Style drift analysis of hedge funds: With a K-means clustering algorithm

Research output: Book/ReportBookResearchpeer-review

Abstract

It is well established in the literature that mutual fund managers are susceptible to style drift. However, less is understood regarding the existence of the style behaviours in a closely linked alternative investment vehicle class - hedge funds. We investigate the existence of style drift within the hedge fund industry and examine the relationship between style drift and both stages of the funds' lives and the past returns. 

There are two key contributions made in this study. Firstly, we consider fund risk return profiles directly, rather than classifying funds by their self-described strategies. Secondly, we implement a K-Means clustering algorithm with correlation distance to classify strategy groups, unlike other studies which clustered on qualitative fund attributes.

We report a number of interesting empirical findings. Style drift is present in the hedge fund industry, and certain groups are more prone to "drift" than others. Funds at the end of their lives display a significantly higher level of erratic behaviour compared to their behaviours at birth. Finally, poor past performance relative to peers induce funds to change their style more frequently.
Original languageEnglish
Place of PublicationSaarbrucken, Germany
PublisherScholars' Press
Number of pages87
ISBN (Print)9783639700022
Publication statusPublished - 2013

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K-means clustering
Hedge funds
Clustering algorithm
Industry
Mutual funds
Fund managers
Alternative investments
Relative performance
Peers
Risk-return
End of life

Cite this

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Style drift analysis of hedge funds: With a K-means clustering algorithm. / Xu, Lin; Henker, Thomas; Henker, Julia.

Saarbrucken, Germany : Scholars' Press, 2013. 87 p.

Research output: Book/ReportBookResearchpeer-review

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AU - Henker, Julia

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