Fractional Order Stochastic Differential Equation with Application in European Option Pricing

被引:32
作者
Li, Qing [1 ]
Zhou, Yanli [2 ,3 ]
Zhao, Xinquan [1 ]
Ge, Xiangyu [1 ]
机构
[1] Zhongnan Univ Econ & Law, Sch Math & Stat, Wuhan 430073, Peoples R China
[2] Zhongnan Univ Econ & Law, Sch Finance, Wuhan 430073, Peoples R China
[3] Curtin Univ, Dept Math & Stat, Perth, WA 6845, Australia
关键词
FINANCIAL TIME-SERIES; BLACK-SCHOLES MODEL; EMERGING MARKETS; BROWNIAN-MOTION; HURST EXPONENT; STOCK-MARKET; VERSION; MEMORY;
D O I
10.1155/2014/621895
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Memory effect is an important phenomenon in financial systems, and a number of research works have been carried out to study the long memory in the financial markets. In recent years, fractional order ordinary differential equation is used as an effective instrument for describing the memory effect in complex systems. In this paper, we establish a fractional order stochastic differential equation (FSDE) model to describe the effect of trend memory in financial pricing. We, then, derive a European option pricing formula based on the FSDE model and prove the existence of the trend memory (i.e., the mean value function) in the option pricing formula when the Hurst index is between 0.5 and 1. In addition, we make a comparison analysis between our proposed model, the classic Black-Scholes model, and the stochastic model with fractional Brownian motion. Numerical results suggest that our model leads to more accurate and lower standard deviation in the empirical study.
引用
收藏
页数:12
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