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Stability and Convergence Analysis of a Numerical Method for Solving a $$\zeta$$ ζ -Caputo Time Fractional Black–Scholes Model via European Options

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  • Feten Maddouri

    (Université de la Manouba)

Abstract

In this paper, a new $$\zeta$$ ζ -Caputo Fractional Derivative Black-Scholes Model via European Options (CFBSM) has been studied. Moreover, we have proposed a new Numerical Implicit Scheme (NIS) for solving the CFBSM. Also, we studied the stability and the convergence of the NIS. Finally, some numerical experiments are given to compare and show the efficiency of the NIS to other numerical methods for solving fractional Black-Scholes (BS) model. Moreover, by those experiments, we proved the efficiency and the advantages of the CFBSM versus the classical integer-order derivative BS model via European Options.

Suggested Citation

  • Feten Maddouri, 2025. "Stability and Convergence Analysis of a Numerical Method for Solving a $$\zeta$$ ζ -Caputo Time Fractional Black–Scholes Model via European Options," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3419-3446, June.
  • Handle: RePEc:kap:compec:v:65:y:2025:i:6:d:10.1007_s10614-024-10678-2
    DOI: 10.1007/s10614-024-10678-2
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    References listed on IDEAS

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    1. Haidong Qu & Xuan Liu, 2015. "A Numerical Method for Solving Fractional Differential Equations by Using Neural Network," Advances in Mathematical Physics, Hindawi, vol. 2015, pages 1-12, October.
    2. Cardoso, Lislaine Cristina & Camargo, Rubens Figueiredo & dos Santos, Fernando Luiz Pio & Dos Santos, José Paulo Carvalho, 2021. "Global stability analysis of a fractional differential system in hepatitis B," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    3. Haidong Qu & Xuan Liu, 2015. "A Numerical Method for Solving Fractional Differential Equations by Using Neural Network," Advances in Mathematical Physics, John Wiley & Sons, vol. 2015(1).
    4. Fall, Aliou Niang & Ndiaye, Seydou Nourou & Sene, Ndolane, 2019. "Black–Scholes option pricing equations described by the Caputo generalized fractional derivative," Chaos, Solitons & Fractals, Elsevier, vol. 125(C), pages 108-118.
    5. Arfaoui, Hassen & Ben Makhlouf, Abdellatif, 2022. "Stability of a time fractional advection-diffusion system," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    6. Sene, Ndolane, 2018. "Stokes’ first problem for heated flat plate with Atangana–Baleanu fractional derivative," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 68-75.
    7. 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.
    8. Singh, Jagdev & Kumar, Devendra & Hammouch, Zakia & Atangana, Abdon, 2018. "A fractional epidemiological model for computer viruses pertaining to a new fractional derivative," Applied Mathematics and Computation, Elsevier, vol. 316(C), pages 504-515.
    9. Arfaoui, Hassen & Ben Makhlouf, Abdellatif, 2022. "Stability of a fractional advection–diffusion system with conformable derivative," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    Full references (including those not matched with items on IDEAS)

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