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Tailing Tail Risk in the Hedge Fund Industry


Walter Distaso


Imperial College Business School

Marcelo Fernandes


Queen Mary University of London - Economics Department

Filip Zikes


Imperial College London

April 12, 2012


Abstract:     
This paper aims to assess dynamic tail risk exposure in the hedge fund sector using daily data. We use a copula function to model both lower and upper tail dependence between hedge-fund and broad-market returns as a function of market uncertainty. We proxy the latter by means of a single index that combines the options-implied market volatility, the volatility risk premium, and the swap and term spreads. We find substantial time-variation in both lower- and upper-tail dependence, even for hedge fund styles that exhibit little unconditional tail dependence. In particular, dependence between hedge fund and equity market returns decreases in both tails significantly with market uncertainty. There are only a few styles that feature neither unconditional nor conditional tail dependence, e.g., convertible arbitrage and equity market neutral. We also fail to observe any tail dependence with bond and currency markets, though we find strong evidence that the lower-tail risk exposure of macro hedge funds to commodity markets increases with liquidity risk. Finally, further analysis shows mixed evidence on how much hedge funds contribute to systemic risk.

Number of Pages in PDF File: 39

Keywords: alternative investment, copula, dynamic risk exposure, market uncertainty, tail dependence

JEL Classification: C58, G01, G11

working papers series


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Date posted: April 18, 2012  

Suggested Citation

Distaso, Walter, Fernandes, Marcelo and Zikes, Filip, Tailing Tail Risk in the Hedge Fund Industry (April 12, 2012). Available at SSRN: http://ssrn.com/abstract=2041525 or http://dx.doi.org/10.2139/ssrn.2041525

Contact Information

Walter Distaso (Contact Author)
Imperial College Business School ( email )
South Kensington Campus
Exhibition Road
London SW7 2AZ, DC SW7 2AZ
United Kingdom
Marcelo Fernandes
Queen Mary University of London - Economics Department ( email )
Mile End Road
London, E1 4NS
United Kingdom
+44 (0)20 7882 5082 (Phone)
+44 (0)20 8983 3580 (Fax)
Filip Zikes
Imperial College London ( email )
South Kensington Campus
London SW7 2AZ
United Kingdom
Feedback to SSRN (Beta)


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