Conditional Tail Independence in Archimedean Copula Models
Probability
2019-10-02 v1
Abstract
Consider a random vector , whose distribution function coincides in its upper tail with that of an Archimedean copula. We report the fact that the conditional distribution of , conditional on one of its components, has under a mild condition on the generator function independent upper tails, no matter what the unconditional tail behavior is. This finding is extended to Archimax copulas.
Cite
@article{arxiv.1902.03947,
title = {Conditional Tail Independence in Archimedean Copula Models},
author = {Michael Falk and Simone Padoan and Florian Wisheckel},
journal= {arXiv preprint arXiv:1902.03947},
year = {2019}
}
Comments
17 pages