Abstract
Richardson extrapolation is a commonly used technique in financial applications for accelerating the convergence of numerical methods. In this paper an unconditionally stable high-order compact finite difference scheme is proposed for solving the Black-Scholes equation, and the convergence rate is second-order in time and fourth-order in space. Then a Richardson extrapolation algorithm develops to make the final computed solution sixth-order accurate both in time and space when the time step equals the spatial mesh size. Numerical experiments show the effectiveness of the method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Balsara DS (1995) Von Neumann stability analysis of smoothed particle hydrodynamics-suggestions for optimal algorithms. J Comput Phys 21(2):357–372
Black F, Sholes M (1973) The pricing of options and corporate liabilities. J Polit Econ 81(3):637–659
Boyle P, Lau SH (1994) Bumping up against the barrier with the binomial method. J Deriv 1(4):6–14
During B, Fournie M, Jungel A (2003) High-order compact finite difference schemes for a nonlinear Black-Scholes equation. Int J Theor Appl Financ 6:767–789
Gustaffon B (1975) The convergence rate for difference approximation to mixed initial boundary value problems. Math Comput 29(130):396–406
Han H, Wu XN (2003) A fast numerical method for the Black-Scholes equation of American options. SIAM J Numer Analy 41(6):2081–2095
Hua Huang (2011) A high-order implicit difference method for the one-dimensional convection diffusion equation. J Math Res 3(3):135–139
Hundsdorfer W, Verwer J (2003) Numerical solution of time-dependent advection–diffusion-reaction equations. Springer, Berlin
Liao W, Khaliq AQM (2009) High-order compact scheme for solving nonlinear Black-Scholes equation with transaction cost. Int J Comput Math 86(6):1009–1023
Lifeng Xi, Zhongdi Cen, Jingfeng Chen (2008) A second-order finite difference scheme for a type of Black-Scholes equation. Int J Nonlinear Sci 6(3):238–245
Merton RC (1973) Theory of rational option pricing. Bell J Econ Manag Sci 4(1):141–183
Shahbandarzadeh H, Salimifard K, Moghdani R (2013) Application of Monte Carlo simulation in the assessment of European Call Options. Iran J Manag Stud (IJMS) 6(1):9–27
Tavella D, Randall C (2000) Pricing financial instruments: the finite difference method. Wiley, New York
You D (2006) A high-order Padé ADI method for unsteady convection-diffusion equations. J Comput Phys 214:1–11
Zhi Zhong Sun (2001) An unconditionally stable and O(τ 2 + h 4) order L∞ convergent difference scheme for linear parabolic equations with variable coefficients. Numer Method Partial Diff Eq 17(6):619–631
Acknowledgment
This work is supported by the Fund for Less Developed Regions of the National Natural Science Foundation of China (No. 10961002); the Project Supported by State Ethnic Affairs Commission (No. 12BFZ019); Zizhu Science Foundation of Beifang University of Nationalities (No. 2011ZQY026).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yang, Lf., Hu, Xl. (2013). A New High-Order Compact Finite Difference Scheme for Solving Black-Scholes Equation. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40063-6_99
Download citation
DOI: https://doi.org/10.1007/978-3-642-40063-6_99
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40062-9
Online ISBN: 978-3-642-40063-6
eBook Packages: Business and EconomicsBusiness and Management (R0)