What Explains Herd Behavior in the Chinese Stock Market?
Terence Tai Leung Chong,
Xiaojin Liu and
Chenqi Zhu
Journal of Behavioral Finance, 2017, vol. 18, issue 4, 448-456
Abstract:
This article examines the causes of herd behavior in the Chinese stock market. Using the nonlinear model of Chang, Cheng, and Khorana [2000], the authors of this article find robust evidence of herding in both the up and down markets. They contribute to the existing literature by exploring the underlying reasons for herding in China. It is shown that analyst recommendation, short-term investor horizon, and risk are the principal causes of herding. However, the authors cannot find evidence that relates herding to firm size, nor can they detect significant differences in herding between state-owned enterprises and non–state-owned enterprises.
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://hdl.handle.net/10.1080/15427560.2017.1365365 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: What Explains Herd Behavior in the Chinese Stock Market? (2016) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:hbhfxx:v:18:y:2017:i:4:p:448-456
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/hbhf20
DOI: 10.1080/15427560.2017.1365365
Access Statistics for this article
Journal of Behavioral Finance is currently edited by Brian Bruce
More articles in Journal of Behavioral Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().