The Impact of Covid-19 on the US Stock Market: Evidence from Time Series Model

In this study, we conduct a time series analysis of the US stock market’s response to COVID-19 pandemic. Using both and global daily newly confirmed cases market returns data represented by Nasdaq, S&P 500, Dow Jones over period 31 December 2019 30 2021, examine time-series impact on market. We employ our input into vector autoregression model (VAR) ARMA-GARCH characterize dynamic relationship between domestic infections performance The findings show that has an initial negative shock with large volatility clustering within 60 days after pandemic outbreak. After around 200 300 days, number new per day does not have statistically significant