A Comparison of Bond Pricing Models in the Pricing of Credit Risk

Author(s):  
Miikka Petteri Tauren
2008 ◽  
Vol 15 (3) ◽  
pp. 219-249 ◽  
Author(s):  
S. Antes ◽  
M. Ilg ◽  
B. Schmid ◽  
R. Zagst

2005 ◽  
Vol 78 (2) ◽  
pp. 707-735 ◽  
Author(s):  
Jan Ericsson ◽  
Joel Reneby

2014 ◽  
Vol 2014 ◽  
pp. 1-13
Author(s):  
Wei-Guo Zhang ◽  
Ping-Kang Liao

This paper discusses the convertible bonds pricing problem with regime switching and credit risk in the convertible bond market. We derive a Black-Scholes-type partial differential equation of convertible bonds and propose a convertible bond pricing model with boundary conditions. We explore the impact of dilution effect and debt leverage on the value of the convertible bond and also give an adjustment method. Furthermore, we present two numerical solutions for the convertible bond pricing model and prove their consistency. Finally, the pricing results by comparing the finite difference method with the trinomial tree show that the strength of the effect of regime switching on the convertible bond depends on the generator matrix or the regime switching strength.


2004 ◽  
Vol 36 (1) ◽  
pp. 69-76 ◽  
Author(s):  
C. A. Pooe ◽  
F. M. Mahomed ◽  
C. Wafo Soh

1991 ◽  
Vol 15 (11) ◽  
pp. 77-98 ◽  
Author(s):  
Lester Ingber ◽  
Michael F. Wehner ◽  
George M. Jabbour ◽  
Theodore M. Barnhill

1994 ◽  
Vol 1 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Takeaki Kariya ◽  
Hiroshi Tsuda
Keyword(s):  

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Carolyn W. Chang ◽  
Yalan Feng

AbstractHurricane bonds are parametric in nature as they have a dual-exercise structure: the first exercise is conditional on the hurricane’s physical landfall location and the second is conditional upon the embedded option ending in-the-money. We propose a coupled and physically-based hurricane bond pricing model via Monte Carlo simulation that resolves the dual exercise, which was not addressed in extant loss-based catastrophe bond pricing models. This coupled model is developed at the nexus of atmospheric science and finance by integrating hurricane risk modeling and option pricing. By applying this model to price a parametric hurricane bond, we demonstrate how a hurricane bond’s price is sensitive to its underlying hurricane’s physical parameters – genesis, heading, translation speed, velocity, and radius.


Sign in / Sign up

Export Citation Format

Share Document