Downside Risk Optimization vs Mean-Variance Optimization

23 Pages Posted: 17 Oct 2019 Last revised: 3 Jan 2020

Date Written: December 29, 2019

Abstract

Mean-variance portfolio optimization is more popular than optimization procedures that employ downside risk measures like the semivariance, despite the latter being more in line with the preferences of a rational investor. I describe strengths and weaknesses of semivariance and how to minimize it for asset allocation decisions. I then apply this approach to a variety of simulated and real data and show that the traditional approach based on the variance generally outperforms it. The results hold even if the CVaR is used, because all downside risk measures are difficult to estimate. The popularity of variance as a measure of risk appears therefore to be rationally justified.

Keywords: downside risk, semivariance, skewness, parameter uncertainty, portfolio optimization

JEL Classification: G11

Suggested Citation

Rigamonti, Andrea, Downside Risk Optimization vs Mean-Variance Optimization (December 29, 2019). Available at SSRN: https://ssrn.com/abstract=3465717 or http://dx.doi.org/10.2139/ssrn.3465717

Andrea Rigamonti (Contact Author)

Free University of Bozen-Bolzano ( email )

Universitätsplatz 1
Bozen-Bolzano, BZ 39100
Italy

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