This paper develops a simple technique that controls for “false discoveries,” 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 alphas. We find that 75% of funds exhibit zero alpha (net of expenses), consistent with the Berk and Green equilibrium. Further, we find a significant proportion of skilled (positive alpha) funds prior to 1996, but almost none by 2006. We also show that controlling for false discoveries substantially improves the ability to find the few funds with persistent performance
We generalize the model of Barras, Scaillet and Wermers (BSW, 2010), to find the proportions of posi...
Four‐factor Carhart alphas of passive indices should be zero, but recent empirical evidence shows ot...
Using a comprehensive data set on (surviving and non-surviving) UK equity mutual funds (April 1975 –...
Standard tests designed to identify mutual funds with non-zero alphas are prob-lematic, in that they...
Standard tests designed to identify mutual funds with non-zero alphas are problematic, in that they ...
Standard tests designed to identify mutual funds with non-zero alphas are prob-lematic, in that they...
Standard tests designed to identify mutual funds with non-zero alphas are prob-lematic, in that they...
The standard tests designed to detect funds with positive and negative alphas are subject to luck. L...
Standard tests designed to identify mutual funds with non-zero alphas are problematic, in that they ...
Barras, Scaillet, and Wermers propose the false discovery rate (FDR) to separate skill (alpha) from ...
Barras, Scaillet, and Wermers propose the false discovery rate (FDR) to separate skill (alpha) from ...
We use a multiple hypothesis testing framework to estimate the false discovery rate (FDR) amongst UK...
Using more general forms of equilibrium asset pricing models, we reexamine the recent literature on ...
Using more general forms of equilibrium asset pricing models, we re-examine the recentliterature on...
We use a multiple hypothesis testing framework to estimate the false discovery rate (FDR) amongst UK...
We generalize the model of Barras, Scaillet and Wermers (BSW, 2010), to find the proportions of posi...
Four‐factor Carhart alphas of passive indices should be zero, but recent empirical evidence shows ot...
Using a comprehensive data set on (surviving and non-surviving) UK equity mutual funds (April 1975 –...
Standard tests designed to identify mutual funds with non-zero alphas are prob-lematic, in that they...
Standard tests designed to identify mutual funds with non-zero alphas are problematic, in that they ...
Standard tests designed to identify mutual funds with non-zero alphas are prob-lematic, in that they...
Standard tests designed to identify mutual funds with non-zero alphas are prob-lematic, in that they...
The standard tests designed to detect funds with positive and negative alphas are subject to luck. L...
Standard tests designed to identify mutual funds with non-zero alphas are problematic, in that they ...
Barras, Scaillet, and Wermers propose the false discovery rate (FDR) to separate skill (alpha) from ...
Barras, Scaillet, and Wermers propose the false discovery rate (FDR) to separate skill (alpha) from ...
We use a multiple hypothesis testing framework to estimate the false discovery rate (FDR) amongst UK...
Using more general forms of equilibrium asset pricing models, we reexamine the recent literature on ...
Using more general forms of equilibrium asset pricing models, we re-examine the recentliterature on...
We use a multiple hypothesis testing framework to estimate the false discovery rate (FDR) amongst UK...
We generalize the model of Barras, Scaillet and Wermers (BSW, 2010), to find the proportions of posi...
Four‐factor Carhart alphas of passive indices should be zero, but recent empirical evidence shows ot...
Using a comprehensive data set on (surviving and non-surviving) UK equity mutual funds (April 1975 –...