We use economic policy uncertainty (EPU) shocks in combination with the mixed data sampling (MIDAS) approach to investigate long-run stock market variances and correlations, primarily for the US and the UK. The US long-run stock market variance depends significantly on US EPU shocks but not on...

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...

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...