Parallel Computing for Option Pricing Based on the Backward Stochastic Differential Equation
The Backward Stochastic Differential Equation (BSDE)is a robust tool for financial derivatives pricing and risk management. In this paper, we explore the opportunity for parallel computing with BS-DEs in financial engineering. A binomial tree based numerical method for BSDEs is investigated and applied to option pricing. According to the special structure of the numerical model, we develop a block allocation algorithm in parallelization, where large communication overhead is avoided. Runtime experiments manifest optimistic speedups for the parallel implementation.
Ying Peng Bin Gong Hui Liu Yanxin Zhang
School of Computer Science and Technology, Shandong University,Jinan 250101, P.R. China School of Computer Science and Technology,Shandong University,Jinan 250101, P.R. China
国际会议
The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)
上海
英文
325-330
2009-08-10(万方平台首次上网日期,不代表论文的发表时间)