Convergence rate to a lower tail dependence coefficient of a skew-t distribution

Thomas Fung, Eugene Seneta*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    We examine the rate of decay to the limit of the tail dependence coefficient of a bivariate skew- t distribution. This distribution always displays asymptotic tail dependence. It contains as a special case the usual bivariate symmetric t distribution, and hence is an appropriate (skew) extension. The rate is asymptotically a power-law. The second-order structure of the univariate quantile function for such a skew- t distribution is a central issue. Our results generalise those for the bivariate symmetric t.

    Original languageEnglish
    Pages (from-to)62-72
    Number of pages11
    JournalJournal of Multivariate Analysis
    Volume128
    DOIs
    Publication statusPublished - Jul 2014

    Keywords

    • Asymptotic tail dependence coefficient
    • Bivariate skew-t distribution
    • Convergence rate
    • Primary
    • Quantile function
    • Secondary

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