Efficient Scheme for the Economic Heston–Hull–White Problem Using Novel RBF-FD Coefficients Derived from Multiquadric Function Integrals
Tao Liu,
Zixiao Zhao,
Shiyi Ling,
Heyang Chao,
Hasan Fattahi Nafchi,
Stanford Shateyi
Affiliations
Tao Liu
School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
Zixiao Zhao
School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
Shiyi Ling
School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
Heyang Chao
School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
Hasan Fattahi Nafchi
Department of Accounting, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan 81746-73441, Iran
Stanford Shateyi
Department of Mathematics and Applied Mathematics, School of Mathematical and Natural Sciences, University of Venda, P. Bag X5050, Thohoyandou 0950, South Africa
This study presents an efficient method using the local radial basis function finite difference scheme (RBF-FD). The innovative coefficients are derived from the integrals of the multiquadric (MQ) function. Theoretical convergence rates for the coefficients used in function derivative approximation are provided. The proposed scheme utilizes RBF-FD estimations on three-point non-uniform stencils to construct the final approximation on a tensor grid for the 3D Heston–Hull–White (HHW) PDE, which is relevant in economics and mathematical finance. Numerical evidence and comparative analyses validate the results and the proposed scheme.
