Andrikogiannopoulou and Papakonstantinou (AP; 2019) conduct an inquiry into the bias of the False Discovery Rate (FDR) estimators of Barras, Scaillet, and Wermers (BSW; 2010). In this Reply, we replicate their results, then further explore the bias issue by (i) using different parameter values,...

We show that two prominent bootstrap tests for fund skill have distorted test sizes because many funds have short return records and skewed return residuals, and they lack test power to detect skilled funds when a substantial number of unskilled funds are present. We develop the theory for a...

We compare two bootstrap methods for assessing mutual fund performance. Kosowski, Timmermann, Wermers and White (2006) produces narrow confidence intervals due to pooling over time, while Fama and French (2010) produces wider confidence intervals because it preserves the cross-correlation of...

Both Kosowski et al. (2006) and Fama and French (2010) evaluate whether mutual funds outperform, but their conclusions are very different. We reconcile their findings. We show that the Fama and French method suffers from an undersampling problem that leads to a failure to reject the null...

Two new methodologies are introduced to improve inference in the evaluation of mutual fund performance against benchmarks. First, the benchmark models are estimated using panel methods with both fund and time effects. Second, the non-normality of individual mutual fund returns is accounted for...

We compare two bootstrap methods for assessing mutual fund performance. Kosowski, Timmermann, Wermers and White (2006) produces narrow confidence intervals due to pooling over time, while Fama and French (2010) produces wider confidence intervals because it preserves the cross-correlation of...

We propose a novel methodology that jointly estimates the proportions of skilled/unskilled funds and the cross-sectional distribution of skill in the mutual fund industry. We model this distribution as a three-component mixture of a point mass at zero and two components — one negative, one...

This article reports a study on the performance of mutual equity funds in Brazil from January 2002 to August 2012. For analyses, Carhart's four-factor model is used as the benchmark model for performance, and bootstrap procedures are applied to separate skill from luck. The results show that the...

This article reports a study on the performance of mutual equity funds in Brazil from January 2002 to August 2012. For the analyses, Carhart's four-factor model is used as the benchmark for performance, and bootstrap procedures are applied to separate skill from luck. The results show that...

This paper develops a simple technique that controls for ldquo;false discoveries,rdquo; or mutual funds that exhibit significant alphas by luck alone. Our approach precisely separates funds into (1) unskilled, (2) zero-alpha, and (3) skilled funds, even with dependencies in cross-fund estimated...