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Properties of Hierarchical Archimedean Copulas

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Author Info
Ostap Okhrin
Yarema Okhrin
Wolfgang Schmid

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Abstract

In this paper we analyse the properties of hierarchical Archimedean copulas. This class is a generalisation of the Archimedean copulas and allows for general non-exchangeable dependency structures. We show that the structure of the copula can be uniquely recovered from all bivariate margins. We derive the distribution of the copula value, which is particularly useful for tests and constructing con¯dence intervals. Furthermore, we analyse dependence orderings, multivariate dependence measures and extreme value copulas. Special attention we pay to the tail dependencies and derive several tail dependence indices for general hierarchical Archimedean copulas.

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File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2009-014.pdf
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Publisher Info
Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2009-014.

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Length: 33 pages
Date of creation: Mar 2009
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Handle: RePEc:hum:wpaper:sfb649dp2009-014

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Related research
Keywords: copula; multivariate distribution; Archimedean copula; stochastic ordering; hierarchical copula;

Find related papers by JEL classification:
C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Econometric and Statistical Methods; Specific Distributions
C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions

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References listed on IDEAS
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  1. Genest, Christian & Rivest, Louis-Paul, 1989. "A characterization of gumbel's family of extreme value distributions," Statistics & Probability Letters, Elsevier, vol. 8(3), pages 207-211, August. [Downloadable!] (restricted)
  2. Nelsen, Roger B., 1997. "Dependence and Order in Families of Archimedean Copulas," Journal of Multivariate Analysis, Elsevier, vol. 60(1), pages 111-122, January. [Downloadable!] (restricted)
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This page was last updated on 2009-11-25.


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