The Multiplex Dependency Structure of Financial Markets
We propose here a multiplex network approach to Television investigate simultaneously different types of dependency in complex datasets.In particular, we 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 graph