alexa Estimation and Simulation of Bond Option Pricing on the
ISSN: 2168-9679

Journal of Applied & Computational Mathematics
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Research Article

Estimation and Simulation of Bond Option Pricing on the Arbitrage Free Model with Jump

Kisoeb Park1, Seki Kim1* and William T Shaw2

1Department of Mathematics, Sungkyunkwan University, Korea

2Department of Mathematics, King’s College London, United Kingdom

*Corresponding Author:
Seki Kim
Department of Mathematics
Sungkyunkwan University, Korea
Tel: 82 2-760-0114
E-mail: [email protected]

Received Date: January 09, 2014; Accepted Date: February 22, 2014; Published Date: February 25, 2014

Citation: Park K, Kim S, Shaw WT (2014) Estimation and Simulation of Bond Option Pricing on the Arbitrage Free Model with Jump. J Appl Computat Math 3:155. doi: 10.4172/2168-9679.1000155

Copyright: © 2014 Park K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Three contents for the pricing of bond options on the arbitrage-free model with jump are included in this paper. The first uses a new technique to derive a Closed-Form Solution (CFS) for bond options on Hull and White (HW) model with jump. The second deals with the pricing of bond option for Heath-Jarrow-Morton (HJM) model based on jump, and the third simulates the proposed models by the Monte Carlo Simulation (MCS). We also analyze the values obtained by the CFS and MCS. There is a substantial difference between bond option prices which are obtained by the HW model with jump and the HJM model based on jump. For this, we use the well-known Mean Standard Error (MSE) and show that lower value of Precision (PCS) in the proposed models corresponds to sharper estimates. In particular, we confirm that the PCS for the HJM based on jump is lower than that for the HW model with jump. Through the empirical simulation of our method suggested, we obtain a better accurate estimation for the pricing of bond options.


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