The aim of the present manuscript is to develop an efficient and accurate numerical method for pricing the option when underlying asset follows jump diffusion process. The governing equation is time semi discretized by using the implicit–explicit Crank-Nicolson Leap-Frog scheme followed by radial basis function based finite difference method. Numerical results are presented to show the efficiency of the methods for put and call option under Merton and Kou model. The stability of time semi discretized scheme is also proved.
机构:
Seoul Natl Univ, Interdisciplinary Program Computat Sci & Technol, Seoul 151747, South KoreaSeoul Natl Univ, Interdisciplinary Program Computat Sci & Technol, Seoul 151747, South Korea
Lee, Hyoseop
Sheen, Dongwoo
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Seoul Natl Univ, Interdisciplinary Program Computat Sci & Technol, Seoul 151747, South Korea
Seoul Natl Univ, Dept Math, Seoul 151747, South KoreaSeoul Natl Univ, Interdisciplinary Program Computat Sci & Technol, Seoul 151747, South Korea
机构:
Shanghai Jiao Tong Univ, Financial Engn Res Ctr, Shanghai 200052, Peoples R ChinaS China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R China
Xu, Weidong
Wu, Chongfeng
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Shanghai Jiao Tong Univ, Financial Engn Res Ctr, Shanghai 200052, Peoples R ChinaS China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R China
Wu, Chongfeng
Xu, Weijun
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S China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R ChinaS China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R China
Xu, Weijun
Li, Hongyi
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Chinese Univ Hong Kong, Fac Business Adm, Shatin, Hong Kong, Peoples R ChinaS China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R China
机构:
Hong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China
Cai, Ning
Kou, S. G.
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Columbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USAHong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China