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  • 标题:Reconstruction of a Volatility Based on the Black-Scholes Option Pricing Model Using Homotopy Perturbation Inversion Method
  • 本地全文:下载
  • 作者:Yixin Dou ; Jianhua Fu ; Zhihao Wang
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2016
  • 卷号:9
  • 期号:9
  • 页码:111-122
  • 出版社:SERSC
  • 摘要:The reconstruction of a volatility based on a Black-Scholes option pricing model is ill-posed. In order to overcome the ill-posedness, a homotopy perturbation inversion method is designed to solve the inverse problem. The proposed method is a modified version of the Landweber method. The reconstruction of a volatility is a nonlinear problem which is needed to be linearized. Hence, numerical experiments consist of the reconstruction of a policy parameter based on a Todaro model which is a linear inverse problem and the reconstruction of a volatility based on a Black-Scholes option pricing model in order to test the performance of the proposed method. Numerical examples show that the proposed method is more accurate and faster than the Landweber method.
  • 关键词:Option Pricing; Black-Scholes Model; Inverse Problem; Volatility; ;Homotopy Perturbation Inversion Method
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