首页 | 本学科首页   官方微博 | 高级检索  
     

深证成指日收益率波动的实证研究
引用本文:时晶晶,李汉东. 深证成指日收益率波动的实证研究[J]. 北京师范大学学报(自然科学版), 2006, 42(6): 646-648
作者姓名:时晶晶  李汉东
作者单位:北京师范大学管理学院系统科学系,100875,北京;北京师范大学管理学院系统科学系,100875,北京
摘    要:应用GARCH模型对深证成指日收益率从1991年4月3日到2006年3月12日共3 695个数据进行了拟合,结果表明GARCH模型能够很好地拟合日收益率时间序列,拟合后残差序列的均值、标准差、偏度、峰度、J-B统计量等都有明显改善,同时也发现波动具有明显的持续效应.

关 键 词:深证成指  波动性  GARCH模型  持续性
收稿时间:2006-06-30
修稿时间:2006-06-30

THE EMPIRICAL RESEARCH ON THE VOLATILITY OF THE DAILY BENEFIT OF INGREDIENT INDEXES OF SHENZHEN STOCK MARKET
Shi Jingjing,Li Handong. THE EMPIRICAL RESEARCH ON THE VOLATILITY OF THE DAILY BENEFIT OF INGREDIENT INDEXES OF SHENZHEN STOCK MARKET[J]. Journal of Beijing Normal University(Natural Science), 2006, 42(6): 646-648
Authors:Shi Jingjing  Li Handong
Affiliation:Department of System Science, College of Management, Beijing Normal University, 100875, Beijing, China
Abstract:The GARCH models are adopted to forecast the variance of the daily benefit of ingredient indexes of Shenzhen stock market from April 3rd.1991 to March 12th.2006.The results obtained show that the GARCH model is a better model for time series of the daily benefit.The standard deviation,skewness,kurtosis and Jarque-Bera etc.of the residuals are improved a lot.The results also show that the persistence in volatility is evident.
Keywords:ingredient indexes of Shenzhen stock market  volatility  GARCH model  persistence
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