We examine the importance of asset pricing anomalies (alphas) for the real economy. We develop a novel quantitative model with lumpy investment that features such informational inefficiencies and yields closed-form solutions for cross-sectional distributions of firm dynamics. Our findings indicate that anomalies can cause material real inefficiencies, raising the possibility that agents that help eliminate them can provide significant value added to the economy. The framework reveals that alphas alone are poor indicators of real distortions, and that efficiency losses depend on the persistence of alphas, the amount of mispriced capital, and the Tobin's q of firms affected.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
|Date of creation:||Mar 2017|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
Web page: http://www.nber.org
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Christopher A. Hennessy & Toni M. Whited, 2007. "How Costly Is External Financing? Evidence from a Structural Estimation," Journal of Finance, American Finance Association, vol. 62(4), pages 1705-1745, August.
- Bernard, Victor L. & Thomas, Jacob K., 1990. "Evidence that stock prices do not fully reflect the implications of current earnings for future earnings," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 305-340, December.
- Joel M. David & Hugo A. Hopenhayn & Venky Venkateswaran, 2016.
"Information, Misallocation, and Aggregate Productivity,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 131(2), pages 943-1005.
- Joel M. David & Hugo A. Hopenhayn & Venky Venkateswaran, 2014. "Information, Misallocation and Aggregate Productivity," NBER Working Papers 20340, National Bureau of Economic Research, Inc.
- Venky Venkateswaran & Hugo A. Hopenhayn & Joel David, 2014. "Information, Misallocation and Aggregate Productivity," 2014 Meeting Papers 526, Society for Economic Dynamics.
- Peters, Ryan H. & Taylor, Lucian A., 2017. "Intangible capital and the investment-q relation," Journal of Financial Economics, Elsevier, vol. 123(2), pages 251-272.
- Michael J. Cooper & Huseyin Gulen & Michael J. Schill, 2008. "Asset Growth and the Cross-Section of Stock Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1609-1651, August.
- R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
- repec:bla:joares:v:6:y:1968:i:2:p:159-178 is not listed on IDEAS Full references (including those not matched with items on IDEAS)