Option Pricing for a Jump-Diffusion Model with General Discrete Jump-Size Distributions
成果类型:
Article
署名作者:
Fu, Michael C.; Li, Bingqing; Li, Guozhen; Wu, Rongwen
署名单位:
University System of Maryland; University of Maryland College Park; University System of Maryland; University of Maryland College Park; Nankai University; Capital One Financial Corporation
刊物名称:
MANAGEMENT SCIENCE
ISSN/ISSBN:
0025-1909
DOI:
10.1287/mnsc.2016.2522
发表日期:
2017
页码:
3961-3977
关键词:
jump-diffusion process
option pricing
European option
generating function
lattice path
摘要:
We obtain a closed-form solution for pricing European options under a general jump-diffusion model that can incorporate arbitrary discrete jump-size distributions, including nonparametric distributions such as an empirical distribution. The flexibility in the jump-size distribution allows the model to better capture leptokurtic features found in real-world data. The model uses a discrete-time framework and leads to a pricing formula that is provably convergent to the continuous-time price as the discretization is increased. The solution is easy to implement with fast convergence properties. Numerical results illustrate the efficiency and accuracy of the proposed model and highlight its robustness and flexibility.