Abstract
In the financial market, the change in price of underlying stock following fractal transmission system is modeled by time-fractional Black-Scholes partial differential equations (PDEs). In this paper, we propose a numerical scheme on uniform mesh for solving time-fractional Black-Scholes PDEs governing European options. The fractional time derivative defined in the Caputo sense is discretized by using the classical L1-scheme and the spatial derivatives are discretized by the cubic spline method. The stability and convergence of the proposed method are analyzed and shown to be second order accurate in space with \((2-\alpha )\) order accuracy in time. Two numerical examples with exact solutions are presented to verify the efficiency and accuracy of the method validating the theoretical results. Finally, three different types of European options governed by time-fractional Black-Scholes PDE are priced using our proposed method as an application. Further, the impact of the order of time-fractional derivative on the option price is shown.
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Acknowledgements
The authors wish to acknowledge the referees for their valuable comments and suggestions, which helped to improve the presentation.
Further, the first author would like to thank the Department of Science and Technology (DST) for providing the financial assistance under the scheme of INSPIRE Fellowship (IF190836), New Delhi, India.
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Under the scheme of INSPIRE Fellowship (IF190836) by Department of Science and Technology (DST), India.
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JK implemented the method and obtained the theoretical estimates, and prepared the first version of the paper
SN proposed the numerical scheme and re-edited the manuscript.
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Kaur, J., Natesan, S. A novel numerical scheme for time-fractional Black-Scholes PDE governing European options in mathematical finance. Numer Algor 94, 1519–1549 (2023). https://doi.org/10.1007/s11075-023-01545-6
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DOI: https://doi.org/10.1007/s11075-023-01545-6
Keywords
- Time-fractional Black-Scholes PDE
- Cubic spline method
- \( L 1\)-scheme
- European options
- Stability
- Convergence