EconPapers    
Economics at your fingertips  
 

New Forecasts of the Equity Premium

Christopher Polk, Samuel Thompson and Tuomo Vuolteenaho

No 10406, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: If investors are myopic mean-variance optimizers, a stock's expected return is linearly related to its beta in the cross section. The slope of the relation is the cross-sectional price of risk, which should equal the expected equity premium. We use this simple observation to forecast the equity-premium time series with the cross-sectional price of risk. We also introduce novel statistical methods for testing stock-return predictability based on endogenous variables whose shocks are potentially correlated with return shocks. Our empirical tests show that the cross-sectional price of risk (1) is strongly correlated with the market's yield measures and (2) predicts equity-premium realizations especially in the first half of our 1927-2002 sample.

JEL-codes: G12 G14 (search for similar items in EconPapers)
Date: 2004-04
New Economics Papers: this item is included in nep-fin and nep-fmk
Note: AP
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Published as Polk, Christopher, Samuel Thompson and Tuojmo Vuolteenaho. "Cross-Sectional Forecasts Of The Equity Premium," Journal of Financial Economics, 2006, v81(1,Jul), 101-147.

Downloads: (external link)
http://www.nber.org/papers/w10406.pdf (application/pdf)

Related works:
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:nbr:nberwo:10406

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w10406

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().

 
Page updated 2025-03-19
Handle: RePEc:nbr:nberwo:10406