IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v64y2024i6d10.1007_s10614-024-10564-x.html
   My bibliography  Save this article

Operator Splitting Method to Solve the Linear Complementarity Problem for Pricing American Option: An Approximation of Error

Author

Listed:
  • Deepak Kumar Yadav

    (Rajiv Gandhi Institute of Petroleum Technology)

  • Akanksha Bhardwaj

    (Siksha ‘O’ Anusandhan (Deemed to be University))

  • Alpesh Kumar

    (Rajiv Gandhi Institute of Petroleum Technology)

Abstract

In this manuscript, we proposed the stability and error analysis for the backward difference operator splitting (BDF-OS) methods to solve the linear complementarity problem (LCP) for pricing the American option under the Black–Scholes framework. The OS schemes have been successfully applied to a variety of Black–Scholes models. It is easy to apply on LCP because the complementarity conditions and the differential equation are segregated and examined separately. We provided an error estimate for these methods and the priori stability estimates for operator splitting strategies based on the BDF1 and BDF2 approaches. We performed numerical experiments and illustrated the order and efficiency of the BDF1 and BDF2 approaches for the test problems to emphasize the convergence behavior of the proposed methods. We have also verified the numerical results with the existing methods in the literature.

Suggested Citation

  • Deepak Kumar Yadav & Akanksha Bhardwaj & Alpesh Kumar, 2024. "Operator Splitting Method to Solve the Linear Complementarity Problem for Pricing American Option: An Approximation of Error," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3353-3379, December.
  • Handle: RePEc:kap:compec:v:64:y:2024:i:6:d:10.1007_s10614-024-10564-x
    DOI: 10.1007/s10614-024-10564-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-024-10564-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10614-024-10564-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. S. Wang & X. Q. Yang & K. L. Teo, 2006. "Power Penalty Method for a Linear Complementarity Problem Arising from American Option Valuation," Journal of Optimization Theory and Applications, Springer, vol. 129(2), pages 227-254, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jose Cruz & Daniel Sevcovic, 2020. "On solutions of a partial integro-differential equation in Bessel potential spaces with applications in option pricing models," Papers 2003.03851, arXiv.org.
    2. 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.
    3. Kaiwen Meng & Xiaoqi Yang, 2015. "First- and Second-Order Necessary Conditions Via Exact Penalty Functions," Journal of Optimization Theory and Applications, Springer, vol. 165(3), pages 720-752, June.
    4. Anna Clevenhaus & Matthias Ehrhardt & Michael Günther & Daniel Ševčovič, 2020. "Pricing American Options with a Non-Constant Penalty Parameter," JRFM, MDPI, vol. 13(6), pages 1-7, June.
    5. Wen Li & Song Wang, 2014. "A numerical method for pricing European options with proportional transaction costs," Journal of Global Optimization, Springer, vol. 60(1), pages 59-78, September.
    6. Boshi Tian & Yaohua Hu & Xiaoqi Yang, 2015. "A box-constrained differentiable penalty method for nonlinear complementarity problems," Journal of Global Optimization, Springer, vol. 62(4), pages 729-747, August.
    7. Gholamreza Farahmand & Taher Lotfi & Malik Zaka Ullah & Stanford Shateyi, 2023. "Finding an Efficient Computational Solution for the Bates Partial Integro-Differential Equation Utilizing the RBF-FD Scheme," Mathematics, MDPI, vol. 11(5), pages 1-13, February.
    8. Attipoe, David Sena & Tambue, Antoine, 2021. "Convergence of the mimetic finite difference and fitted mimetic finite difference method for options pricing," Applied Mathematics and Computation, Elsevier, vol. 401(C).
    9. Zhe Sun & Zhe Liu & Xiaoqi Yang, 2015. "On power penalty methods for linear complementarity problems arising from American option pricing," Journal of Global Optimization, Springer, vol. 63(1), pages 165-180, September.
    10. Lesmana, Donny Citra & Wang, Song, 2015. "Penalty approach to a nonlinear obstacle problem governing American put option valuation under transaction costs," Applied Mathematics and Computation, Elsevier, vol. 251(C), pages 318-330.
    11. W. Li & S. Wang, 2009. "Penalty Approach to the HJB Equation Arising in European Stock Option Pricing with Proportional Transaction Costs," Journal of Optimization Theory and Applications, Springer, vol. 143(2), pages 279-293, November.
    12. Yuan Li & Hai-Shan Han & Dan-Dan Yang, 2014. "A Penalized-Equation-Based Generalized Newton Method for Solving Absolute-Value Linear Complementarity Problems," Journal of Mathematics, Hindawi, vol. 2014, pages 1-10, September.
    13. Rui Ding & Chaoren Ding & Quan Shen, 2023. "The interpolating element-free Galerkin method for the p-Laplace double obstacle mixed complementarity problem," Journal of Global Optimization, Springer, vol. 86(3), pages 781-820, July.
    14. Shuhua Chang & Xinyu Wang, 2015. "Modelling and Computation in the Valuation of Carbon Derivatives with Stochastic Convenience Yields," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-35, May.
    15. Lyu, Jisang & Park, Eunchae & Kim, Sangkwon & Lee, Wonjin & Lee, Chaeyoung & Yoon, Sungha & Park, Jintae & Kim, Junseok, 2021. "Optimal non-uniform finite difference grids for the Black–Scholes equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 182(C), pages 690-704.
    16. Cho, Junhyun & Kim, Yejin & Lee, Sungchul, 2022. "An accurate and stable numerical method for option hedge parameters," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    17. R. S. Burachik & X. Q. Yang & Y. Y. Zhou, 2017. "Existence of Augmented Lagrange Multipliers for Semi-infinite Programming Problems," Journal of Optimization Theory and Applications, Springer, vol. 173(2), pages 471-503, May.
    18. K. Zhang, 2012. "Applying a Power Penalty Method to Numerically Pricing American Bond Options," Journal of Optimization Theory and Applications, Springer, vol. 154(1), pages 278-291, July.
    19. Liu, Tao & Soleymani, Fazlollah & Ullah, Malik Zaka, 2024. "Solving multi-dimensional European option pricing problems by integrals of the inverse quadratic radial basis function on non-uniform meshes," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    20. K. Zhang & K. Teo, 2013. "Convergence analysis of power penalty method for American bond option pricing," Journal of Global Optimization, Springer, vol. 56(4), pages 1313-1323, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:64:y:2024:i:6:d:10.1007_s10614-024-10564-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.