Capturing Risks of Non-Transparent Hedge Funds

13 Pages Posted: 6 Feb 2010

See all articles by Stéphane Daul

Stéphane Daul

Pictet Asset Management; affiliation not provided to SSRN

Date Written: February 1, 2008

Abstract

We present a model that captures risks of hedge funds only using their historical performance as input. This statistical model is a multivariate distribution where the marginals derive from an AR(1)/AGARCH(1,1) process with t_5 innovations, and the dependency is a grouped-t copula. The process captures all relevant static and dynamic characteristics of hedge fund returns, while the copula enables us to go beyond linear correlation and capture strategy-specific tail dependency. We show how to estimate parameters and then successfully backtest our model and some peer models using 600 hedge funds.

Keywords: Hedge fund, AGARCH, copula, risk

JEL Classification: C32

Suggested Citation

Daul, Stéphane and Daul, Stéphane, Capturing Risks of Non-Transparent Hedge Funds (February 1, 2008). Available at SSRN: https://ssrn.com/abstract=1548427 or http://dx.doi.org/10.2139/ssrn.1548427

Stéphane Daul (Contact Author)

affiliation not provided to SSRN

Pictet Asset Management ( email )

Geneva
Switzerland

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