统计研究 ›› 2001, Vol. 18 ›› Issue (4): 36-40.
• 论文 • 上一篇 下一篇
刘勤, 顾岚
出版日期:
发布日期:
LIU Qin, GU Lan
Online:
Published:
Abstract: The intraday periodicity in the returns volatility in China stock markets is shown to have a strong impact on the dynamic properties of high frequency returns, the periodic modeling 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 pattern in a trading day, and information effects are also empirically relevant, we offer some explanations.
刘勤, 顾岚. 股票日内交易数据特征和波幅的分析[J]. 统计研究, 2001, 18(4): 36-40.
LIU Qin, GU Lan. An analysis of the Characteristics and amplitude of the stock exchange data within trading day[J]. , 2001, 18(4): 36-40.
0 / / 推荐
导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks
链接本文: https://tjyj.stats.gov.cn/CN/
https://tjyj.stats.gov.cn/CN/Y2001/V18/I4/36
Cited