Stock Markets and Exchange Rates throughout the COVID-۱۹ Pandemic: Other Evidences for Italy and China Case

This paper examines the impact of change in COVID-۱۹ cases/deaths on stock market and exchange rate using daily data covering the period between ۳۱ December ۲۰۱۹ and ۱۲ March ۲۰۲۰, of Italy and China. Founded on the Markov Regime Switching model, we identified two stress regimes: normal stress regime and high stress regime. Threshold VAR Model is used to differentiate the exchange rate and stock market prices dynamics between normal stress regime and high stress regime. We found that of COVID-۱۹ pandemic have no/weakly impact on Chinese and Italian national currencies but can negatively influence stock market prices. The contribution of this framework is the setting of an estimated threshold value of number of death/cases COVID-۱۹ above it we consider a high stress period. These findings are very important for policymakers in order to predict sanitary pandemic effects such as COVID-۱۹ on the global markets and help in policies perception of fighting against any sanitary pandemic.

کلیدواژه ها:

Markov Switching ، Sanitary Disease ، Stock Market Prices ، Stress Period ، TVAR Model