Cookies?
Library Header Image
LSE Research Online LSE Library Services

Point processes with contagion and an application to credit risk

Dassios, Angelos ORCID: 0000-0002-3968-2366 and Zhao, Hongbiao (2010) Point processes with contagion and an application to credit risk. In: LSE PhD posters, 0001-01-03. (Submitted)

[img]
Preview
PDF
Download (311kB) | Preview

Abstract

We introduce a new point process, the dynamic contagion process, by generalising the self excited Hawkes process (with exponential decay) by Hawkes (1971) and the Cox process with shot noise intensity by Dassios and Jang (2003). Our process includes both self excited and externally excited jumps, which can be used to model the dynamic contagion impact from endogenous and exogenous factors of the underlying system. We have systematically analysed the theoretical properties of this new process, based on the piecewise deterministic Markov process theory developed by Davis (1984), and the extension of the martingale methodology used by Dassios and Jang (2003). The analytic expressions of the Laplace transform of the intensity process and probability generating function of the point process have been derived. An explicit example of specified jumps with exponential distributions is also given. The object of this study is to produce a general mathematical framework for modelling the dependence structure of arriving events with dynamic contagion, which has the potential to be applicable to a variety of problems in economics, finance and insurance, such as credit risk and catastrophe risk. We provide an application of this process to credit risk, and the simulation algorithm for further industrial implementation and statistical analysis.

Item Type: Conference or Workshop Item (Poster)
Additional Information: © 2010 the authors
Divisions: Statistics
Subjects: H Social Sciences > HA Statistics
Date Deposited: 24 Jan 2011 15:16
Last Modified: 13 Sep 2024 14:07
URI: http://eprints.lse.ac.uk/id/eprint/31637

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics