• 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