Using a robust bootstrap procedure, we find that top hedge fund performance cannot be explained by luck, and that hedge fund performance persists at annual horizons. Moreover, we show that Bayesian measures, which help overcome the short-sample problem inherent in hedge fund returns, lead to superior performance predictability. Relative to sorting on OLS alphas, sorting on Bayesian alphas yields a 5.5 percent per year increase in the alpha of the spread between the top and bottom hedge fund deciles. Our results are robust, and relevant to investors, as they are neither confined to small funds, nor driven by incubation bias, backfill bias or serial correlation
Abstract: This research study aims to further investigate the ability of hedge funds to deliver alph...
This paper evaluates hedge fund performance through portfolio strategies that incorporate predictabi...
We use a comprehensive data set of funds-of-funds to investigate performance, risk, and capital form...
Using a robust bootstrap procedure, we find that top hedge fund performance cannot be explained by l...
Using a robust bootstrap procedure, we find that top hedge fund performance cannot be explained by l...
I study the performance of hedge funds portfolios and find persistence at three-year horizons. I sho...
Since the Markowitz mean-variance framework of 1952 and the subsequent discoveries of the CAPM and t...
We use a comprehensive dataset of fundsoffunds to investigate performance, risk and capital formatio...
We use a comprehensive data set of funds‐of‐funds to investigate performance, risk, and capital form...
This article predicts the relative performance of hedge fund investment styles one period ahead usin...
While hedge funds continue to increase their funds under management, the evidence of their ability t...
textabstractWe analyze the performance persistence in hedge funds taking into account look-ahead bia...
Recently there have been a number of differing findings in the empirical evidence on fund performanc...
We define the outperformance (resp. underperformance) of an investment fund as the percentage of fun...
Return smoothing and performance persistence are both sources of autocorrelation in hedge fund retur...
Abstract: This research study aims to further investigate the ability of hedge funds to deliver alph...
This paper evaluates hedge fund performance through portfolio strategies that incorporate predictabi...
We use a comprehensive data set of funds-of-funds to investigate performance, risk, and capital form...
Using a robust bootstrap procedure, we find that top hedge fund performance cannot be explained by l...
Using a robust bootstrap procedure, we find that top hedge fund performance cannot be explained by l...
I study the performance of hedge funds portfolios and find persistence at three-year horizons. I sho...
Since the Markowitz mean-variance framework of 1952 and the subsequent discoveries of the CAPM and t...
We use a comprehensive dataset of fundsoffunds to investigate performance, risk and capital formatio...
We use a comprehensive data set of funds‐of‐funds to investigate performance, risk, and capital form...
This article predicts the relative performance of hedge fund investment styles one period ahead usin...
While hedge funds continue to increase their funds under management, the evidence of their ability t...
textabstractWe analyze the performance persistence in hedge funds taking into account look-ahead bia...
Recently there have been a number of differing findings in the empirical evidence on fund performanc...
We define the outperformance (resp. underperformance) of an investment fund as the percentage of fun...
Return smoothing and performance persistence are both sources of autocorrelation in hedge fund retur...
Abstract: This research study aims to further investigate the ability of hedge funds to deliver alph...
This paper evaluates hedge fund performance through portfolio strategies that incorporate predictabi...
We use a comprehensive data set of funds-of-funds to investigate performance, risk, and capital form...