Musmeci, Nicoló; Aste, Tomaso; Di Matteo, T. - London School of Economics (LSE) - 2015
We quantify the amount of information filtered by different hierarchical clustering methods on correlations between stock returns comparing the clustering structure with the underlying industrial activity classification. We apply, for the first time to financial data, a novel hierarchical...