Detecting Performance Persistence of Hedge Funds : A Runs-Based Analysis

In this paper, we use nonparametric runs-based tests to analyze the randomness of returns and the persistence of relative returns of hedge funds. Runs tests are implemented on a universe of hedge extracted from HFR database over the period spanning January 2000 to December 2012. Our findings suggest that i) For about 80% of the funds, we fail to reject the null of randomness of returns, ii) A similar ...gure is found out when focusing on relative returns, iii) Hedge funds that do present clustering in their relative returns are mainly found within Event Driven and Relative Value strategies, iv) For relative returns, results vary with the benchmark nature (hedge or traditional). The paper also emphasizes that runs tests may be a useful tool for investors in their fund' s selection process.

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Field Value
Source https://paris1.hal.science/hal-00984777
Author Hentati-Kaffel, Rania, de Peretti, Philippe
Maintainer CCSD
Last Updated May 5, 2026, 12:47 (UTC)
Created May 5, 2026, 12:47 (UTC)
Identifier hal-00984777
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Centre d'économie de la Sorbonne (CES) ; Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)
creator Hentati-Kaffel, Rania
date 2014-02-01T00:00:00
harvest_object_id ce19ddc3-2602-4e3b-a97d-e7d3b946a1c2
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2023-04-06T00:00:00
set_spec type:UNDEFINED