Title of article
Tails of multivariate Archimedean copulas
Author/Authors
Charpentier، نويسنده , , Arthur and Segers، نويسنده , , Johan، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2009
Pages
17
From page
1521
To page
1537
Abstract
A 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.
Keywords
Coefficient of tail dependence , Complete monotonicity , domain of attraction , Regular variation , Tail dependence copula , Archimedean copula , Asymptotic independence , Clayton copula , Frailty Model , Survival copula , Extreme value distribution
Journal title
Journal of Multivariate Analysis
Serial Year
2009
Journal title
Journal of Multivariate Analysis
Record number
1565117
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