We argue that the number of firms going public changes over time in response to time variation in market conditions. We develop a model of optimal initial public offering (IPO) timing in which IPO waves are caused by declines in expected market return, increases in expected aggregate profitability, or increases in prior uncertainty about the average future profitability of IPOs. We test and find support for the model's empirical predictions. For example, we find that IPO waves tend to be preceded by high market returns and followed by low market returns.

We develop a performance evaluation approach in which a fund manager's skill is judged by the extent to which the manager's investment decisions resemble the decisions of managers with distinguished performance records. The proposed performance measures use historical returns and holdings of many funds to evaluate the performance of a single fund. Simulations demonstrate that our measures are particularly useful in ranking managers. In an application that relies on such ranking, our measures reveal strong predictability in the returns of U.S. equity funds. Our measures provide information about future fund returns that is not contained in the standard measures.