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Resisting the Manipulation of Performance Metrics: An Empirical Analysis of The Manipulation-Proof Performance Measure

Authors: Stephen J. Brown; MaengSoo Kang; Francis Haeuck In; Gunhee Lee;

Resisting the Manipulation of Performance Metrics: An Empirical Analysis of The Manipulation-Proof Performance Measure

Abstract

Performance manipulation can make a fund more attractive to investors and, more seriously, managers can intentionally misreport returns to enhance performance scores. This paper empirically investigates whether the manipulation-proof performance measure derived by Goetzmann et al. (2007) really is impervious to performance anipulation, using TASS hedge fund data, which have very skewed and fat-tailed return distributions. This article determines that the MPPM can evaluate performance more correctly than other measures. At application level, we propose the Doubt Ratio (DR), a new simple measure to detect funds that might have been manipulated or whose returns were intentionally smoothed, as in Madoff’s case. Our findings will help investors select funds and financial supervisors filter out funds for further investigation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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