Dynamic Volume-Return Relation of Individual Stocks
AbstractWe examine the dynamic relation between return and volume of individual stocks. Using a simple model in which investors trade to share risk or speculate on private information, we show that returns generated by risk-sharing trades tend to reverse themselves, while returns generated by speculative trades tend to continue themselves. We test this theoretical prediction by analyzing the relation between daily volume and first-order return autocorrelation for individual stocks listed on the NYSE and AMEX. We find that the cross-sectional variation in the relation between volume and return autocorrelation is related to the extent of informed trading in a manner consistent with the theoretical prediction. Copyright 2002, Oxford University Press.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoArticle provided by Society for Financial Studies in its journal The Review of Financial Studies.
Volume (Year): 15 (2002)
Issue (Month): 4 ()
Contact details of provider:
Postal: Oxford University Press, Journals Department, 2001 Evans Road, Cary, NC 27513 USA.
Web page: http://www.rfs.oupjournals.org/
More information through EDIRC
Other versions of this item:
- Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2001. "Dynamic Volume-Return Relation of Individual Stocks," NBER Working Papers 8312, National Bureau of Economic Research, Inc.
- G1 - Financial Economics - - General Financial Markets
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statistics
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.