A Robust Numerical Scheme For Pricing American Options Under Regime Switching Based On Penalty Method

被引:0
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作者
K. Zhang
K. L. Teo
M. Swartz
机构
[1] Shenzhen University,Business School
[2] The Curtin University of Technology,Department of Mathematics and Statistics
[3] University of Southern California,Marshall School of Business
来源
Computational Economics | 2014年 / 43卷
关键词
American option pricing; Regime switching; Penalty method; Finite volume method;
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摘要
This paper is devoted to develop a robust numerical method to solve a system of complementarity problems arising from pricing American options under regime switching. Based on a penalty method, the system of complementarity problems are approximated by a set of coupled nonlinear partial differential equations (PDEs). We then introduce a fitted finite volume method for the spatial discretization along with a fully implicit time stepping scheme for the PDEs, which results in a system of nonlinear algebraic equations. We show that this scheme is consistent, stable and monotone, hence convergent. To solve the system of nonlinear equations effectively, an iterative solution method is established. The convergence of the solution method is shown. Numerical tests are performed to examine the convergence rate and verify the effectiveness and robustness of the new numerical scheme.
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页码:463 / 483
页数:20
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