摘要
本文主要介绍ARCH(AutoregressiveConditionalHeteroskedasticity)模型、GARCH模型和E GARCH模型 ,分析这些模型的特点和适用范围 ,并在模型中引入t分布取代正态分布假设 ,最后利用这些模型对上证指数进行了实证分析。
In this paper, several ARCH type models are introduced in detail. In models, student t distributions are used to take place of normal distributions. Finally, GARCH model and EGARCH model are applied to Shanghai Stock Exchange index return data to describe ARCH effects.
出处
《数理统计与管理》
CSSCI
北大核心
2003年第3期10-13,26,共5页
Journal of Applied Statistics and Management
基金
社科基金 (98BJY0 6 4 )