Recent studies have documented that institutional investors trade contrary to the predictions of the book-to market anomaly. We examine whether a prominent sub-group of institutional investors, namely hedge funds, differ from other institutions in terms of their trading behavior with respect to the book-to-market effect. We find that hedge funds significantly alter their trading preferences with respect to growth and value stocks, after book-to-market values become public information. More importantly, we show that hedge funds are better able to identify overpriced growth stocks compared to other institutions. Our results contribute to the literature on institutional investors’ trading with respect to stock return anomalies.

This study examines whether mutual funds herd in industries and the extent to which such herding impacts industry valuations. Using two herding measures proposed by Lakonishok et al. (1992) and Sias (2004) we document that mutual funds herd in industries. We show that industry herding is not driven by fund flows and that it is not a manifestation of individual stock herding. We also find evidence indicating that herding in industries by mutual funds is related to the industry momentum phenomenon first documented by Moskowitz and Grinblatt (1999), but it does not drive industry valuations away from their fundamentals.