Mutual funds represent one of the fastest growing type of financial intermediary in the American economy. The question remains as to why mutual funds and in particular actively managed mutual funds have grown so fast, when their performance on average has been inferior to that of index funds. One possible explanation of why investors buy actively managed open end funds lies in the fact that they are bought and sold at net asset value, and thus management ability may not be priced. If management ability exists and it is not included in the price of open end funds, then performance should be predictable. If performance is predictable and at least some investors are aware of this, then cash flows into and out of funds should be predictable by the very same metrics that predict performance. Finally, if predictors exist and at least some investors act on these predictors in investing in mutual funds, the return on new cash flows should be better than the average return for all investors in these funds. This article presents empirical evidence on all of these issues and shows that investors in actively managed mutual funds may have been more rational than we have assumed.

Empirical studies of the modern theories of bond pricing typically choose proxies for the state variables in a rather arbitrary fashion. This paper empirically analyzes the question of the optimal spot rates to use as state variables. The authors' findings indicate that the four-year spot rate serves as the best proxy in the one-state-variable model. In the case of the two-state-variables model, the six-year rate and eight-month rate are identified as best. Tests of the out-of-sample prediction ability indicate that their model is superior to F. R. Macaulay's duration model and alternative proxies for state variables.

In this article, the authors develop relative pricing (APT) models that are successful in explaining expected returns in the bond market. They utilize indexes as well as unanticipated changes in economic variables as factors driving security returns. An innovation in this article is the measurement of the economic factors as changes in forecasts. The return indexes are the most important variables in explaining the time series of returns. However the addition of the economic variables leads to a large improvement in the explanation of the cross-section of expected returns. The authors utilize their relative pricing models to examine the performance of bond funds.