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An implicit-explicit preconditioned direct method for pricing options under regime-switching tempered fractional partial differential models (广东工业大学陈旭博士 No.378)
日期: 2020-11-19      信息来源:      点击数:
 

报告人:陈旭博士 (广东工业大学)

报告时间: 2020年11月19日下午15:00

报告地点:腾讯会议(会议ID:162 962 063)

报告摘要:

Recently, fractional partial differential equations have been widely applied in options pricing problems, which better explain many important empirical facts of financial markets, but rare paper considers the multi-state options pricing problem based on fractional diffusion models. Thus, multi-state European options pricing problem under regime-switching tempered fractional partial differential equation is considered in this paper. Due to the expensive computational cost caused by the implicit finite difference scheme, a novel implicit-explicit finite difference scheme has been developed with consistency, stability and convergence guarantee. Since the resulting coefficient matrix equals to the direct sum of several Toeplitz matrices, a preconditioned direct method has been proposed with O(SN log N+S^2 N) operation cost on each time levels with adaptability analysis, where S is the number of states and N is the number of grid points. Related numerical experiments including an empirical example have been presented to demonstrate the effectiveness and accuracy of the proposed numerical method.

报告人简介:

陈旭,广东工业大学金融系一级讲师,广东工业大学“青年百人”计划引进人才。本科就读于汕头大学应用数学(金融方向)专业,博士就读于澳门大学计算数学专业。主要研究领域为分数阶偏微分方程数值解、数值线性代数和金融衍生品定价算法。目前在J. Sci. Comput., Comput. Math. Appl.等SCI/EI检索杂志累计发表论文十余篇。

 

 

 

 

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