that most of the sectors responded negatively to the growth in COVID-۱۹ confirmed cases. It is also observed that selected sectors reacted more proactively to the growth in number of deaths as compared to the growth in number of confirmed cases. Where banking and textile sectors are the most sufferers to the growth of both confirmed cases and deaths, pharmaceuticals & chemicals industry proved out to be the gainers. The findings will have policy implications for the regulators as well as for the investors to design the optimum portfolio of investment. The study will add new dimensions to the existing literature.

Keywords:

COVID-۱۹ , Stock market , Stock Return , Developing Economy