This study presents a thorough investigation of the relationship between the coronavirus disease 2019 (COVID-19) and daily stock price changes. We use several types of COVID-19 patients as indicators for exploring whether stock prices are significantly affected by COVID-19's impact. In addition,...

We develop a structural multivariate spatial regression model allowing us to incorporate both inter- and intralocation effects among different variables. The existing multivariate spatial regression approaches are not able to simultaneously account for these effects. The currently available...

We employ spatial econometrics techniques to investigate to what extent countries' economic and geographical relations affect their stock market co-movements. Among the relations that we analyze, bilateral trade proves to be best suited to capture co-variations in returns. We find a strong...

This paper proposes a probit approach to measure and forecast extreme downside risks in Asian Pacific markets given information on extreme negative shocks in the U.S. and Japanese markets. The extreme downside risk of a market is measured as the occurrence of market returns falling below...