Abstract

 
 

References (111)



 


 



The Fed and Stock Market Anomalies


Paulo F. Maio


Hanken School of Economics

Pedro Santa-Clara


Nova School of Business and Economics; National Bureau of Economic Research (NBER); Centre for Economic Policy Research (CEPR)

April 15, 2013


Abstract:     
We present a simple three-factor asset pricing model that helps explain several CAPM anomalies --- value premium, long-term reversal in returns, investment anomaly, and momentum. Two of the risk factors are related with the same variable --- the Fed funds rate. We test our model with portfolios sorted on book-to-market ratio, long-term prior returns, firms’ asset growth, investment-to-assets ratio, and momentum. The model explains a large percentage of the dispersion in average returns associated with each anomaly, with cross-sectional R^2 between 66% and 95%. Moreover, the model clearly outperforms the Fama-French three-factor model in pricing the joint four CAPM anomalies.

Number of Pages in PDF File: 66

Keywords: Cross-section of stock returns, Asset pricing, Intertemporal CAPM, Conditional CAPM, Conditioning information, State variables, Linear multifactor models, Predictability of returns, Fama-French factors, Value premium, Momentum, Long-term reversal in returns, Investment anomaly

JEL Classification: E44, G12, G14

working papers series


Download This Paper

Date posted: January 17, 2012 ; Last revised: April 18, 2013

Suggested Citation

Maio, Paulo F. and Santa-Clara, Pedro, The Fed and Stock Market Anomalies (April 15, 2013). Available at SSRN: http://ssrn.com/abstract=1986787 or http://dx.doi.org/10.2139/ssrn.1986787

Contact Information

Paulo F. Maio (Contact Author)
Hanken School of Economics ( email )
Helsinki
Finland
Pedro Santa-Clara
Nova School of Business and Economics ( email )
Lisbon
Portugal
HOME PAGE: http://docentes.fe.unl.pt/~psc/
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Centre for Economic Policy Research (CEPR) ( email )
77 Bastwick Street
London, EC1V 3PZ
United Kingdom
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 973
Downloads: 161
Download Rank: 92,837
References:  111

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo4 in 0.579 seconds