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Original Articles

An integration preconditioning method for solving option pricing problems

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Pages 367-388 | Received 13 Sep 2019, Accepted 12 Mar 2020, Published online: 07 Apr 2020
 

ABSTRACT

In this paper, we present an integration preconditioning method to solve multi-asset option pricing problems modelled by the well-known Black-Scholes equation. This integration preconditioning technique helps transform the partial differential equations into integral equations and contribute to a well-conditioned system. It benefits the calculation from avoiding the ill-posedness of numerical derivatives approximation in solving problems modelled by partial differential equations. Two kinds of interpolation approximations: quadrature formulas and radial basis functions (RBFs) are adopted. The integration preconditioning method improves both the accuracy and stability when compared with the traditional direct differential methods. Besides, while combining with the integral operator, the RBFs are more free to select the value of shape parameters. All the introduced benefits are investigated and verified by numerical results.

Disclosure statement

No potential conflict of interest was reported by the author(s).

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