Pre-open call auction and price discovery: Evidence from India
Rajesh Acharya and
Vishal Gaikwad
Cogent Economics & Finance, 2014, vol. 2, issue 1, 1-11
Abstract:
Premier stock exchanges in India, viz. National Stock Exchange of India and Bombay Stock Exchange, introduced call auction in the pre-open session from 18 October 2010. This paper analyzes the impact of introduction of pre-open call auction on price discovery at the open. Empirical analysis is based on the familiar market model in an event study framework. The result shows a decline in the market model R -super-2 for both opening and closing returns of stocks forming the part of call auction and also control sample. However, the magnitude of decline is less in the opening prices for the call auction stocks compared with control sample. Furthermore, analysis carried out using the second pass β and R -super-2 regressions shows that the introduction of pre-open call auction does not have any significant impact on market quality. The findings of the study have implications for the future policy-making on the call auction framework.
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/23322039.2014.944668 (text/html)
Access to full text is restricted to subscribers.
Related works:
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:oaefxx:doi:10.1080/23322039.2014.944668
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/OAEF20
DOI: 10.1080/23322039.2014.944668
Access Statistics for this article
Cogent Economics & Finance is currently edited by Steve Cook, Caroline Elliott, David McMillan, Duncan Watson and Xibin Zhang
More articles in Cogent Economics & Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().