New Extreme-Value Dependence Measures and Finance Applications

Michael Rockinger (), Ser-Huang Poon and Jonathan Tawn

No 2762, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: In the finance literature, cross-sectional dependence in extreme returns of risky assets is often modelled implicitly assuming an asymptotically dependent structure. If the true dependence structure is asymptotically independent then existing finance models will lead to over-estimation of the risk of simultaneous extreme events. We provide simple techniques for deciding between these dependence classes and for quantifying the degree of dependence in each class. Examples based on daily stock market returns show that there is strong evidence in favour of asymptotically independent models for dependence in extremal stock market returns, and that most of the extremal dependence is due to heteroskedasticity in stock returns processes.

Keywords: Asymptotic independence; Extreme value theory; Hill's estimator; Tail index (search for similar items in EconPapers)
JEL-codes: C13 C22 G11 G15 (search for similar items in EconPapers)
Date: 2001-04
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Citations: View citations in EconPapers (5)

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Related works:
Working Paper: New Extreme-Value Dependance Measures and Finance Applications (2001)
Working Paper: New Extreme-Value Dependance Measures and Finance Applications (2001)
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