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基于高频数据的波动率与成交量动态关系研究
引用本文:唐勇.基于高频数据的波动率与成交量动态关系研究[J].成都理工大学学报(社会科学版),2011(3):8-16.
作者姓名:唐勇
作者单位:福州大学管理学院;
基金项目:国家自然科学基金项目(70901048); 教育部人文社会科学青年基金项目(07JC790046)
摘    要:传统的价量分析都是从低频数据来分析股票市场上波动率、收益率与成交量之间的关系。基于高频数据,利用分位数回归并结合高频数据的波动率估计方法对高频数据中所呈现出的价量关系进行研究,并分析了股票价格跳跃过程所带来的跳跃方差与成交量之间的关系。实证分析表明:指数及个股收益率与成交量之间的关系并不显著;波动率、跳跃与成交量之间存在着显著相关的关系,个股的波动率与成交量之间的关系显著并呈现出正向相关关系,而指数的波动率与成交量之间呈现出一种负向关系,并且关系比较微弱;个股的成交量的改变会导致股票价格的跳跃方差的减小,而指数的成交量的改变则使得指数的跳跃方差增大。

关 键 词:高频数据  波动率  成交量  分位数回归  跳跃

Research on Dynamic Relationship between Volatility and Trading Volume Based on High-frequency Data
TANG Yong.Research on Dynamic Relationship between Volatility and Trading Volume Based on High-frequency Data[J].Journal of Chengdu University of Technology:Social Sciences,2011(3):8-16.
Authors:TANG Yong
Institution:TANG Yong(Fuzhou University Management College,Fuzhou 350002,China)
Abstract:The traditional methods to measure the relationships among return,volatility and trading volume are base on the low-frequency data.Basing on the high-frequency data,this paper uses the quantile regression to measure the relationship between price and trading volume by combining the methods to measure the volatility of high-frequency data.The result of demonstration shows that the relationship between return and trading volume is weak,no matter it is an index or an individual stock.However,the relationship b...
Keywords:high-frequency data  volatility  trading volume  quantile regression  jump  
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