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 study examines the dynamic relationship between the major stock indices of the US, Japan, France and the UK by using the non-linear Granger-causality test. The empirical evidence indicates that there is a strong bi-directional non-linear causal relationship between the US and the others....

We develop networks of international stock market indices using information and correlation based measures. We use 83 stock market indices of a diversity of countries, as well as their single day lagged values, to probe the correlation and the flow of information from one stock index to another...