We investigate the existence of style drift within the hedge fund industry and examine the relationship between style drift and both the 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...