JIMS8M: The Journal of Indian Management & Strategy
Web of Science
  • Year: 2020
  • Volume: 25
  • Issue: 4

Comparative analysis of bse sectoral indices during covid-19 and volatility forecasting using garch models

1Assistant Professor, Amity Global Business School, Amity University, Noida, India

2Assistant Professor, Amity Global Business School, Amity University, Noida, India

Online published on 6 March, 2021.

Abstract

The current study intends to study the impact of Covid19 on various sectors of Indian economy. The study is focused on the comparison of the financial performance of 17 BSE Sectoral Indices during the covid period. In addition to this, volatility forecast has been made for a period of 30 days.

To compare financial performance ANOVA, and CAPM models have been applied on daily data of adjusted closing prices of 17 BSE sectoral indices is collected from January - July 2020. ARCH and GARCH models have been used to predict volality.

Results suggests that Capital goods, BANKEX, Auto, Consumer durables, Finance, Industrials, Telecom, and Power have negative average return in the said duration. Energy, FMCG, Healthcare, Information technology, Metal, Oil and Gas, Realty and Utility have positive average return. Further the systematic risk is highest in case of Finance sector, while It is least in Realty, Oil and Gas, Healthcare, and Utility.

The Current research bridges the gap in existing literature by making a comparison of performance of BSE sectoral indices and volatility modelling during the given duration.

Keywords

Covid-19, Pandemic, Economic Downturn, Coronavirus, Impact, Outbreak, Recession, Sectoral, GARCH, Indices, BSE