On convergence and mass distributions of multivariate Archimedean copulas and their interplay with the Williamson transform
Thimo M. Kasper, Nicolas Dietrich, Wolfgang Trutschnig

TL;DR
This paper investigates the convergence, mass distributions, and regularity properties of multivariate Archimedean copulas, revealing new insights through Williamson measures and their implications for copula behavior and density properties.
Contribution
It establishes the equivalence of pointwise and weak convergence in multivariate Archimedean copulas using Williamson measures and provides new geometric and probabilistic interpretations.
Findings
Pointwise convergence implies weak convergence of conditional distributions.
Explicit formulas for level set masses and Kendall distribution function in terms of Williamson measures.
Density of absolutely continuous and singular copulas within the class.
Abstract
Motivated by a recently established result saying that within the class of bivariate Archimedean copulas standard pointwise convergence implies weak convergence of almost all conditional distributions this contribution studies the class of all -dimensional Archimedean copulas with and proves the afore-mentioned implication with respect to conditioning on the first coordinates. Several proper\-ties equivalent to pointwise convergence in are established and - as by-product of working with conditional distributions (Markov kernels) - alternative simple proofs for the well-known formulas for the level set masses and the Kendall distribution function as well as a novel geometrical interpretation of the latter are provided. Viewing normalized generators of -dimensional Archimedean copulas from the…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Risk and Volatility Modeling · Bayesian Methods and Mixture Models
