IDEAS home Printed from https://ideas.repec.org/a/eee/finsta/v81y2025ics1572308925001068.html

A second-order finite difference method for the Black–Scholes model without far-field boundary conditions

Author

Listed:
  • Wang, Jian
  • Wu, Lin
  • Wu, Xinpei
  • Hwang, Youngjin
  • Nam, Yunjae
  • Kwak, Soobin
  • Lee, Taehui
  • Kim, Junseok

Abstract

We propose an explicit finite difference method for the Black–Scholes (BS) equation that avoids artificial far-field boundary conditions. The method uses an alternating direction explicit (ADE) update on a dynamically shrinking grid, thereby eliminating the need for boundary values at the far end of the domain. It effectively alleviates the stability constraints of the explicit format through the alternating direction advancement. Numerical experiments on European and cash or nothing options confirm second-order convergence and demonstrate a high level of efficiency. For example, repeatedly doubling time resolution from 160 to 1280 reduces pricing error from 7.45×10−1 to 6.56×10−3, with observed convergence rates close to 2. This makes the method suitable for low-latency financial applications such as real-time pricing and risk management.

Suggested Citation

  • Wang, Jian & Wu, Lin & Wu, Xinpei & Hwang, Youngjin & Nam, Yunjae & Kwak, Soobin & Lee, Taehui & Kim, Junseok, 2025. "A second-order finite difference method for the Black–Scholes model without far-field boundary conditions," Journal of Financial Stability, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:finsta:v:81:y:2025:i:c:s1572308925001068
    DOI: 10.1016/j.jfs.2025.101477
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1572308925001068
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jfs.2025.101477?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Jianfu Shen & Frederik Pretorius, 2013. "Binomial option pricing models for real estate development," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 31(5), pages 418-440, August.
    2. Cao, Jie & Goyal, Amit & Ke, Sai & Zhan, Xintong, 2024. "Options Trading and Stock Price Informativeness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 59(4), pages 1516-1540, June.
    3. Sosa-Correa, William O. & Ramos, Antônio M.T. & Vasconcelos, Giovani L., 2018. "Investigation of non-Gaussian effects in the Brazilian option market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 525-539.
    4. Sangkwon Kim & Jisang Lyu & Wonjin Lee & Eunchae Park & Hanbyeol Jang & Chaeyoung Lee & Junseok Kim, 2024. "A Practical Monte Carlo Method for Pricing Equity-Linked Securities with Time-Dependent Volatility and Interest Rate," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 2069-2086, May.
    5. Keming Li, 2021. "The effect of option trading," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-32, December.
    6. Ma, Chaoqun & Ma, Zonggang & Xiao, Shisong, 2019. "A closed-form pricing formula for vulnerable European options under stochastic yield spreads and interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 59-68.
    7. Leif Andersen & Jesper Andreasen, 2000. "Jump-Diffusion Processes: Volatility Smile Fitting and Numerical Methods for Option Pricing," Review of Derivatives Research, Springer, vol. 4(3), pages 231-262, October.
    8. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    9. Somayeh Pourghanbar & Jalil Manafian & Mojtaba Ranjbar & Aynura Aliyeva & Yusif S. Gasimov, 2020. "An Efficient Alternating Direction Explicit Method for Solving a Nonlinear Partial Differential Equation," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, November.
    10. Soleymani, Fazlollah & Akgül, Ali, 2019. "Improved numerical solution of multi-asset option pricing problem: A localized RBF-FD approach," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 298-309.
    11. 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.
    12. Dubey, Ved Prakash & Kumar, Rajnesh & Kumar, Devendra, 2019. "A reliable treatment of residual power series method for time-fractional Black–Scholes European option pricing equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 533(C).
    13. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," LSE Research Online Documents on Economics 119289, London School of Economics and Political Science, LSE Library.
    14. Rendleman, Richard J, Jr & Bartter, Brit J, 1979. "Two-State Option Pricing," Journal of Finance, American Finance Association, vol. 34(5), pages 1093-1110, December.
    15. Rahman Farnoosh & Hamidreza Rezazadeh & Amirhossein Sobhani & M. Hossein Beheshti, 2016. "A Numerical Method for Discrete Single Barrier Option Pricing with Time-Dependent Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 131-145, June.
    16. Feng, Chengxiao & Tan, Jie & Jiang, Zhenyu & Chen, Shuang, 2020. "A generalized European option pricing model with risk management," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    17. Blanco, Iván & Wehrheim, David, 2017. "The bright side of financial derivatives: Options trading and firm innovation," Journal of Financial Economics, Elsevier, vol. 125(1), pages 99-119.
    18. Yisong “Sam” Tian, 1999. "A flexible binomial option pricing model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(7), pages 817-843, October.
    19. Claudio Albanese & Sebastian Jaimungal & Dmitri Rubisov, 2003. "A two-state jump model," Quantitative Finance, Taylor & Francis Journals, vol. 3(2), pages 145-154.
    20. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," Journal of Financial Markets, Elsevier, vol. 65(C).
    21. Jianfu Shen & Frederik Pretorius, 2013. "Binomial option pricing models for real estate development," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 31(5), pages 418-440, August.
    22. Keith Sill, 1997. "The economic benefits and risks of derivative securities," Business Review, Federal Reserve Bank of Philadelphia, issue Jan, pages 15-26.
    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. Chaeyoung Lee & Soobin Kwak & Youngjin Hwang & Junseok Kim, 2023. "Accurate and Efficient Finite Difference Method for the Black–Scholes Model with No Far-Field Boundary Conditions," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1207-1224, March.
    2. Abinzano, Isabel & Corredor, Pilar & Mansilla-Fernández, José Manuel, 2026. "Physical climate risk and banks’ credit risk: Worldwide evidence," The North American Journal of Economics and Finance, Elsevier, vol. 81(C).
    3. Yuan Hu & W. Brent Lindquist & Svetlozar T. Rachev & Frank J. Fabozzi, 2023. "Option pricing using a skew random walk pricing tree," Papers 2303.17014, arXiv.org.
    4. Jenny Jing Wang & Jianfu Shen & Frederik Pretorius, 2023. "Valuing options to renew at future market value: the case of commercial property leases," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-35, December.
    5. Bjork, Tomas, 2009. "Arbitrage Theory in Continuous Time," OUP Catalogue, Oxford University Press, edition 3, number 9780199574742.
    6. Tabesh, Hamid, 1987. "Hedging price risk to soybean producers with futures and options: a case study," ISU General Staff Papers 1987010108000010306, Iowa State University, Department of Economics.
    7. Haoyi Yang & Shikong Luo, 2023. "A dark side to options trading? Evidence from corporate default risk," Review of Quantitative Finance and Accounting, Springer, vol. 60(2), pages 531-564, February.
    8. Borges da Silva, Eduardo & Moreno Cordeiro de Sousa, Alexandre, 2022. "Avaliação econômico-financeira de fintechs no mercado brasileiro: o caso INTER [Economic and financial evaluation of fintech in the Brazilian market: the case of INTER]," MPRA Paper 115509, University Library of Munich, Germany.
    9. Darae Jeong & Minhyun Yoo & Junseok Kim, 2018. "Finite Difference Method for the Black–Scholes Equation Without Boundary Conditions," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 961-972, April.
    10. N. Hilber & N. Reich & C. Schwab & C. Winter, 2009. "Numerical methods for Lévy processes," Finance and Stochastics, Springer, vol. 13(4), pages 471-500, September.
    11. Kozarski, R., 2013. "Pricing and hedging in the VIX derivative market," Other publications TiSEM 221fefe0-241e-4914-b6bd-c, Tilburg University, School of Economics and Management.
    12. Jérôme Detemple, 2014. "Optimal Exercise for Derivative Securities," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 459-487, December.
    13. Tan, Jianguo & Zhang, Xingyu, 2026. "Improved constrained physics-informed neural networks (ICPINNs) to solve PDE and its application to option pricing," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 241(PA), pages 908-924.
    14. Ghaffari, Reza & Venkatesh, Bala, 2015. "Network constrained model for options based reserve procurement by wind generators using binomial tree," Renewable Energy, Elsevier, vol. 80(C), pages 348-358.
    15. Duffie, Darrell, 2003. "Intertemporal asset pricing theory," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 11, pages 639-742, Elsevier.
    16. Sarit Maitra & Vivek Mishra & Goutam Kr. Kundu & Kapil Arora, 2023. "Integration of Fractional Order Black-Scholes Merton with Neural Network," Papers 2310.04464, arXiv.org, revised Oct 2023.
    17. Cincinelli, Peter & Pellini, Elisabetta & Urga, Giovanni, 2024. "Is there an optimal level of leverage? The case of banks and non-bank institutions in Europe," International Review of Financial Analysis, Elsevier, vol. 94(C).
    18. Jean-Pierre Fouque & Ning Ning, 2017. "Uncertain Volatility Models with Stochastic Bounds," Papers 1702.05036, arXiv.org.
    19. Rodrigo, M. & Lo, A., 2025. "Calibrating with a smile: A Mellin transform approach to volatility surface calibration," Econometrics and Statistics, Elsevier, vol. 36(C), pages 73-80.
    20. Darae Jeong & Minhyun Yoo & Changwoo Yoo & Junseok Kim, 2019. "A Hybrid Monte Carlo and Finite Difference Method for Option Pricing," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 111-124, January.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:finsta:v:81:y:2025:i:c:s1572308925001068. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jfstabil .

    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.