L\'evy copulas: a probabilistic point of view
Ayi Ajavon

TL;DR
This paper establishes a probabilistic framework linking Lévy copulas with proper copulas, enabling new parametric constructions and insights into their structure through max-id distributions and Williamson transforms.
Contribution
It introduces a one-to-one correspondence between Lévy copulas and proper copulas, providing a new probabilistic perspective and methods for defining parametric Lévy copulas as mirror images of proper copulas.
Findings
Lévy copulas correspond uniquely to proper copulas via max-id distributions.
Parametric Lévy copulas can be constructed as mirror images of proper parametric copulas.
Archimedean Lévy copulas are generated by Williamson transforms of transformed radial distribution functions.
Abstract
There is a one-to-one correspondence between L\'{e}vy copulas and proper copulas. The correspondence relies on a relationship between L\'{e}vy copulas sitting on and max-id distributions. The max-id distributions are defined with respect to a partial order that is compatible with the inclusion of sets bounded away from the origin. An important consequence of the result is the possibility to define parametric L\'{e}vy copulas as mirror images of proper parametric copulas. For example, proper Archimedean copulas are generated by functions that are Williamson transforms of the cdf of the radial component of random vectors with exchangeable distributions . In contrast, the generators of Archimedean L\'{e}vy copulas are Williamson transforms of .
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Stochastic processes and financial applications · Hydrology and Drought Analysis
