Multivariate elliptically contoured stable distributions: theory and estimation

Authors:
John P. Nolan
Affiliations:
American University, Washington, USA
Venue:
Computational Statistics
Year:
2013

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Abstract

Stable distributions with elliptical contours are a class of distributions that are useful for modeling heavy tailed multivariate data. This paper describes the theory of such distributions, presents formulas for calculating their densities, and methods for fitting the data and assessing the fit. Efficient numerical routines are implemented and evaluated in simulations. Applications to data sets of a financial portfolio with 30 assets and to a bivariate radar clutter data set are presented.