Abstract. The credit risk problem is one of the most important issues of modern ?nancial mathematics. Fundamentally it consists in computing the default probability of a company going into debt. The problem can be studied by means of Markov transition models. The generalization of the transition models by means of homogeneous semi-Markov models is presented in this paper. The idea is to consider the credit risk problem as a reliability problem. In a semi-Markov environment it is possible to consider transition probabilities that change as a function of waiting time inside a state. The paper also shows how to apply semi-Markov reliability models in a credit risk environment. In the last section an example of the model is provided.

Homogeneous semi-Markov reliability models for credit risk management / D'Amico, G.; Janssen, J.; Manca, Raimondo. - In: DECISIONS IN ECONOMICS AND FINANCE. - ISSN 1593-8883. - STAMPA. - 28:(2006), pp. 79-93.

Homogeneous semi-Markov reliability models for credit risk management

MANCA, Raimondo
2006

Abstract

Abstract. The credit risk problem is one of the most important issues of modern ?nancial mathematics. Fundamentally it consists in computing the default probability of a company going into debt. The problem can be studied by means of Markov transition models. The generalization of the transition models by means of homogeneous semi-Markov models is presented in this paper. The idea is to consider the credit risk problem as a reliability problem. In a semi-Markov environment it is possible to consider transition probabilities that change as a function of waiting time inside a state. The paper also shows how to apply semi-Markov reliability models in a credit risk environment. In the last section an example of the model is provided.
2006
semi-Markov processe; credit risk; reliability
01 Pubblicazione su rivista::01a Articolo in rivista
Homogeneous semi-Markov reliability models for credit risk management / D'Amico, G.; Janssen, J.; Manca, Raimondo. - In: DECISIONS IN ECONOMICS AND FINANCE. - ISSN 1593-8883. - STAMPA. - 28:(2006), pp. 79-93.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/90686
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