Consequences of COVID-19 on Banking Sector Index: Artificial Neural Network Model

The World Health Organization officially declared COVID-19 a global pandemic on 11 March 2020. In this study, we examine the effect of indicators and policy response Saudi banking index. variables that were applied are: new confirmed fatal cases in Arabia; lockdowns; first second decreases interest rates; regulations, oil prices. We implemented analysis by running stepwise regression then building an artificial neural network (ANN) model. According to findings, prices have had significant positive Nevertheless, lockdown announcements Arabia decrease rates negative To enhance performance linear model, ANN model was built. Findings showed ranking terms their importance is: price, number cases, announcements, rates, lastly, regulations.