Asymmetry in Tail Dependence of Equity Portfolios

Computational Statistics and Data Analysis, Forthcoming

27 Pages Posted: 24 Jun 2014 Last revised: 9 Feb 2016

See all articles by Eric Jondeau

Eric Jondeau

University of Lausanne - Faculty of Business and Economics (HEC Lausanne); Swiss Finance Institute; Swiss Finance Institute

Date Written: March 1, 2015

Abstract

The asymmetry in the tail dependence between U.S. equity portfolios and the aggregate U.S. market is a well-established property. Given the limited number of observations in the tails of a joint distribution, standard non-parametric measures of tail dependence have poor finite-sample properties and generally reject the asymmetry in the tail dependence. A parametric model, based on a multivariate noncentral t distribution, is developed to measure and test asymmetry in tail dependence. This model allows different levels of tail dependence to be estimated depending on the distribution's parameters and accommodates situations in which the volatilities or the correlations across returns are time varying. For most of the size, book-to-market, and momentum portfolios, the tail dependence with the market portfolio is significantly higher on the downside than on the upside.

Keywords: Multivariate noncentral t distribution; Tail dependence; Stock return asymmetry.

JEL Classification: C12, C32, G12.

Suggested Citation

Jondeau, Eric, Asymmetry in Tail Dependence of Equity Portfolios (March 1, 2015). Computational Statistics and Data Analysis, Forthcoming, Available at SSRN: https://ssrn.com/abstract=2458035 or http://dx.doi.org/10.2139/ssrn.2458035

Eric Jondeau (Contact Author)

University of Lausanne - Faculty of Business and Economics (HEC Lausanne) ( email )

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Switzerland
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HOME PAGE: http://people.unil.ch/ericjondeau/

Swiss Finance Institute ( email )

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+41 21 692 33 49 (Phone)

Swiss Finance Institute

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Switzerland

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