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Hedge Fund Return Predictability Under the Magnifying Glass


Doron Avramov


Hebrew University of Jerusalem

Laurent Barras


McGill University - Desautels Faculty of Management

Robert Kosowski


Imperial College Business School; University of Oxford, Oxford-Man Institute of Quantitative Finance

February 8, 2012


Abstract:     
This paper develops a unified approach to comprehensively analyze individual hedge fund return predictability, both in- and out-of-sample. In-sample, we find that variation in hedge fund performance across changing market conditions is widespread and economically significant. The predictability pattern is consistent with economic rationale, and largely reflects differences in key hedge fund characteristics, such as leverage or capacity constraints. Out-of-sample, we show that a simple strategy that combines the funds' return forecasts obtained from individual predictors delivers superior performance. We exploit this simplicity to highlight the drivers of this performance, and find that in- and out-of-sample predictability are closely related.

Number of Pages in PDF File: 41

Keywords: Hedge Fund Performance, Return Predictability, Combination Forecasts

JEL Classification: G11, G23, C12

working papers series


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Date posted: August 1, 2010 ; Last revised: February 13, 2012

Suggested Citation

Avramov, Doron, Barras, Laurent and Kosowski, Robert, Hedge Fund Return Predictability Under the Magnifying Glass (February 8, 2012). Available at SSRN: http://ssrn.com/abstract=1650293 or http://dx.doi.org/10.2139/ssrn.1650293

Contact Information

Doron Avramov
Hebrew University of Jerusalem ( email )
Mount Scopus
Jerusalem, 91905
Israel
HOME PAGE: http://pluto.huji.ac.il/~davramov/
Laurent Barras (Contact Author)
McGill University - Desautels Faculty of Management ( email )
1001 Sherbrooke St. West
Montreal, Quebec H3A1G5 H3A 2M1
Canada
+15143988862 (Phone)
Robert Kosowski
Imperial College Business School ( email )
South Kensington Campus
Exhibition Road
London SW7 2AZ, DC SW7 2AZ
United Kingdom
+442075943294 (Phone)
HOME PAGE: http://www3.imperial.ac.uk/people/r.kosowski
University of Oxford, Oxford-Man Institute of Quantitative Finance ( email )
Eagle House
Walton Well Road
Oxford, Oxfordshire OX2 6ED
United Kingdom
Feedback to SSRN (Beta)


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