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Output details

11 - Computer Science and Informatics

University of East Anglia

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Output 24 of 70 in the submission
Article title

Extreme value properties of multivariate t copulas

Type
D - Journal article
Title of journal
Extremes
Article number
-
Volume number
12
Issue number
2
First page of article
129
ISSN of journal
1572-915X
Year of publication
2008
URL
-
Number of additional authors
2
Additional information

<13>Bivariate extreme value (EV) copulas can be derived using the standard techniques of EV theory. We introduce the tail dependence functions to allow the derivation in higher dimensions. They provide a powerful method for deriving multivariate EV limit distributions and tail probabilities that enable the characterization of measures of extremal dependence. We evaluate these functions for the multivariate t copula and derive the t-EV copula and the limits of the latter. We establish the sharpness of the inequality among bivariate tail dependence parameters using these limits and show t copulas cover a wide range of refection symmetric tail dependence.

Interdisciplinary
Yes
Cross-referral requested
10 - Mathematical Sciences
Research group
None
Citation count
20
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-