We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...

In our network analysis of 40 developed, emerging and frontier stock markets during 2006-2014, we describe and model volatility spillovers during global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by fitting a spatial model incorporating several...