Abstract
We present an accurate and efficient finite difference method for solving the Black–Scholes (BS) equation without boundary conditions. The BS equation is a backward parabolic partial differential equation for financial option pricing and hedging. When we solve the BS equation numerically, we typically need an artificial far-field boundary condition such as the Dirichlet, Neumann, linearity, or partial differential equation boundary condition. However, in this paper, we propose an explicit finite difference scheme which does not use a far-field boundary condition to solve the BS equation numerically. The main idea of the proposed method is that we reduce one or two computational grid points and only compute the updated numerical solution on that new grid points at each time step. By using this approach, we do not need a boundary condition. This procedure works because option pricing and computation of the Greeks use the values at a couple of grid points neighboring an interesting spot. To demonstrate the efficiency and accuracy of the new algorithm, we perform the numerical experiments such as pricing and computation of the Greeks of the vanilla call, cash-or-nothing, power, and powered options. The computational results show excellent agreement with analytical solutions.
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Acknowledgements
The authors (D. Jeong and J.S. Kim) thank the Korea Institute for Advanced Study (KIAS) for supporting research on the financial pricing model using artificial intelligence. The corresponding author (J.S. Kim) was supported by a subproject of project Research for Applications of Mathematical Principles (No. C21501) and supported by the National Institute of Mathematics Sciences (NIMS). The authors are grateful to the anonymous referees whose valuable suggestions and comments significantly improved the quality of this paper.
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Jeong, D., Yoo, M. & Kim, J. Finite Difference Method for the Black–Scholes Equation Without Boundary Conditions. Comput Econ 51, 961–972 (2018). https://doi.org/10.1007/s10614-017-9653-0
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DOI: https://doi.org/10.1007/s10614-017-9653-0