Joint survival probability via truncated invariant copula

Jeong Hoon Kim, Yong Ki Ma, Chan Yeol Park

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Given an intensity-based credit risk model, this paper studies dependence structure between default intensities. To model this structure, we use a multivariate shot noise intensity process, where jumps occur simultaneously and their sizes are correlated. Through very lengthy algebra, we obtain explicitly the joint survival probability of the integrated intensities by using the truncated invariant Farlie-Gumbel-Morgenstern copula with exponential marginal distributions. We also apply our theoretical result to pricing basket default swap spreads. This result can provide a useful guide for credit risk management.

Original languageEnglish
Pages (from-to)68-76
Number of pages9
JournalChaos, Solitons and Fractals
Volume85
DOIs
Publication statusPublished - 2016 Apr

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Mathematics(all)
  • Physics and Astronomy(all)
  • Applied Mathematics

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