The main focus of this paper is to explore the potential econometric im-provements that can be achieved in estimating hedge fund returns. Specifically, we examine the effects of incorporating the following three adjustments to estimating managerial efficiency; (1) a selection bias adjustment...

In a standard four factor framework, mutual fund return volatility is a reliable, persistent, and powerful predictor of future abnormal returns. However, the abnormal returns are eliminated by the addition of a “vol” anomaly factor contrasting returns on portfolios of low and high volatility...

Return-chasing investors almost exclusively consider top-performing funds for their investment decisions. When drawing conclusions about the managerial skill of these top performers, they tend to neglect fund volatility and the cross-sectional information contained in the number of funds and the...

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...

We give a simple explicit formula for turnover reduction when a large number of alphas are traded on the same execution platform and trades are crossed internally. We model turnover reduction via alpha correlations. Then, for a large number of alphas, turnover reduction is related to the largest...

This paper explores the gamma trading, timing and managerial skills of individual hedge funds across categories. We replicate the non-linear payoffs of hedge funds with traded options, with the option features being endogenously defined in our replication model. On top of providing a flexible...