Generalized finite integration method with Volterra Operator for pricing multi-asset barrier option

被引:1
|
作者
Ma, Y. [1 ]
Sam, C. N. [1 ,4 ]
Hon, Jeffrey M. H. [2 ,3 ,4 ]
机构
[1] City Univ Hong Kong, Dept Math, Hong Kong, Peoples R China
[2] Hong Kong Baptist Univ, Dept Math, Hong Kong, Peoples R China
[3] NVIDIA, NVIDIA Technol Ctr NVAITC, Santa Clara, CA USA
[4] OptBeacon Consultancy Ltd, Hong Kong, Peoples R China
关键词
Generalized finite integration method; Volterra operator; Barrier option; Crank-Nicolson; RADIAL-BASIS-FUNCTION; VALUATION;
D O I
10.1016/j.enganabound.2023.06.006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We investigate in this paper the pricing of European-style barrier options under the Black-Scholes model. Based on the recently developed Generalized Finite Integration Method with Volterra operator (GFIM-V), we apply the Crank-Nicolson scheme to treat the time variable in the governing Black-Scholes equation for pricing multi -asset barrier options. For verification on the accuracy and efficiency of the proposed approach, we construct several numerical experiments for the solutions of multi-asset barrier option prices with various time step sizes and number of spatial nodal points. Comparisons with available exact solution and existing spectral convergent method indicate the advantages of the GFIM-V method in superior accuracy and unconditional stability.
引用
收藏
页码:850 / 860
页数:11
相关论文
共 42 条
  • [1] Multi-asset spread option pricing and hedging
    Li, Minqiang
    Zhou, Jieyun
    Deng, Shi-Jie
    QUANTITATIVE FINANCE, 2010, 10 (03) : 305 - 324
  • [2] Generalized Finite Integration Method with Volterra operator for multi-dimensional biharmonic equations
    Lei, M.
    Sam, C. N.
    Hon, Y. C.
    ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2020, 111 : 22 - 31
  • [3] A computationally efficient numerical approach for multi-asset option pricing
    Khodayari, L.
    Ranjbar, M.
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2019, 96 (06) : 1158 - 1168
  • [4] An efficient finite element method for pricing American multi-asset put options
    Zhang, Ran
    Zhang, Qi
    Song, Haiming
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2015, 29 (1-3) : 25 - 36
  • [5] An ETD method for multi-asset American option pricing under jump-diffusion model
    Company, Rafael
    Egorova, Vera N.
    Jodar, Lucas
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2023, 46 (09) : 10332 - 10347
  • [6] A Monte Carlo multi-asset option pricing approximation for general stochastic processes
    Arismendi, Juan
    De Genaro, Alan
    CHAOS SOLITONS & FRACTALS, 2016, 88 : 75 - 99
  • [7] Radial basis function partition of unity operator splitting method for pricing multi-asset American options
    Shcherbakov, Victor
    BIT NUMERICAL MATHEMATICS, 2016, 56 (04) : 1401 - 1423
  • [8] Radial basis function partition of unity operator splitting method for pricing multi-asset American options
    Victor Shcherbakov
    BIT Numerical Mathematics, 2016, 56 : 1401 - 1423
  • [9] Three-Layer Artificial Neural Network for Pricing Multi-Asset European Option
    Zhou, Zhiqiang
    Wu, Hongying
    Li, Yuezhang
    Kang, Caijuan
    Wu, You
    MATHEMATICS, 2024, 12 (17)
  • [10] Covariance dependent kernels, a Q-affine GARCH for multi-asset option pricing
    Escobar-Anel, Marcos
    Rastegari, Javad
    Stentoft, Lars
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2023, 87