Time-changed CIR default intensities with two-sided mean-reverting jumps
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 of a diffusion state variable driving default intensity and a default indicator process and time change it with a L\'{e}vy subordinator . We characterize the time-changed process as a Markovian--It\^{o} semimartingale and show from the Doob--Meyer decomposition of that the default time in the time-changed model has a jump-diffusion or a pure jump intensity. When 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)