Impact of COVID-19 pandemic virus on G8 countries’ financial indices based on artificial neural network

Purpose The COVID-19 pandemic virus has affected the largest economies around world, especially Group 8 and 20. increasing numbers of confirmed deceased cases worldwide are causing instability in stock indices every day. These changes resulted G8 suffering major losses due to spread pandemic. This paper aims study impact events using country lockdown announcement on most important by seven variables. To find G8, a correlation analysis an artificial neural network model adopted. Design/methodology/approach In this study, Pearson is used strength variables international indices, where build prediction that can estimate movement markets independently. two performance metrics including R 2 mean square error (MSE). Findings results showed values all between 0.979 0.990, MSE 54 604. had strong negative movement, with lowest point March indices. Besides, US interest rate trading, followed Germany, France UK. Originality/value intelligent lockdown, decrease USA announce different countries.