Buy this book
![Loading indicator](/images/ajax-loader-bar.gif)
"We examine how investor sentiment affects the cross-section of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by studying how the cross-section of subsequent stock returns varies with proxies for beginning-of-period investor sentiment. When sentiment is low, subsequent returns are relatively high on smaller stocks, high volatility stocks, unprofitable stocks, non-dividend-paying stocks, extreme-growth stocks, and distressed stocks, consistent with an initial underpricing of these stocks. When sentiment is high, on the other hand, these patterns attenuate or fully reverse. The results are consistent with predictions and appear unlikely to reflect an alternative explanation based on compensation for systematic risk"--National Bureau of Economic Research web site.
Buy this book
![Loading indicator](/images/ajax-loader-bar.gif)
Subjects
Attitudes, Prices, Stockholders, StocksEdition | Availability |
---|---|
1
Investor sentiment and the cross-section of stock returns
2004, National Bureau of Economic Research
Electronic resource
in English
|
aaaa
|
Book Details
Edition Notes
Includes bibliographical references.
Title from PDF file as viewed on 1/12/2005.
Also available in print.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.
Classifications
The Physical Object
ID Numbers
Community Reviews (0)
Feedback?History
- Created April 1, 2008
- 5 revisions
Wikipedia citation
×CloseCopy and paste this code into your Wikipedia page. Need help?
December 13, 2020 | Edited by MARC Bot | import existing book |
July 31, 2012 | Edited by VacuumBot | Updated format '[electronic resource] /' to 'Electronic resource' |
December 12, 2009 | Edited by WorkBot | link works |
October 31, 2008 | Edited by ImportBot | add URIs from original MARC record |
April 1, 2008 | Created by an anonymous user | Imported from Scriblio MARC record |