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 language | English |
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Pages (from-to) | 62-72 |
Number of pages | 11 |
Journal | Journal of Multivariate Analysis |
Volume | 128 |
DOIs | |
Publication status | Published - Jul 2014 |
Keywords
- Asymptotic tail dependence coefficient
- Bivariate skew-t distribution
- Convergence rate
- Primary
- Quantile function
- Secondary