Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

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Scoring models for roboadvisory platforms: a network approach
Paolo Giudici, Gloria Polinesi

Last modified: 2018-05-12


Due to technological advancement, roboadvisory platforms have allowed significant cost reduction in asset management. However, this improved allocation may come at the price of a biased risk estimation. To verify this, we empirically investigate allocation models employed by roboadvisory platforms. Our findings show that the platforms do not accurately assess risks and, therefore, the corresponding allocation models should be improved, incorporating further information, through clustering and network analysis.


Tola, V., Lillo, F., Gallegati, M., Mantegna, R. N. (2008). Cluster analysis for portfolio optimization. Journal of Economic Dynamics and Control, 32(1), 235-258.

Tumminello, M., Aste, T., Di Matteo, T., Mantegna, R. N. (2005). A tool for filtering information in complex systems. Proceedings of the National Academy of Sciences of the United States of America,102(30), 10421-10426.

Tumminello, M., Lillo, F., Mantegna, R. N. (2010). Correlation,hierarchies, and networks in financial markets. Journal of Economic Behavior and Organization, 75(1), 40-58.

Mantegna, R. N. (1999). Hierarchical structure in financial markets.The European Physical Journal B-Condensed Matter and ComplexSystems, 11(1), 193-197.

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