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股票日内交易数据特征和波幅的分析

2001-04-15分类号:F830.91

【作者】刘勤  顾岚
【部门】中国科学院金融避险对策研究组  中国人民大学统计系
【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.
【关键词】日内交易数据  日内波幅  金融市场微结构
【基金】
【所属期刊栏目】统计研究
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