Rannacher time-marching with orthogonal spline collocation method for retrieving the discontinuous behavior of hedging parameters
作者:
Highlights:
• To demonstrate the feasibility of the proposed system, financially relevant irregular initial data-based problems are used.
• For problems with discontinuous derivative functions (Greeks in finance), the orthogonal spline collocation approach has been shown to be extremely accurate.
• The Rannacher time-marching scheme is shown to be superior to the backward Euler and Crank-Nicolson schemes in terms of computational cost and accuracy. Also it is sufficient to restore the expected behavior.
• An analysis of the current numerical scheme’s theoretical and numerical convergence is provided.
• The current research can be applied to the trading industry to reduce risk and control portfolios. In addition, the current scheme is simple to incorporate and apply to a variety of non-smooth initial data-based moving boundary value problems for future computational studies.
摘要
•To demonstrate the feasibility of the proposed system, financially relevant irregular initial data-based problems are used.•For problems with discontinuous derivative functions (Greeks in finance), the orthogonal spline collocation approach has been shown to be extremely accurate.•The Rannacher time-marching scheme is shown to be superior to the backward Euler and Crank-Nicolson schemes in terms of computational cost and accuracy. Also it is sufficient to restore the expected behavior.•An analysis of the current numerical scheme’s theoretical and numerical convergence is provided.•The current research can be applied to the trading industry to reduce risk and control portfolios. In addition, the current scheme is simple to incorporate and apply to a variety of non-smooth initial data-based moving boundary value problems for future computational studies.
论文关键词:Black-Scholes model,Free boundary problem,Non-smooth function,Rannacher scheme,Orthogonal splines,Option pricing
论文评审过程:Received 21 October 2021, Revised 9 March 2022, Accepted 5 April 2022, Available online 18 April 2022, Version of Record 18 April 2022.
论文官网地址:https://doi.org/10.1016/j.amc.2022.127168