Mean-Variance Optimization Is a Good Choice, but for Other Reasons Than You Might Think

Risks, 2020, 8(1):29

23 Pages Posted: 17 Oct 2019 Last revised: 1 Feb 2021

Date Written: March 14, 2020

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. We describe strengths and weaknesses of semivariance and how to minimize it for asset allocation decisions. We 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, Mean-Variance Optimization Is a Good Choice, but for Other Reasons Than You Might Think (March 14, 2020). Risks, 2020, 8(1):29, Available at SSRN: https://ssrn.com/abstract=3465717 or http://dx.doi.org/10.2139/ssrn.3465717

Andrea Rigamonti (Contact Author)

University of Liechtenstein ( email )

Fuerst Franz Josef-Strasse
Vaduz, 9490
Liechtenstein

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