Estimating the Equity Risk Premium with Time-Series Forecasts of Earnings

48 Pages Posted: 9 May 2010 Last revised: 27 Dec 2011

See all articles by Kristian D. Allee

Kristian D. Allee

University of Arkansas - Department of Accounting

Multiple version iconThere are 2 versions of this paper

Date Written: December 22, 2011

Abstract

The size of the equity risk premium remains an unanswered question in the accounting and finance literature. This study proposes a new approach to reverse-engineer the equity risk premium, distinct from prior research, in that it does not rely on analysts’ forecasts to proxy for the market’s earnings expectations. That I instead use time-series earnings forecasts allows an investigation of the equity risk premium across a broader cross-section of firms, including smaller firms that are not covered by analysts. This study finds that risk premia are significantly higher for firms not followed by analysts. This suggests that studies requiring analysts’ earnings forecasts to estimate the equity risk premium have likely underestimated its overall level. Additional validity tests on my firm- and year-specific risk premium estimates reveal that these estimates consistently and predictably relate to multiple measures of risk, particularly for firms not followed by analysts.

Keywords: Equity Risk Premium, Analyst Following, Risk Measurement, and Earnings Forecasts

JEL Classification: M41, G32, C22

Suggested Citation

Allee, Kristian D., Estimating the Equity Risk Premium with Time-Series Forecasts of Earnings (December 22, 2011). Available at SSRN: https://ssrn.com/abstract=1600749 or http://dx.doi.org/10.2139/ssrn.1600749

Kristian D. Allee (Contact Author)

University of Arkansas - Department of Accounting ( email )

University of Arkansas
Business Building 458
Fayetteville, AR 72701
United States
479-575-5227 (Phone)

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
115
Abstract Views
971
Rank
158,867
PlumX Metrics