Using a novel measure of stock-level trade imitation, we uncover "smart" copycats: fund managers that use their own information when beneficial, and otherwise imitate other managers' better trades. Contrary to previous research, we find that these partial imitation strategies lead to...

The biggest challenge in testing mutual funds for manager skill is the lack of a probability distribution of returns under the null hypothesis of no skill. A methodology based on randomly trading portfolios and non parametric statistical tests is explored, and a test of skill is proposed....

We introduce a novel methodology to identify copycat behavior in mutual funds. We find that imitation is pervasive in the mutual fund industry. While most copycats underperform, a small number are 'smart imitators'. We find that funds at the high and low ends of the Copycat Score range...