股票日内交易数据特征和波幅的分析

被引:15
作者
刘勤
顾岚
机构
[1] 中国科学院金融避险对策研究组
[2] 中国人民大学统计系
关键词
日内交易数据; 日内波幅; 金融市场微结构;
D O I
10.19343/j.cnki.11-1302/c.2001.04.007
中图分类号
F830.91 [证券市场];
学科分类号
摘要
The intraday periodicity in the returns volatility in China stock markets is shown to have a strong impact on the dynaminc properties of high frequency returns, the periodic modelling procedure developed in this paper provides a framework and gives some extended volatility models with market microstructure features for us to comprehend the high frequency volatility clustering phenomena.We find some interesting results such as W\|shaped trading process partern in a trading day,and information effects are also empirically relevant,we offer some explanations.
引用
收藏
页码:36 / 42
页数:7
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