In this paper, the authors show how to exploit the available data to build portfolios that better fit the risk profiles of investors. This is made possible, on the one hand, by constructing groups of homogeneous risk profiles based on user responses to the markets in financial instruments directive (MIFID) questionnaire, and, on the other hand, by constructing homogeneous clusters of financial assets based on their risk and return performance.
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