The Multiplex Dependency Structure of Financial Markets
We propose here a multiplex network approach to investigate simultaneously different types of dependency in complex datasets.In particular, we orly impressions consider multiplex networks made of four layers corresponding, respectively, to linear, nonlinear, tail, and partial correlations among a set of financial time series.We construct the sparse