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

Lin Xu, Thomas Henker, Julia Henker

Research output: Book/ReportBookResearchpeer-review


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


Dive into the research topics of 'Style drift analysis of hedge funds: With a K-means clustering algorithm'. Together they form a unique fingerprint.

Cite this