S&P 500 Affiliation and Stock Price Informativeness
Shinhua Liu
Journal of Behavioral Finance, 2020, vol. 21, issue 3, 219-232
Abstract:
When firms are added to a stock index, more information should be discovered, traded on, and incorporated into their stock prices, making them more informative. We test this hypothesis using a large sample of additions to the S&P 500 index. Using two alternative statistical tests, we find that the stocks added experience more random, less predictable return and, thus, appear to be priced more efficiently information-wise. We further find concurrent increases in institutional ownership and investor awareness, which tend to contribute to the higher pricing efficiency, adding to the literature. These findings should be of interest to academics and practitioners.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/15427560.2019.1672073 (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:hbhfxx:v:21:y:2020:i:3:p:219-232
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/hbhf20
DOI: 10.1080/15427560.2019.1672073
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 ().