Musmeci, Nicolo; Aste, Tomaso; Matteo, Tiziana Di - arXiv.org - 2014
We quantify the amount of information filtered by different hierarchical clustering methods on correlations between stock returns comparing it with the underlying industrial activity structure. Specifically, we apply, for the first time to financial data, a novel hierarchical clustering...