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Smart network based portfolios

Gian Paolo Clemente, Rosanna Grassi and Asmerilda Hitaj

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Abstract: In this article we deal with the problem of portfolio allocation by enhancing network theory tools. We use the dependence structure of the correlations network in constructing some well-known risk-based models in which the estimation of correlation matrix is a building block in the portfolio optimization. We formulate and solve all these portfolio allocation problems using both the standard approach and the network-based approach. Moreover, in constructing the network-based portfolios we propose the use of two different estimators for the covariance matrix: the sample estimator and the shrinkage toward constant correlation one. All the strategies under analysis are implemented on two high-dimensional portfolios having different characteristics, covering the period from January $2001$ to December $2017$. We find that the network-based portfolio consistently better performs and has lower risk compared to the corresponding standard portfolio in an out-of-sample perspective.

Date: 2019-07
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Citations: View citations in EconPapers (4)

Published in Annals of Operations Research 2022

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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1907.01274

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