中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
High-Frequency Positive Feedback Trading and Market Quality: Evidence from China's Stock Market

文献类型:期刊论文

作者Wan, Die1; Yang, Xiaoguang2
刊名INTERNATIONAL REVIEW OF FINANCE
出版日期2017-12-01
卷号17期号:4页码:493-523
ISSN号1369-412X
DOI10.1111/irfi.12116
英文摘要This paper managed to measure the positive feedback trading intensity and its asymmetry with high-frequency transaction data of China's individual stocks. The intraday positive feedback trading is found to be heterogeneous, and buying-winners effect is significantly stronger than selling-losers effect. In general, the high-frequency asymmetric positive feedback trading's impact on market quality is mixed: The intraday positive feedback trades contribute to a liquid and active-trading market but at the same time slow down the price discovery process and reduce the price efficiency.
资助项目National Natural Science Funds[71431008] ; National Natural Science Funds[71532013] ; National Natural Science Funds[71501170] ; Zhejiang Provincial National Science Funds[LQ16G010001] ; Zhejiang Provincial Key Research Base for Humanities and Social Science Research (Applied Economics in Zhejiang Gongshang University)
WOS研究方向Business & Economics
语种英语
WOS记录号WOS:000417111500001
出版者WILEY
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/29190]  
专题系统科学研究所
通讯作者Yang, Xiaoguang
作者单位1.Zhejiang Gongshang Univ, Sch Finance, Hangzhou, Zhejiang, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wan, Die,Yang, Xiaoguang. High-Frequency Positive Feedback Trading and Market Quality: Evidence from China's Stock Market[J]. INTERNATIONAL REVIEW OF FINANCE,2017,17(4):493-523.
APA Wan, Die,&Yang, Xiaoguang.(2017).High-Frequency Positive Feedback Trading and Market Quality: Evidence from China's Stock Market.INTERNATIONAL REVIEW OF FINANCE,17(4),493-523.
MLA Wan, Die,et al."High-Frequency Positive Feedback Trading and Market Quality: Evidence from China's Stock Market".INTERNATIONAL REVIEW OF FINANCE 17.4(2017):493-523.

入库方式: OAI收割

来源:数学与系统科学研究院

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