TY - JOUR
T1 - Multiscale intensity models for single name credit derivatives
AU - Papageorgiou, E.
AU - Sircar, R.
N1 - Funding Information:
Correspondence Address: E. Papageorgiou, Department of Operations Research & Financial Engineering, Princeton University, E-Quad, Princeton, NJ 08544, USA. Email: [email protected] Work partially supported by NSF grants DMS-0306357 and DMS-0456195.
PY - 2008/2
Y1 - 2008/2
N2 - We study the pricing of defaultable derivatives, such as bonds, bond options, and credit default swaps in the reduced form framework of intensity-based models. We use regular and singular perturbation expansions on the intensity of default from which we derive approximations for the pricing functions of these derivatives. In particular, we assume an Ornstein-Uhlenbeck process for the interest rate, and a two-factor diffusion model for the intensity of default. The approximation allows for computational efficiency in calibrating the model. Finally, empirical evidence on the existence of multiple scales is presented by the calibration of the model on corporate yield curves.
AB - We study the pricing of defaultable derivatives, such as bonds, bond options, and credit default swaps in the reduced form framework of intensity-based models. We use regular and singular perturbation expansions on the intensity of default from which we derive approximations for the pricing functions of these derivatives. In particular, we assume an Ornstein-Uhlenbeck process for the interest rate, and a two-factor diffusion model for the intensity of default. The approximation allows for computational efficiency in calibrating the model. Finally, empirical evidence on the existence of multiple scales is presented by the calibration of the model on corporate yield curves.
KW - Asymptotic approximation
KW - Credit default swap
KW - Defaultable bond
KW - Defaultable bond option
KW - Time scales
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U2 - 10.1080/13504860701352222
DO - 10.1080/13504860701352222
M3 - Article
AN - SCOPUS:41149127313
SN - 1350-486X
VL - 15
SP - 73
EP - 105
JO - Applied Mathematical Finance
JF - Applied Mathematical Finance
IS - 1
ER -