Properties of hierarchical Archimedean copulas
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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 values, which is particularly useful for tests and constructing confidence intervals. Furthermore, we analyse dependence orderings, multivariate dependence measures, and extreme value copulas. We pay special attention to the tail dependencies and derive several tail dependence indices for general hierarchical Archimedean copulas.
Details
Original language | English |
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Pages (from-to) | 21-54 |
Number of pages | 34 |
Journal | Statistics and Risk Modeling |
Volume | 30 |
Issue number | 1 |
Publication status | Published - 2013 |
Peer-reviewed | Yes |
Externally published | Yes |
External IDs
ORCID | /0000-0002-8909-4861/work/171064874 |
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Keywords
ASJC Scopus subject areas
Keywords
- Archimedean copula, copula, hierarchical copula, multivariate distribution, stochastic ordering