Can Rare Events Explain the Equity Premium Puzzle?
AbstractProbably not. First, allowing the probabilities of the states of the economy to differ from their sample frequencies, the consumption-CAPM is still rejected in both U.S. and international data. Second, the recorded world disasters are too small to rationalize the puzzle, unless one assumes that disasters occur every 6--10 years. Third, if the data were generated by the rare events distribution needed to rationalize the equity premium puzzle, the puzzle itself would be unlikely to arise. Fourth, the rare events hypothesis, by reducing the cross-sectional dispersion of consumption risk, worsens the ability of the consumption-CAPM to explain the cross-section of returns. The Author 2012. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: firstname.lastname@example.org., Oxford University Press.
Download InfoIf 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.
Bibliographic InfoArticle provided by Society for Financial Studies in its journal The Review of Financial Studies.
Volume (Year): 25 (2012)
Issue (Month): 10 ()
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:
- Anisha Ghosh & Christian Julliard, 2008. "Can Rare Events Explain the Equity Premium Puzzle?," FMG Discussion Papers dp610, Financial Markets Group.
- Ghosh, Anisha & Julliard, Christian, 2012. "Can Rare Events Explain the Equity Premium Puzzle?," CEPR Discussion Papers 8899, C.E.P.R. Discussion Papers.
- Anisha Ghosh & Christian Julliard, 2008. "Can Rare Events Explain the Equity Premium Puzzle?," 2008 Meeting Papers 1090, Society for Economic Dynamics.
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
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.