Do hedge funds deliver alpha? A Bayesian and bootstrap analysis

By Robert Kosowski, Narayan Naik, Melvyn Teo. 2007

495 citations recorded by the source corpus.

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.

Subfields: Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/bce3e26c268c38f9e3a0333057527c63e0b13c94

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Melvyn Teo
  2. M. O. Caglayan
  3. Stephen J. Brown
  4. Turan G. Bali
  5. Robert Kosowski
  6. Doron Avramov
  7. Narayan Naik
  8. Marco Rocco

In Finance

  1. Melvyn Teo
  2. M. O. Caglayan
  3. Stephen J. Brown
  4. Turan G. Bali
  5. Robert Kosowski
  6. Narayan Naik
  7. Doron Avramov
  8. Vikas Agarwal

Citations in the corpus