TITLE:
Numerical Methods for Discrete Double Barrier Option Pricing Based on Merton Jump Diffusion Model
AUTHORS:
Mingjia Li
KEYWORDS:
Discrete Double Barrier Option, Merton Jump Diffusion Model, Discrete Convolution, Monte Carlo Method
JOURNAL NAME:
Open Journal of Statistics,
Vol.7 No.3,
June
12,
2017
ABSTRACT: As a kind of weak-path dependent options, barrier options are an important kind of exotic options. Because the pricing formula for pricing barrier options with discrete observations cannot avoid computing a high dimensional integral, numerical calculation is time-consuming. In the current studies, some scholars just obtained theoretical derivation, or gave some simulation calculations. Others impose underlying assets on some strong assumptions, for example, a lot of calculations are based on the Black-Scholes model. This thesis considers Merton jump diffusion model as the basic model to derive the pricing formula of discrete double barrier option; numerical calculation method is used to approximate the continuous convolution by calculating discrete convolution. Then we compare the results of theoretical calculation with simulation results by Monte Carlo method, to verify their efficiency and accuracy. By comparing the results of degeneration constant parameter model with the results of previous models we verified the calculation method is correct indirectly. Compared with the Monte Carlo simulation method, the numerical results are stable. Even if we assume the simulation results are accurate, the time consumed by the numerical method to achieve the same accuracy is much less than the Monte Carlo simulation method.