2006
DOI: 10.1016/j.spl.2006.03.006
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On the extremal dependence coefficient of multivariate distributions

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Cited by 49 publications
(38 citation statements)
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“…First, they are exchangeable, a fact that could represented a limitation in some applications. Second, their tail behavior is only driven by the generator function F. To make this statement precise, consider the following extremal dependence coefficient introduced in [13]. …”
Section: Theorem 3 Let F : [0 1] → [0 1] Be a Continuous Df Andmentioning
confidence: 99%
“…First, they are exchangeable, a fact that could represented a limitation in some applications. Second, their tail behavior is only driven by the generator function F. To make this statement precise, consider the following extremal dependence coefficient introduced in [13]. …”
Section: Theorem 3 Let F : [0 1] → [0 1] Be a Continuous Df Andmentioning
confidence: 99%
“…Furthermore, simulation from an asymmetric multivariate stable distributions turns out to be difficult hindering the use of indirect inference estimation methods, as precisely these methods are appropriate when simulating from the model of interest is straightforward. 15 An alternative is to use a recent method proposed by Nolan (2005), which is based on projections parameter functions. Another alternative is the use of generalized elliptical distributions (cf.…”
Section: Resultsmentioning
confidence: 99%
“…For instance, the symmetric generalized hyperbolic distribution is also appropriate. The choice of the Student's t motivated by Demarta and McNeil (2005), Frahm, Junker and Szimayer (2005) and Frahm (2006) whom suggest that this distribution as a reference model for elliptically contoured distributions. 8 In actual facts, it is not strictly necessary to work with standard maximum likelihood, and more efficient algorithms such as the EM (Meng and van Dijk, 1995) can be employed.…”
Section: Elliptical Distributionsmentioning
confidence: 99%
“…In mathematical finance, U .X sWd jX d kC1Wd / can be viewed as the limiting conditional probability that X sWd violates its value-at-risk at level 1 t , given that X d kC1Wd has done so. If s D k D 1, we obtain the upper extremal dependence coefficient, U , considered in [7]. The study of systemic stability is also an important issue within the context of extreme risk dependence.…”
Section: Measures Of Tail Dependencementioning
confidence: 99%