Learning to be Overconfident
AbstractWe develop a multiperiod market model describing both the process by which traders learn about their ability and how a bias in this learning can create overconfident traders. A trader in our model initially does not know his own ability. He infers this ability from his successes and failures. In assessing his ability the trader takes too much credit for his successes. This leads him to become overconfident. A trader's expected level of overconfidence increases in the early stages of his career. Then, with more experience, he comes to better recognize his own ability. The patterns in trading volume, expected profits, price volatility, and expected prices resulting from this endogenous overconfidence are analyzed. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.
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 Review of Financial Studies.
Volume (Year): 14 (2001)
Issue (Month): 1 ()
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:
- Simon Gervais & Terrance Odean, . "Learning To Be Overconfident," Rodney L. White Center for Financial Research Working Papers 05-97, Wharton School Rodney L. White Center for Financial Research.
- Simon Gervais & Terrance Odean, . "Learning To Be Overconfident," Rodney L. White Center for Financial Research Working Papers 5-97, Wharton School Rodney L. White Center for Financial Research.
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 statisticsgeneral information about how to correct material in RePEc.
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.