Discrete Time Non-Homogeneous Semi-Markov Reliability Transition Credit Risk Models and the Default Distribution Functions

Authors: D’Amico, Guglielmo1; Janssen, Jacques2; Manca, Raimondo3

Source: Computational Economics, Volume 38, Number 4, November 2011 , pp. 465-481(17)

Publisher: Springer

Buy & download fulltext article:

OR

Price: $47.00 plus tax (Refund Policy)

Abstract:

This paper shows how to apply discrete time non-homogeneous semi-Markov processes (DTNHSMP) with an age index to credit risk. The idea is to consider the credit risk problem as a reliability model indexed by the age and in this way, many semi-Markov results could be adapted to describe credit risk problem. The default state is seen as a “non working state”. As the semi-Markov process is a generalization of Markov process, the presented model can be seen as a more general migration model. In fact, in semi-Markov environment the distribution function (d.f.) of the waiting time before a transition can be of any type and without the strong constraints of the Markov model. Furthermore, some results on the asymptotic behavior of the presented model are given. This permits the construction of the d.f. of the default random variable for each “working state”. An example, constructed manipulating some Standard & Poor’s (S&P) data, is presented.

Keywords: Age index; Asymptotic behaviour; Mono-unireducibility; Non-homogeneity

Document Type: Research Article

DOI: http://dx.doi.org/10.1007/s10614-010-9219-x

Affiliations: 1: Dipartimento di Scienze del Farmaco, Università “G. D’Annunzio” di Chieti, via dei Vestini 31, 66013, Chieti, Italy, Email: g.damico@unich.it 2: Jacan & EURIA, Université de Bretagne Occidentale, 6 avenue le Gorgeu, CS 93837, 29238, BREST Cedex 3, France 3: Dipartimento di Matematica per le Decisioni Economiche Finanziarieed Assicurative, Università “La Sapienza” Roma, via del Castro Laurenziano 9, 00161, Roma, Italy

Publication date: November 1, 2011

Related content

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page