首页 | 本学科首页   官方微博 | 高级检索  
     

基于非参数模型的沪深300股指波动性研究
引用本文:杨二鹏,张德生,李文静,邵慧.基于非参数模型的沪深300股指波动性研究[J].纺织高校基础科学学报,2010,23(1):42-45.
作者姓名:杨二鹏  张德生  李文静  邵慧
作者单位:西安理工大学理学院,陕西,西安710054
摘    要:研究非参数模型对沪深300指数的波动性拟合预测效果.对所研究对象建立非参数模型,选取局部线性估计法与多项式样条估计法进行模型估计,结果显示,两估计方法预测效果都较好,通过结果对比,基于多项式样条估计的非参数模型能够较好的应用到股票市场的波动性研究中且效果显著.

关 键 词:非参数自回归模型  多项式样条估计  局部线性估计  预测  沪深300指数

Empirical volatility property study of Shanghai and Shenzhen 300 stock index based on nonparametric model
YANG Er-peng,ZHANG De-sheng,LI Wen-jing,SHAO Hui.Empirical volatility property study of Shanghai and Shenzhen 300 stock index based on nonparametric model[J].Basic Sciences Journal of Textile Universities,2010,23(1):42-45.
Authors:YANG Er-peng  ZHANG De-sheng  LI Wen-jing  SHAO Hui
Affiliation:(School of Science, Xi'an University of Technology, Xi'an 710054, China)
Abstract:The nonparametric model and estimated methods were given for researching forecased effect of the Shanghai and Shenzhen 300 stock index volatility, the model was established, which was estimated by polynomial spline estimation and local linear estimation. The forecasted effect of two estimation methods is preferably, the results shown that the estimated based on polynomial splines of non-parametric model is remarkably by comparatively.
Keywords:non-parametric autoregression model  non-parametric estimation  polynomial spline estimates  forecasting  the Shanghai and Shenzhen 300 stock index
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号