Managerial Miscalibration
Itzhak Ben-David and
John R. Graham
The Quarterly Journal of Economics, 2013, vol. 128, issue 4, 1547-1584
Abstract:
Using a unique 10-year panel that includes more than 13,300 expected stock market return probability distributions, we find that executives are severely miscalibrated, producing distributions that are too narrow: realized market returns are within the executives' 80% confidence intervals only 36% of the time. We show that executives reduce the lower bound of the forecast confidence interval during times of high market uncertainty; however, ex post miscalibration is worst during periods of high uncertainty. We also find that executives who are miscalibrated about the stock market show similar miscalibration regarding their own firms' prospects. Finally, firms with miscalibrated executives seem to follow more aggressive corporate policies: investing more and using more debt financing. JEL Codes: G31, G32, G34, D03, D22, D84. Copyright 2013, Oxford University Press.
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (218)
Downloads: (external link)
http://hdl.handle.net/10.1093/qje/qjt023 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Managerial Miscalibration (2010) 
Working Paper: Managerial Miscalibration (2010) 
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:oup:qjecon:v:128:y:2013:i:4:p:1547-1584
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
The Quarterly Journal of Economics is currently edited by Robert J. Barro, Lawrence F. Katz, Nathan Nunn, Andrei Shleifer and Stefanie Stantcheva
More articles in The Quarterly Journal of Economics from President and Fellows of Harvard College
Bibliographic data for series maintained by Oxford University Press ().