English

Time-changed CIR default intensities with two-sided mean-reverting jumps

Pricing of Securities 2014-03-24 v1 Probability

Abstract

The present paper introduces a jump-diffusion extension of the classical diffusion default intensity model by means of subordination in the sense of Bochner. We start from the bi-variate process (X,D)(X,D) of a diffusion state variable XX driving default intensity and a default indicator process DD and time change it with a L\'{e}vy subordinator T{\mathcal{T}}. We characterize the time-changed process (Xtϕ,Dtϕ)=(X(Tt),D(Tt))(X^{\phi}_t,D^{\phi}_t)=(X({\mathcal{T}}_t),D({\mathcal{T}}_t)) as a Markovian--It\^{o} semimartingale and show from the Doob--Meyer decomposition of DϕD^{\phi} that the default time in the time-changed model has a jump-diffusion or a pure jump intensity. When XX is a CIR diffusion with mean-reverting drift, the default intensity of the subordinate model (SubCIR) is a jump-diffusion or a pure jump process with mean-reverting jumps in both directions that stays nonnegative. The SubCIR default intensity model is analytically tractable by means of explicitly computed eigenfunction expansions of relevant semigroups, yielding closed-form pricing of credit-sensitive securities.

Cite

@article{arxiv.1403.5402,
  title  = {Time-changed CIR default intensities with two-sided mean-reverting jumps},
  author = {Rafael Mendoza-Arriaga and Vadim Linetsky},
  journal= {arXiv preprint arXiv:1403.5402},
  year   = {2014}
}

Comments

Published in at http://dx.doi.org/10.1214/13-AAP936 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-22T03:31:28.235Z