Pitfalls of Downside Performance Measures with Arbitrary Targets

Published date01 December 2017
AuthorPeter Reichling,Benedikt Hoechner,Gordon Schulze
Date01 December 2017
DOIhttp://doi.org/10.1111/irfi.12137
Pitfalls of Downside Performance
Measures with Arbitrary Targets*
BENEDIKT HOECHNER,PETER REICHLING AND GORDON SCHULZE
Department of Banking and Finance, Otto-von-Guericke University Magdeburg,
Faculty of Economics and Management, Magdeburg, Germany
ABSTRACT
Downside performance measures relate above target returns with lower partial
moments. They were developed to resolve restrictive assumptions of the
classical Sharpe ratio. While the Sharpe ratio evaluates whether portfolios of
a mutual fund and the risk-free asset dominate passive portfolios of the
benchmark and the risk-free asset, this characteristic cannot be transferred to
downside performance measures with arbitrary targets. We show that
downside performance measures assign different values to passive benchmark
strategies if the target differs from the risk-free rate. This effect can lead to
reverse rankings of nancial assets. Therefore, downside performance
measures are only applicable in asset management if the target is set equal to
the risk-free rate.
JEL Codes: D81; G11
I. INTRODUCTION
The classical Sharpe (1966) ratio, i.e., expected rate of return of a nancial asset
above the risk-free rate divided by its volatility, has been criticized with regard
to the assumptions of meanvariance based investment decisions. Some authors
link the Sharpe ratio with quadratic utility that exhibits increasing risk aversion.
Actually, quadratic utility is only required for consistency of meanvariance
decisions with expected utility theory if arbitrary distribution functions are
allowed, in particular, if continuously as well as discretely distributed returns
are evaluated by the investor (Johnstone and Lindley 2011). However, in many
cases of performance measurement and other applications of the meanvariance
criterion in capital markets, we can assume that assetsreturns belong to the
same class of distribution functions. It is well known that no further assumption
about the utility function is needed for a normal distribution because it can be
* We gratefully acknowledge detailed and helpful comments from an anonymous referee.
© 2017 International Review of Finance Ltd. 2017
International Review of Finance, 2017
DOI: 10.1111/ir.12137
International Review of Finance, 17:4, 2017: pp. 597–610
DOI: 10.1111/irfi .12137
© 2017 International Review of Finance Ltd. 2017

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