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深证成指周收益率波动性的实证研究
引用本文:苏理云,孔彤,谢挺.深证成指周收益率波动性的实证研究[J].数学理论与应用,2010(4):97-102.
作者姓名:苏理云  孔彤  谢挺
作者单位:重庆理工大学数学与统计学院,重庆400054
摘    要:利用GARCH模型,对深圳成分指数的周收益率波动性进行了实证研究。以深证成指周收盘数据建立了GARCH模型,利用估计出的GARCH模型得到深证成指周收益率序列的条件方差的估计值,预测出深证成指周收益率序列未来若干期的条件方差。结果表明,深证成指周收益率序列的波动性可以用GARCH模型进行很好的拟合。

关 键 词:GARCH模型  条件方差  波动性

Empirical Study on the Weekly Return Volatility of Shenzhen Stock Index
Su Liyun Kong Tong Xie Ting.Empirical Study on the Weekly Return Volatility of Shenzhen Stock Index[J].Mathematical Theory and Applications,2010(4):97-102.
Authors:Su Liyun Kong Tong Xie Ting
Institution:Su Liyun Kong Tong Xie Ting(School of Mathematics and Statistics,Chongqing University of Technology,Chongqing,400054)
Abstract:The volatility of Shenzhen Component Index on the weekly yield is investigated using GARCH model.The paper establishes a GARCH model based on the weekly closing quotation data of Shenzhen Stock Index,calculates the conditional variance of Shenzhen Stock Index weekly return series,and predicts the next several weekly conditional variance.The results show that the GARCH model can be a good fit to the weekly return series of Shenzhen Stock Index.
Keywords:GARCH model Conditional variance Volatility
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