On the formulation of credit barrier model using radial basis functions

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

1 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)1437-1452
Journal / PublicationJournal of the Operational Research Society
Volume65
Issue number9
Early online date21 Aug 2013
Publication statusPublished - Sep 2014

Abstract

Albanese et al in 2003 and Avellaneda and Zhu in 2001 develop the framework of credit barrier model. They provide special solutions to the model in case of simple stochastic structure. The technical aspect of the model remains wide open for general stochastic structure that is crucial when the model is required to calibrate with aggregate amount of empirical data. This paper provides a technical solution to this problem with the use of radial basis functions (RBF). This paper discusses the numerical implementation of the credit barrier model using the RBF method. It also demonstrates that the RBF method is numerically tractable in this problem and allows in the model richer stochastic structure capable of capturing relevant market information.

Research Area(s)

  • credit migration, Kolmogorov equation, radial basis function