Parallel Option Pricing with Fourier Space Time-Stepping Method on Graphics Processing Units

Parallel Computing, 36(7), pp. 372-380, 2010

7 Pages Posted: 9 Oct 2007 Last revised: 12 Jun 2013

Date Written: October 8, 2007

Abstract

With the evolution of Graphics Processing Units (GPUs) into powerful and cost-efficient computing architectures, their range of application has expanded tremendously, especially in the area of computational finance. Current research in the area, however, is limited in terms of options priced and complexity of stock price models. This paper presents algorithms, based on the Fourier Space Time-stepping (FST) method, for pricing single and multi-asset European and American options with Levy underliers on a GPU. Furthermore, the single-asset pricing algorithm is parallelized to attain greater efficiency.

Keywords: Option pricing, Levy processes, Fourier Space Time-stepping, Fast Fourier Transform, Graphics Processing Unit, parallel computing

JEL Classification: G12, G13, C61, C63

Suggested Citation

Surkov, Vladimir, Parallel Option Pricing with Fourier Space Time-Stepping Method on Graphics Processing Units (October 8, 2007). Parallel Computing, 36(7), pp. 372-380, 2010, Available at SSRN: https://ssrn.com/abstract=1020207 or http://dx.doi.org/10.2139/ssrn.1020207

Vladimir Surkov (Contact Author)

RBC Capital Markets ( email )

New York, NY
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
600
Abstract Views
2,522
rank
62,006
PlumX Metrics