Predicting Long-Term Earnings Growth: Comparisons of Expected Return Models, Submartingales and Value Line Analysts

Michael S. Rozeff, Predicting Long-Term Earnings Growth: Comparisons of Expected Return Models, Submartingales and Value Line Analysts, John Wiley & Sons Limited (Reproduced with permission), Vol. 2, No. 4, pp. 425-435, 1983

11 Pages Posted: 12 Oct 2005

See all articles by Michael S. Rozeff

Michael S. Rozeff

SUNY at Buffalo - Department of Financial & Managerial Economics

Abstract

This papers derives four-five year predictions of growth rates of accounting earnings per share implicit in four expected return models commonly used in financial research. A comparison of such growth rates with those produced and reported by Value Line analysts and those generated by a submartingale model revealed the following: two expected return models - the Sharpe-Lintner-Mossin model and the Black model - were significantly more accurate than the submartingale model, though not significantly more accurate than the other return models. However, the growth rate forecasts provided by Value Line significantly outperformed all the other models tested - none of which relied on the direct input of a security analyst.

Keywords: Earnings forecast, Value Line, Sharpe model

JEL Classification: G12, G14

Suggested Citation

Rozeff, Michael S., Predicting Long-Term Earnings Growth: Comparisons of Expected Return Models, Submartingales and Value Line Analysts. Michael S. Rozeff, Predicting Long-Term Earnings Growth: Comparisons of Expected Return Models, Submartingales and Value Line Analysts, John Wiley & Sons Limited (Reproduced with permission), Vol. 2, No. 4, pp. 425-435, 1983. Available at SSRN: https://ssrn.com/abstract=820327

Michael S. Rozeff (Contact Author)

SUNY at Buffalo - Department of Financial & Managerial Economics ( email )

Buffalo, NY 14260
United States

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
293
Abstract Views
1,869
rank
109,124
PlumX Metrics