Abstract:
Using a clustering procedure, we classify Italian funds ex-post on the basis of the composition of their portfolios and find that the optimal number of clusters is equal to 4. The four groups which result from the statistical classification closely match the 4-level aggregation of the 20 ex-ante categories used by the Italian mutual funds association.
More papers in Working Papers from Banca Italia - Servizio di Studi Address: Banca d'Italia-Servizio Studi-Divisione Biblioteca e Pubblicazioni - Via N azionale, 91 -00184 Rome, Italy. Contact information at EDIRC. Series data maintained by Thomas Krichel ().
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