A Markovian network model for default risk management
by Wai-Ki Ching, Ho-Yin Leung, Hao Jiang, Liang Sun, Tak-Kuen Siu
International Journal of Intelligent Engineering Informatics (IJIEI), Vol. 1, No. 1, 2010

Abstract: In this paper, we study the problem of modelling the dependence of defaults in several sectors. We consider a network-based model for the default data sequences and model the sequences by a Markov chain model. The new model provides a flexible paradigm for portfolio credit risk assessment. We evaluate two important risk measures, namely, crisis value-at-risk (CRVaR) and crisis expected shortfall (CRES). Numerical experiments are given to illustrate the practical implementation of the model. We also perform empirical studies of the model using real default data and analyse the empirical behaviours of the risk measures arising from the model.

Online publication date: Wed, 02-Jun-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Engineering Informatics (IJIEI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com