Matrix analysis
Computational frameworks for the fast Fourier transform
Computational frameworks for the fast Fourier transform
A Jump-Diffusion Model for Option Pricing
Management Science
A penalty method for American options with jump diffusion processes
Numerische Mathematik
Option Pricing Under a Double Exponential Jump Diffusion Model
Management Science
Numerical solution of two asset jump diffusion models for option valuation
Applied Numerical Mathematics
Exponential time integration and Chebychev discretisation schemes for fast pricing of options
Applied Numerical Mathematics
Efficient solution of a partial integro-differential equation in finance
Applied Numerical Mathematics
On the numerical evaluation of option prices in the variance gamma model
International Journal of Computer Mathematics - RECENT ADVANCES IN COMPUTATIONAL AND APPLIED MATHEMATICS IN SCIENCE AND ENGINEERING
Journal of Computational and Applied Mathematics
Stochastic analysis on option pricing and risks controlling in a stock market
IMCAS'09 Proceedings of the 8th WSEAS international conference on Instrumentation, measurement, circuits and systems
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A jump-diffusion model for a single-asset market is considered. Under this assumption the value of a European contingency claim satisfies a general partial integro-differential equation (PIDE). The equation is localized and discretized in space using finite differences and finite elements and in time by the second order backward differentiation formula (BDF2). The resulting system is solved by an iterative method based on a simple splitting of the matrix. Using the fast Fourier transform, the amount of work per iteration may be reduced to O(n log2 n) and only O(n) entries need to be stored for each time level. Numerical results showing the quadratic convergence of the methods are given for Merton's model and Kou's model.