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摘要:
We present a parallel algorithm that computes the ask and bid prices of an American option when proportional transaction costs apply to trading in the underlying asset. The algorithm computes the prices on recombining binomial trees, and is designed for modern multi-core processors. Although parallel option pricing has been well studied, none of the existing approaches takes transaction costs into consideration. The algorithm that we propose partitions a binomial tree into blocks. In any round of computation a block is further partitioned into regions which are assigned to distinct processors. To minimise load imbalance the assignment of nodes to processors is dynamically adjusted before each new round starts. Synchronisation is required both within a round and between two successive rounds. The parallel speedup of the algorithm is proportional to the number of processors used. The parallel algorithm was implemented in C/C++ via POSIX Threads, and was tested on a machine with 8 processors. In the pricing of an American put option, the parallel speedup against an efficient sequential implementation was 5.26 using 8 processors and 1500 time steps, achieving a parallel efficiency of 65.75%.
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篇名 Parallel Binomial American Option Pricing under Proportional Transaction Costs
来源期刊 应用数学(英文) 学科 医学
关键词 PARALLEL Algorithm American OPTION PRICING BINOMIAL Tree Model TRANSACTION COSTS
年,卷(期) 2012,(11) 所属期刊栏目
研究方向 页码范围 1795-1810
页数 16页 分类号 R73
字数 语种
DOI
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研究主题发展历程
节点文献
PARALLEL
Algorithm
American
OPTION
PRICING
BINOMIAL
Tree
Model
TRANSACTION
COSTS
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研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
应用数学(英文)
月刊
2152-7385
武汉市江夏区汤逊湖北路38号光谷总部空间
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1878
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