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Conditioning-based metrics on the space of multivariate copulas and their interrelation with uniform and levelwise convergence and Iterated Function Systems

Author

Listed:
  • Juan Fernández Sánchez

    (Universidad de Almería)

  • Wolfgang Trutschnig

    (University Salzburg)

Abstract

Using the one-to-one correspondence between copulas and special Markov kernels three strong metrics on the class $$\mathcal {C}_\rho $$ C ρ of $$\rho $$ ρ -dimensional copulas with $$\rho \ge 3$$ ρ ≥ 3 are studied. Being natural extensions of the two-dimensional versions introduced by Trutschnig (J Math Anal Appl 384:690–705, 2011), these metrics exhibit various good properties. In particular, it can be shown that the resulting metric spaces are separable and complete, which, as by-product, offers a simple separable and complete metrization of the so-called $$\partial $$ ∂ -convergence studied by Mikusinski and Taylor (Ann Polon Math 96:75–95, 2009, Metrika 72:385–414, 2010). As an additional consequence of completeness, it is proved that the construction of singular copulas with fractal support via special Iterated Function Systems also converges with respect to any of the three introduced metrics. Moreover, the interrelation with the uniform metric $$d_\infty $$ d ∞ is studied and convergence with respect to $$d_\infty $$ d ∞ is characterized in terms of level-set and endograph convergence with respect to the Hausdorff metric.

Suggested Citation

  • Juan Fernández Sánchez & Wolfgang Trutschnig, 2015. "Conditioning-based metrics on the space of multivariate copulas and their interrelation with uniform and levelwise convergence and Iterated Function Systems," Journal of Theoretical Probability, Springer, vol. 28(4), pages 1311-1336, December.
  • Handle: RePEc:spr:jotpro:v:28:y:2015:i:4:d:10.1007_s10959-014-0541-4
    DOI: 10.1007/s10959-014-0541-4
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    References listed on IDEAS

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    Cited by:

    1. Henryk Zähle, 2022. "A concept of copula robustness and its applications in quantitative risk management," Finance and Stochastics, Springer, vol. 26(4), pages 825-875, October.
    2. Griessenberger Florian & Trutschnig Wolfgang, 2022. "Maximal asymmetry of bivariate copulas and consequences to measures of dependence," Dependence Modeling, De Gruyter, vol. 10(1), pages 245-269, January.
    3. Sánchez Juan Fernández & Trutschnig Wolfgang, 2023. "A link between Kendall’s τ, the length measure and the surface of bivariate copulas, and a consequence to copulas with self-similar support," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-14, January.

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