A compact finite difference scheme for solving fractional Black-Scholes option pricing model
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作者:
Feng, Yuelong
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Xinjiang Normal Univ, Sch Math Sci, Urumqi 830017, Xinjiang, Peoples R ChinaXinjiang Normal Univ, Sch Math Sci, Urumqi 830017, Xinjiang, Peoples R China
Feng, Yuelong
[1
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Zhang, Xindong
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机构:
Guizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R ChinaXinjiang Normal Univ, Sch Math Sci, Urumqi 830017, Xinjiang, Peoples R China
Zhang, Xindong
[2
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Chen, Yan
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Xinjiang Univ Technol, Coll Gen Studies, Hotan 848000, Peoples R ChinaXinjiang Normal Univ, Sch Math Sci, Urumqi 830017, Xinjiang, Peoples R China
Chen, Yan
[3
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Wei, Leilei
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Henan Univ Technol, Sch Math & Stat, Zhengzhou 450001, Peoples R ChinaXinjiang Normal Univ, Sch Math Sci, Urumqi 830017, Xinjiang, Peoples R China
Wei, Leilei
[4
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机构:
[1] Xinjiang Normal Univ, Sch Math Sci, Urumqi 830017, Xinjiang, Peoples R China
[2] Guizhou Univ Finance & Econ, Coll Big Data Stat, Guiyang 550025, Peoples R China
[3] Xinjiang Univ Technol, Coll Gen Studies, Hotan 848000, Peoples R China
[4] Henan Univ Technol, Sch Math & Stat, Zhengzhou 450001, Peoples R China
In this work, we introduce an efficient compact finite difference (CFD) method for solving the time-fractional Black-Scholes (TFBS) option pricing model. The time-fractional derivative is described using Caputo-Fabrizio (C-F) fractional derivative, and a compact finite difference method is employed to discretize the spatial derivative. The main contribution of this work is to develop a high-order discrete scheme for the TFBS model. In the numerical scheme, we have developed a convergence rate of O(tau 2+h4)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$O(\tau <^>{2} + h<^>{4})$\end{document}, where tau denotes the temporal step and h represents the spatial step. To verify the effectiveness of the proposed method, we have conducted stability analysis and error estimation using the Fourier method. Furthermore, a series of numerical experiments were conducted, and the numerical results demonstrated the theoretical order of accuracy and illustrated the effectiveness of the proposed method.
机构:
School of Economics and Statistics, Guangzhou University, Guangzhou,510006, ChinaSchool of Economics and Statistics, Guangzhou University, Guangzhou,510006, China
Sun, Yesen
Gong, Wenxiu
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机构:
College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao,266590, ChinaSchool of Economics and Statistics, Guangzhou University, Guangzhou,510006, China
Gong, Wenxiu
Dai, Hongliang
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School of Economics and Statistics, Guangzhou University, Guangzhou,510006, ChinaSchool of Economics and Statistics, Guangzhou University, Guangzhou,510006, China
Dai, Hongliang
Yuan, Long
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机构:
College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao,266590, ChinaSchool of Economics and Statistics, Guangzhou University, Guangzhou,510006, China