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Symmetry and dependence properties within a semiparametric family of bivariate copulas

In this paper, we study a semiparametric family of bivariate copulas. The family is generated by an univariate function, determining the symmetry (radial symmetry, joint symmetry) and dependence property (quadrant dependence, total positivity, ...) of the copulas. We provide bounds on different measures of association (such as Kendall's Tau, Spearman's Rho) for this family and several choices of generating functions allowing to reach these bounds.

preprint2011arXivOpen access
Cécile AmblardStéphane Girard
math.STStatistics Theory
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Cécile AmblardStéphane Girard

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