Multiple risk factor dependence structures: Distributional properties

35 Pages Posted: 23 Nov 2015 Last revised: 17 Jul 2016

See all articles by Jianxi Su

Jianxi Su

Purdue University - Department of Statistics

Edward Furman

York University - Department of Mathematics and Statistics

Date Written: July 16, 2016

Abstract

We introduce a class of dependence structures, that we call the Multiple Risk Factor (MRF) dependence structures. On the one hand, the new constructions extend the popular CreditRisk approach, and as such they formally describe default risk portfolios exposed to an arbitrary number of fatal risk factors with conditionally exponential and dependent hitting (or occurrence) times. On the other hand, the MRF structures can be seen as an encompassing family of multivariate probability distributions with univariate margins distributed Pareto of the 2nd kind, and in this role they can be used to model insurance risk portfolios of dependent and heavy tailed risk components.

Keywords: Multivariate distributions, dependence, singularity, Pareto distributions, credit risk, factor models, weighted risk functionals

Suggested Citation

Su, Jianxi and Furman, Edward, Multiple risk factor dependence structures: Distributional properties (July 16, 2016). Available at SSRN: https://ssrn.com/abstract=2694308 or http://dx.doi.org/10.2139/ssrn.2694308

Jianxi Su (Contact Author)

Purdue University - Department of Statistics ( email )

West Lafayette, IN 47907
United States

Edward Furman

York University - Department of Mathematics and Statistics ( email )

4700 Keele Street
Toronto, M3J 1P3
Canada

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