New bond pricing models with applications to Japanese data

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

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

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.


2013 ◽  
Vol 28 (5) ◽  
pp. 775-803 ◽  
Author(s):  
Jonathan A. Batten ◽  
Karren Lee-Hwei Khaw ◽  
Martin R. Young

2020 ◽  
Vol 13 (9) ◽  
pp. 199
Author(s):  
Xing (Alex) Zhou

Traditional corporate bond pricing models have had limited success in explaining actual corporate yield spreads [...]


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