Government intervention and institutional trading strategy: Evidence from a transition country
Yi Yao,
Rong Yang,
Zhiyuan Liu and
Iftekhar Hasan
Global Finance Journal, 2013, vol. 24, issue 1, 44-68
Abstract:
This study investigates the effectiveness of government intervention in rescuing bearish markets in a transition economy. Focusing on a pre- and a post-intervention period, the findings reveal that government intervention successfully rescued bearish markets in China and led to a fundamental change in institutional trading strategy after the intervention. We observe that following an intervention, institutions are more sensitive to long-term stock market regulations, whereas individual investors are more concerned about the rules related to their short-term interests. Evidence suggests that a credible signal from the government can be helpful in creating a positive outcome in the market (Bhanot & Kadapakkam, 2006). The findings are important to the current debate regarding the role of government intervention in markets in other transitional economies, as well as in developed countries.
Keywords: Government intervention; Institutional trading strategy (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1044028313000045
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Government intervention and institutional trading strategy: Evidence from a transition country (2012) 
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:eee:glofin:v:24:y:2013:i:1:p:44-68
DOI: 10.1016/j.gfj.2013.03.003
Access Statistics for this article
Global Finance Journal is currently edited by Manuchehr Shahrokhi
More articles in Global Finance Journal from Elsevier
Bibliographic data for series maintained by Catherine Liu ().