Year: 2010
Type: preprint
Abstract: In this thesis, the tail properties of multivariate Archimedean copulas are investigated using known representation theorems involving L1-norm symmetric distributions and the Williamson d-transform. Several new results on the asymptotic properties of the Williamson d-transform are established and subsequently used to study the tails of Archimedean copulas. This makes it possible to recover many known results regarding their tail behavior in a straightforward and transparent way. In particular, coefficients of tail dependence, extreme value limits and threshold copulas are considered. A central theme is the emphasis on the probabilistic aspects of stochastic representations, rather than the analytic aspects of representations involving Archimedean generators.
Source: arXiv (Cornell University)
Author: Larsson, Martin
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2103282132