Tails of multivariate Archimedean copulas

dc.creatorCharpentier, Arthur
dc.creatorSegers, Johan
dc.date2009-01-12
dc.date.accessioned2026-07-07T12:28:23Z
dc.date.available2026-07-07T12:28:23Z
dc.descriptionA complete and user-friendly directory of tails of Archimedean copulas is presented which can be used in the selection and construction of appropriate models with desired properties. The results are synthesized in the form of a decision tree: Given the values of some readily computable characteristics of the Archimedean generator, the upper and lower tails of the copula are classified into one of three classes each, one corresponding to asymptotic dependence and the other two to asymptotic independence. For a long list of single-parameter families, the relevant tail quantities are computed so that the corresponding classes in the decision tree can easily be determined. In addition, new models with tailor-made upper and lower tails can be constructed via a number of transformation methods. The frequently occurring category of asymptotic independence turns out to conceal a surprisingly rich variety of tail dependence structures.
dc.descriptionto appear in the Journal of Multivariate Analysis
dc.identifierhttps://arxiv.org/abs/0901.1521
dc.identifierhttp://arxiv.org/abs/0901.1521
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/215522
dc.subjectProbability
dc.subject60G70; 62E20
dc.titleTails of multivariate Archimedean copulas
dc.typetext

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