Convergence analysis of power penalty method for American bond option pricing

被引:0
|
作者
K. Zhang
K. L. Teo
机构
[1] Shenzhen University,Business School
[2] The Curtin University of Technology,Department of Mathematics and Statistics
来源
Journal of Global Optimization | 2013年 / 56卷
关键词
Complementarity problem; Variational inequalities; Option pricing; Penalty method;
D O I
暂无
中图分类号
学科分类号
摘要
This paper is concerned with the convergence analysis of power penalty method to pricing American options on discount bond, where the single factor Cox–Ingrosll–Ross model is adopted for the short interest rate. The valuation of American bond option is usually formulated as a partial differential complementarity problem. We first develop a power penalty method to solve this partial differential complementarity problem, which produces a nonlinear degenerated parabolic PDE. Within the framework of variational inequalities, the solvability and convergence properties of this penalty approach are explored in a proper infinite dimensional space. Moreover, a sharp rate of convergence of the power penalty method is obtained. Finally, we show that the power penalty approach is monotonically convergent with the penalty parameter.
引用
收藏
页码:1313 / 1323
页数:10
相关论文
共 50 条
  • [1] Convergence analysis of power penalty method for American bond option pricing
    Zhang, K.
    Teo, K. L.
    JOURNAL OF GLOBAL OPTIMIZATION, 2013, 56 (04) : 1313 - 1323
  • [2] Convergence analysis of a monotonic penalty method for American option pricing
    Zhang, Kai
    Yang, Xiaoqi
    Teo, Kok Lay
    JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2008, 348 (02) : 915 - 926
  • [3] CONVERGENCE PROPERTY OF AN INTERIOR PENALTY APPROACH TO PRICING AMERICAN OPTION
    Zhang, Kai
    Wang, Song
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2011, 7 (02) : 435 - 447
  • [4] Applying a Power Penalty Method to Numerically Pricing American Bond Options
    Zhang, K.
    JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2012, 154 (01) : 278 - 291
  • [5] Applying a Power Penalty Method to Numerically Pricing American Bond Options
    K. Zhang
    Journal of Optimization Theory and Applications, 2012, 154 : 278 - 291
  • [6] Numerical performance of penalty method for American option pricing
    Zhang, K.
    Yang, X. Q.
    Wang, S.
    Teo, K. L.
    OPTIMIZATION METHODS & SOFTWARE, 2010, 25 (05): : 737 - 752
  • [7] Pricing American bond options using a penalty method
    Zhang, Kai
    Wang, Song
    AUTOMATICA, 2012, 48 (03) : 472 - 479
  • [8] AMERICAN OPTION PRICING WITH REGRESSION: CONVERGENCE ANALYSIS
    Liu, Chen
    Schellhorn, Henry
    Peng, Qidi
    INTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED FINANCE, 2019, 22 (08)
  • [9] A POWER PENALTY APPROACH TO AMERICAN OPTION PRICING WITH JUMP DIFFUSION PROCESSES
    Zhang, Kai
    Yang, Xiaoqi
    Teo, Kok Lay
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2008, 4 (04) : 783 - 799
  • [10] Penalty method for indifference pricing of American option in a liquidity switching market
    Gyulov, Tihomir B.
    Koleva, Miglena N.
    Applied Numerical Mathematics, 2022, 172 : 525 - 545