Tail Dependence of Multivariate Pareto Distributions

@inproceedings{Li2006TailDO,
  title={Tail Dependence of Multivariate Pareto Distributions},
  author={Haijun Li},
  year={2006}
}
Various multivariate Pareto distributions are known to exhibit the heavy tail behaviors. This paper examines the tail dependence properties of a general class of multivariate Pareto distributions with the Pareto index and some common scale parameters. The multivariate tail dependence describes the amount of dependence in the upper-orthant tail or lower-orthant tail of a multivariate distribution and can be used in the study of dependence among extreme values. We derive the explicit expressions… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 11 references

A multivariate exponential distribution

  • A. W. Marshall, I. Olkin
  • J. Amer. Statist. Assoc
  • 1967
Highly Influential
12 Excerpts

Modeling Dependence with Copulas and Applications to Risk Management

  • P. Embrechts, F. Lindskog, A. McNeil
  • Handbook of Heavy Tailed Distributions in Finance…
  • 2003

Continuous Multivariate Distributions

  • S. Kotz, N. Balakrishnan, N. L. Johnson
  • 2000

An Introduction to Copulas

  • R. Nelson
  • 1999
1 Excerpt

Multivariate Models and Dependence Concepts

  • H. Joe
  • 1997
1 Excerpt

Characterization of a Marshall-Olkin type class of distributions

  • P. Muliere, M. Scarsini
  • Annals of the Institute of Statistical…
  • 1987

Extreme Values, Regularly Variation, and Point Processes, Springer, New York

  • S. Resnick
  • 1987
1 Excerpt

Fonctions de répartition à n dimensions et leurs marges

  • A. Sklar
  • Publications de l’Institut de statistique de l…
  • 1959
1 Excerpt

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