| Article ID: | iaor2006178 |
| Country: | Netherlands |
| Volume: | 163 |
| Issue: | 1 |
| Start Page Number: | 52 |
| End Page Number: | 64 |
| Publication Date: | May 2005 |
| Journal: | European Journal of Operational Research |
| Authors: | Giacometti Rosella, Teocchi Mariangela |
| Keywords: | simulation: applications, stochastic processes |
This paper describes and analyses different pricing models for credit spread options such as Longstaff–Schwartz, Black, Das–Sundaram and Duan (GARCH-based) models. The first two models, Longstaff–Schwartz and Black, assume respectively a mean-reverting dynamic and a lognormal distribution for the spread and are representative of the so-called “spread models”. Such models consider the spread as a unique variable and provide closed form solutions for option pricing. On the contrary Das–Sundaram propose a recursive backward induction procedure to price credit spread options on a bivariate tree, which describes the dynamic of the term structure of forward risk-neutral spread and risk-free rate. This model belongs to the class of