A Computational Scheme for Options Under Jump Diffusion Processes

A Computational Scheme for Options Under Jump Diffusion Processes

Year:    2009

International Journal of Numerical Analysis and Modeling, Vol. 6 (2009), Iss. 1 : pp. 110–123

Abstract

In this paper we develop two novel numerical methods for the partial integral differential equation arising from the valuation of an option whose underlying asset is governed by a jump diffusion process. These methods are based on a fitted finite volume method for the spatial discretization, an implicit-explicit time stepping scheme and the Crank-Nicolson time stepping method. We show that the discretization methods are unconditionally stable in time and the system matrices of the resulting linear systems are M-matrices. The resulting linear systems involve products of a dense matrix and vectors and an Fast Fourier Transformation (FFT) technique is used for the evaluation of these products. Furthermore, a splitting technique is proposed for the solution of the discretized system arising from the Crank-Nicolson scheme. Numerical results are presented to show the rates of convergence and the robustness of the numerical method.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2009-IJNAM-758

International Journal of Numerical Analysis and Modeling, Vol. 6 (2009), Iss. 1 : pp. 110–123

Published online:    2009-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    14

Keywords:    Jump diffusion processes option pricing finite volume method integral partial differential equation FFT.