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An Efficient Localized RBF-FD Method to Simulate the Heston–Hull–White PDE in Finance

Author

Listed:
  • Tao Liu

    (School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066000, China)

  • Malik Zaka Ullah

    (Mathematical Modeling and Applied Computation (MMAC) Research Group, Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Stanford Shateyi

    (Department of Mathematics and Applied Mathematics, School of Mathematical and Natural Sciences, University of Venda, P. Bag X5050, Thohoyandou 0950, South Africa)

  • Chao Liu

    (School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066000, China)

  • Yanxiong Yang

    (Eighth Geological Brigade of Hebei Bureau of Geology and Mineral Resources Exploration, Qinhuangdao 066000, China)

Abstract

The Heston–Hull–White three-dimensional time-dependent partial differential equation (PDE) is one of the important models in mathematical finance, at which not only the volatility is modeled based on a stochastic process but also the rate of interest is assumed to follow a stochastic dynamic. Hence, an efficient method is derived in this paper based on the methodology of the localized radial basis function generated finite difference (RBF-FD) scheme. The proposed solver uses the RBF-FD approximations on graded meshes along all three spatial variables and a high order time-stepping scheme. Stability is also studied in detail to show under what conditions the proposed method is stable. Computational simulations are given to support the theoretical discussions.

Suggested Citation

  • Tao Liu & Malik Zaka Ullah & Stanford Shateyi & Chao Liu & Yanxiong Yang, 2023. "An Efficient Localized RBF-FD Method to Simulate the Heston–Hull–White PDE in Finance," Mathematics, MDPI, vol. 11(4), pages 1-15, February.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:4:p:833-:d:1059906
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    References listed on IDEAS

    as
    1. Malik Zaka Ullah, 2019. "Numerical Solution of Heston-Hull-White Three-Dimensional PDE with a High Order FD Scheme," Mathematics, MDPI, vol. 7(8), pages 1-13, August.
    2. Stein, Elias M & Stein, Jeremy C, 1991. "Stock Price Distributions with Stochastic Volatility: An Analytic Approach," The Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 727-752.
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    7. Milovanović, Slobodan & von Sydow, Lina, 2020. "A high order method for pricing of financial derivatives using Radial Basis Function generated Finite Differences," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 174(C), pages 205-217.
    8. Asghar Rahimi & C.A.Elyas Shivanian & Saeid Abbasbandy & Mubashir Qayyum, 2022. "Analysis of New RBF-FD Weights, Calculated Based on Inverse Quadratic Functions," Journal of Mathematics, Hindawi, vol. 2022, pages 1-7, April.
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    Cited by:

    1. Malik Zaka Ullah & Abdullah Khamis Alzahrani & Hashim Mohammed Alshehri & Stanford Shateyi, 2023. "Investigation of Higher Order Localized Approximations for a Fractional Pricing Model in Finance," Mathematics, MDPI, vol. 11(12), pages 1-12, June.
    2. Tao Liu & Zixiao Zhao & Shiyi Ling & Heyang Chao & Hasan Fattahi Nafchi & Stanford Shateyi, 2024. "Efficient Scheme for the Economic Heston–Hull–White Problem Using Novel RBF-FD Coefficients Derived from Multiquadric Function Integrals," Mathematics, MDPI, vol. 12(14), pages 1-15, July.

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