On the structure of exchangeable extreme-value copulas
Jan-Frederik Mai, Matthias Scherer

TL;DR
This paper characterizes the structure of exchangeable extreme-value copulas, showing their stable tail dependence functions form a simplex, and provides conditions for their marginals and conditional independence.
Contribution
It establishes that symmetric stable tail dependence functions form a simplex and identifies extremal boundaries, advancing understanding of exchangeable extreme-value copulas.
Findings
Stable tail dependence functions form a simplex.
Proper subset of marginals for higher dimensions.
Necessary condition for bivariate copulas to be marginals.
Abstract
We show that the set of -variate symmetric stable tail dependence functions, uniquely associated with exchangeable -dimensional extreme-value copulas, is a simplex and determine its extremal boundary. The subset of elements which arises as -margins of the set of -variate symmetric stable tail dependence functions is shown to be proper for arbitrary . Finally, we derive an intuitive and useful necessary condition for a bivariate extreme-value copula to arise as bi-margin of an exchangeable extreme-value copula of arbitrarily large dimension, and thus to be conditionally iid.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
