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
Link To Document :
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