DocumentCode
1720997
Title
Option pricing with the SABR model on the GPU
Author
Tian, Yu ; Zhu, Zili ; Klebaner, Fima C. ; Hamza, Kais
Author_Institution
School of Mathematical Sciences, Monash University, Clayton, VIC3800, Australia
fYear
2010
Firstpage
1
Lastpage
8
Abstract
In this paper, we will present our research on the acceleration for option pricing using Monte Carlo techniques on the GPU. We first introduce some basic ideas of GPU programming and then the stochastic volatility SABR model. Under the SABR model, we discuss option pricing with Monte Carlo techniques. In particular, we focus on European option pricing using quasi-Monte Carlo with the Brownian bridge method and American option pricing using the least squares Monte Carlo method. Next, we will study a GPU-based program for pricing European options and a hybrid CPU-GPU program for pricing American options. Finally, we implement our GPU programs, and compare their performance with their CPU counterparts. From our numerical results, around 100× speedup in European option pricing and 10× speedup in American option pricing can be achieved by GPU computing while maintaining satisfactory pricing accuracy.
Keywords
Computational modeling; Europe; Graphics processing unit; Instruction sets; Monte Carlo methods; Pricing; Stochastic processes; CUDA; GPU; SABR model; option pricing; quasi-Monte Carlo;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computational Finance (WHPCF), 2010 IEEE Workshop on
Conference_Location
New Orleans, LA, USA
Print_ISBN
978-1-4244-9062-2
Type
conf
DOI
10.1109/WHPCF.2010.5671816
Filename
5671816
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