Abstract
We show how the extremal behavior of d-variate Archimedean copulas can be deduced from their stochastic representation as the survival dependence structure of an ℓ1-symmetric distribution (see McNeil and Nešlehová (2009)). We show that the extremal behavior of the radial part of the representation is determined by its Williamson d-transform. This leads in turn to simple proofs and extensions of recent results characterizing the domain of attraction of Archimedean copulas, their upper and lower tail-dependence indices, as well as their associated threshold copulas. We outline some of the practical implications of their results for the construction of Archimedean models with specific tail behavior and give counterexamples of Archimedean copulas whose coefficient of lower tail dependence does not exist.
Original language | English |
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Pages (from-to) | 195-216 |
Number of pages | 22 |
Journal | Advances in Applied Probability |
Volume | 43 |
Issue number | 1 |
DOIs | |
Publication status | Published - Mar 2011 |
Externally published | Yes |
Keywords
- -norm symmetric distribution
- Archimedean copula
- Domain of attraction
- Extreme value copula
- Regular variation
- Simplex distribution
- Tail dependence
- Threshold copula
- Williamson transform