2017
DOI: 10.1051/ps/2017003
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A note on upper-patched generators for Archimedean copulas

Abstract: Abstract. The class of multivariate Archimedean copulas is defined by using a real-valued function called the generator of the copula. This generator satisfies some properties, including d-monotonicity. We propose here a new basic transformation of this generator, preserving these properties, thus ensuring the validity of the transformed generator and inducing a proper valid copula. This transformation acts only on a specific portion of the generator, it allows both the non-reduction of the likelihood on a giv… Show more

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Cited by 2 publications
(1 citation statement)
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“…While is not di cult to verify that a non-strict Archimedean copula C(u, v) is not able to model independence directly i.e. C(u, v) ≠ uv ≠ Π (u, v), it can be extremely useful when dealing with phenomena that exhibit upper tail dependence, or when one is interested in the dependence structure of random quantities that do not take on low quantiles at the same time [5,11,26]. In economics, for instance, a situation in which a non-strict copula could be a viable tool for data modeling is given by the presence of minimum production cost (including minimum wages), or the existence of some sort of technological frontier [43].…”
Section: Bivariate Archimedean Copulas: a Quick Reviewmentioning
confidence: 99%
“…While is not di cult to verify that a non-strict Archimedean copula C(u, v) is not able to model independence directly i.e. C(u, v) ≠ uv ≠ Π (u, v), it can be extremely useful when dealing with phenomena that exhibit upper tail dependence, or when one is interested in the dependence structure of random quantities that do not take on low quantiles at the same time [5,11,26]. In economics, for instance, a situation in which a non-strict copula could be a viable tool for data modeling is given by the presence of minimum production cost (including minimum wages), or the existence of some sort of technological frontier [43].…”
Section: Bivariate Archimedean Copulas: a Quick Reviewmentioning
confidence: 99%