On Hybrid Model for the Valuation of Credit Risk
Applied and Computational Mathematics
Volume 3, Issue 6-1, December 2014, Pages: 8-11
Received: Aug. 1, 2014; Accepted: Aug. 6, 2014; Published: Aug. 13, 2014
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Fadugba Sunday Emmanuel, Department of Mathematical Sciences, Ekiti State University, Ado Ekiti, Ekiti State, Nigeria
Edogbanya Olaronke Helen, Department of Mathematics, Federal University, Lokoja, Kogi State, Nigeria
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This paper presents hybrid model for the valuation of credit risk. Credit risk arises whenever a borrower is expecting to use future cash flows to pay a current debt. It is closely tied to the potential return of investment, the most notable being that the yields on bonds correlate strongly to their perceived credit risk. Hybrid model combines the structural and intensity-based approaches. While avoiding their difficulties, it picks the best features of both approaches; the economic and intuitive appeal of the structural approach and the tractability and empirical fit of the intensity-based approach. In credit derivatives market there are quite a few securities that depend on more than one source of risk, like corporate bonds and convertible bonds, most attractive credit models should involve all these three sources of risk, and interest-rate risk. Our framework brings together these standard block.
Hazard Rate, Hybrid, Martingale Measure
To cite this article
Fadugba Sunday Emmanuel, Edogbanya Olaronke Helen, On Hybrid Model for the Valuation of Credit Risk, Applied and Computational Mathematics. Special Issue: Computational Finance. Vol. 3, No. 6-1, 2014, pp. 8-11. doi: 10.11648/j.acm.s.2014030601.12
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