Maximal asymmetry of bivariate copulas and consequences to measures of dependence

In this article, we focus on copulas underlying maximal non-exchangeable pairs (X,Y)\left(X,Y) of continuous random variables X,YX,Y either in the sense of the uniform metric d∞{d}_{\infty } or the conditioning-based metrics Dp{D}_{p}, and analyze their possible extent of dependence quantified by th...

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Main Authors: Griessenberger Florian, Trutschnig Wolfgang
Format: Article
Language:English
Published: De Gruyter 2022-08-01
Series:Dependence Modeling
Subjects:
Online Access:https://doi.org/10.1515/demo-2022-0115
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author Griessenberger Florian
Trutschnig Wolfgang
author_facet Griessenberger Florian
Trutschnig Wolfgang
author_sort Griessenberger Florian
collection DOAJ
description In this article, we focus on copulas underlying maximal non-exchangeable pairs (X,Y)\left(X,Y) of continuous random variables X,YX,Y either in the sense of the uniform metric d∞{d}_{\infty } or the conditioning-based metrics Dp{D}_{p}, and analyze their possible extent of dependence quantified by the recently introduced dependence measures ζ1{\zeta }_{1} and ξ\xi . Considering maximal d∞{d}_{\infty }-asymmetry we obtain ζ1∈56,1{\zeta }_{1}\in \left[\frac{5}{6},1\right] and ξ∈23,1\xi \in \left[\frac{2}{3},1\right], and in the case of maximal D1{D}_{1}-asymmetry we obtain ζ1∈34,1{\zeta }_{1}\in \left[\frac{3}{4},1\right] and ξ∈12,1\xi \in \left(\frac{1}{2},1\right], implying that maximal asymmetry implies a very high degree of dependence in both cases. Furthermore, we study various topological properties of the family of copulas with maximal D1{D}_{1}-asymmetry and derive some surprising properties for maximal Dp{D}_{p}-asymmetric copulas.
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spelling doaj.art-47e7ac96982043d2ab009367aa19c41c2022-12-22T03:33:36ZengDe GruyterDependence Modeling2300-22982022-08-0110124526910.1515/demo-2022-0115Maximal asymmetry of bivariate copulas and consequences to measures of dependenceGriessenberger Florian0Trutschnig Wolfgang1Department for Artificial Intelligence and Human Interfaces, University of Salzburg, Hellbrunnerstrasse 34, 5020 Salzburg, AustriaDepartment for Artificial Intelligence and Human Interfaces, University of Salzburg, Hellbrunnerstrasse 34, 5020 Salzburg, AustriaIn this article, we focus on copulas underlying maximal non-exchangeable pairs (X,Y)\left(X,Y) of continuous random variables X,YX,Y either in the sense of the uniform metric d∞{d}_{\infty } or the conditioning-based metrics Dp{D}_{p}, and analyze their possible extent of dependence quantified by the recently introduced dependence measures ζ1{\zeta }_{1} and ξ\xi . Considering maximal d∞{d}_{\infty }-asymmetry we obtain ζ1∈56,1{\zeta }_{1}\in \left[\frac{5}{6},1\right] and ξ∈23,1\xi \in \left[\frac{2}{3},1\right], and in the case of maximal D1{D}_{1}-asymmetry we obtain ζ1∈34,1{\zeta }_{1}\in \left[\frac{3}{4},1\right] and ξ∈12,1\xi \in \left(\frac{1}{2},1\right], implying that maximal asymmetry implies a very high degree of dependence in both cases. Furthermore, we study various topological properties of the family of copulas with maximal D1{D}_{1}-asymmetry and derive some surprising properties for maximal Dp{D}_{p}-asymmetric copulas.https://doi.org/10.1515/demo-2022-0115asymmetrycopuladependence measureexchangeabilitymarkov kernel62h0562h2060e0554e52
spellingShingle Griessenberger Florian
Trutschnig Wolfgang
Maximal asymmetry of bivariate copulas and consequences to measures of dependence
Dependence Modeling
asymmetry
copula
dependence measure
exchangeability
markov kernel
62h05
62h20
60e05
54e52
title Maximal asymmetry of bivariate copulas and consequences to measures of dependence
title_full Maximal asymmetry of bivariate copulas and consequences to measures of dependence
title_fullStr Maximal asymmetry of bivariate copulas and consequences to measures of dependence
title_full_unstemmed Maximal asymmetry of bivariate copulas and consequences to measures of dependence
title_short Maximal asymmetry of bivariate copulas and consequences to measures of dependence
title_sort maximal asymmetry of bivariate copulas and consequences to measures of dependence
topic asymmetry
copula
dependence measure
exchangeability
markov kernel
62h05
62h20
60e05
54e52
url https://doi.org/10.1515/demo-2022-0115
work_keys_str_mv AT griessenbergerflorian maximalasymmetryofbivariatecopulasandconsequencestomeasuresofdependence
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