We investigate the information source of active U.S. equity mutual funds’ value added using 234 public asset pricing anomalies. On average, mutual funds add value through their positive exposures to anomalies based on market information (e.g., momentum and liquidity risk) and lose value...

This paper investigates investor disagreement and clientele effects in performance evaluation by developing a measure that considers the best potential clienteles of mutual funds. In an incomplete market under law-of-one-price and no-good-deal conditions, we obtain an upper bound on admissible...

This paper develops a diagnostic tool for candidate performance measures that accounts for investor disagreement in mutual funds. We compare the evaluation for best clienteles, specified by an upper admissible performance bound, to the one for representative investors implicit in twelve models....

We study the equilibrium implications of a multi-asset economy in which asset managers are subject to different benchmarks, and demonstrate how heterogeneous benchmarking generates a mechanism through which fundamental shocks propagate across assets. Fluctuations in asset managers' capital...

This chapter provides a perspective on the rapidly developing literature on investment performance evaluation. I use the stochastic discount factor approach to present and critique current performance measurement techniques in a unified setting. I offer a number of suggestions to improve...

Our paper explores the link between cross-sectional fund return dispersion and performance evaluation. The foundation of our model is the simple intuition that in periods of high return dispersion, which is associated with high levels of idiosyncratic risk for zero-alpha funds, it is easier for...

Funds that invest in illiquid assets report returns with spurious autocorrelation. Consequently, investors need to unsmooth returns when evaluating the risk exposures of these funds. We show that funds investing in similar assets have a common source of spurious autocorrelation, which is not...

We give an explicit algorithm and source code for combining alpha streams via bounded regression. In practical applications, typically, there is insufficient history to compute a sample covariance matrix (SCM) for a large number of alphas. To compute alpha allocation weights, one then resorts to...