Black-Scholes 方程的拉普拉斯变换方法
Laplace transformation method for the Black-Scholes equation
AI总结:
本文应用 Sheen、Sloan 和 Thomée 提出的创新拉普拉斯变换方法求解 Black-Scholes 方程,该方法具有任意高阶收敛性且天然可并行,并通过多种期权数值实验验证了其高效性。
摘要:
本文应用 Sheen、Sloan 和 Thomée (IMA J. Numer. Anal., 2003) 提出的创新拉普拉斯变换方法求解 Black-Scholes 方程。该算法具有任意高阶收敛性且天然可并行。结果表明,该方法在计算各种期权时非常高效。分析了拉普拉斯变换后的 Black-Scholes 方程的存在唯一性。还提出了与拉普拉斯变换方法相关的透明边界条件。多种情况下各种期权的数值结果证实了所提方案的效率、收敛性和并行性。
英文摘要:
In this paper we apply the innovative Laplace transformation method introduced by Sheen, Sloan, and Thomée (IMA J. Numer. Anal., 2003) to solve the Black-Scholes equation. The algorithm is of arbitrary high convergence rate and naturally parallelizable. It is shown that the method is very efficient for calculating various options. Existence and uniqueness properties of the Laplace transformed Black-Scholes equation are analyzed. Also a transparent boundary condition associated with the Laplace transformation method is proposed. Several numerical results for various options under various situations confirm the efficiency, convergence and parallelization property of the proposed scheme.
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