Analysts' Use of Earnings Forecasts in Predicting Stock Returns: Forecast Horizon Effects

Little attention has been paid to a principal decision context in which analysts' earnings forecasts are prepared, namely, as an input to their recommendations. We use two data sets, Value Line, USA, and Research Evaluation Service, Canada, and examine the importance of analysts' earnings forecasts for their stock price forecasts via three hypotheses: (1) analysts' earnings forecasts are important for their stock price forecasts; (2) analysts' long-term earnings forecasts are more important than their short-term earnings forecasts for their predictions of stock prices over a particular stock price forecast horizon; (3) the importance of analysts' earnings forecasts for their stock price forecasts rises as the joint earnings and stock price forecast horizon increases. We show that: (1) when the earnings forecast horizon is the next fiscal year, forecasted earnings explain only 30% of the variation in forecasted price; (2) the importance of forecasted earnings for forecasted price rises as the earnings forecast horizon increases; (3) in the long run, (i.e. three to five years hence), forecasted earnings explain about 60% of the variation in forecasted price. Decision usefulness is an ex ante concept, but tests regarding the usefulness of earnings for stock price generally have used actual (not expectational) data. Our evidence suggests that earnings expectations are decision useful, where the decision context is sell-side analysts' stock price forecasts. Our results are potentially important to users of sell-side analyst research reports. When a stock recommendation is accompanied only by short-run earnings forecasts, investors need to closely examine estimates of non-earnings variables to assess the quality of stock recommendations. In contrast, when stock recommendations are accompanied by both short-run and long-run earnings forecasts, investors need to examine estimates of non-earnings information variables less closely.

[1]  George Foster,et al.  Financial Statement Analysis. , 1980 .

[2]  Peter Easton,et al.  EARNINGS AS AN EXPLANATORY VARIABLE FOR RETURNS , 1991 .

[3]  K. Ramesh,et al.  Association between accounting performance measures and stock prices: A test of the life cycle hypothesis , 1992 .

[4]  David A. Belsley,et al.  Regression Analysis and its Application: A Data-Oriented Approach.@@@Applied Linear Regression.@@@Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1981 .

[5]  G. Judge,et al.  The Theory and Practice of Econometrics , 1981 .

[6]  Edwin J. Elton,et al.  Expectations and Share Prices , 1981 .

[7]  George Foster,et al.  Security analyst multi-year earnings forecasts and the capital market , 1985 .

[8]  A. Abdel-khalik,et al.  Returns to Informational Advantages: The Case of Analysts' Forecast Revisions , 1980 .

[9]  Marinus J. Bouwman,et al.  How do financial analysts make decisions? A process model of the investment screening decision , 1987 .

[10]  Jean-Marc Suret,et al.  The reaction of Canadian securities to revisions of earnings forecasts , 1991 .

[11]  James A. Ohlson.  Earnings, Book Values, and Dividends in Equity Valuation* , 1995 .

[12]  S. Penman,et al.  FINANCIAL STATEMENT ANALYSIS AND THE PREDICTION OF STOCK RETURNS , 1989 .

[13]  B. Lev.  ON THE USEFULNESS OF EARNINGS AND EARNINGS RESEARCH: LESSONS AND DIRECTIONS FROM TWO DECADES OF EMPIRICAL RESEARCH , 1989 .

[14]  Bipin B. Ajinkya,et al.  Corporate Managers' Earnings Forecasts and Symmetrical Adjustments of Market Expectations , 1984 .

[15]  Eugene H. Hawkins,et al.  Earnings Expectations and Security Prices , 1984 .

[16]  S. P. Kothari,et al.  Lack of timeliness and noise as explanations for the low contemporaneuos return-earnings association , 1994 .

[17]  L. Brown,et al.  Earnings Forecasting Research: Its Implications for Capital Markets Research , 1993 .

[18]  Dan Givoly,et al.  The information content of financial analysts' forecasts of earnings: Some evidence on semi-strong inefficiency , 1979 .

[19]  E. Dimson,et al.  An Analysis of Brokers' and Analysts' Unpublished Forecasts of UK Stock Returns , 1984 .

[20]  V. Govindarajan,et al.  The objectives of financial statements: An empirical study of the use of cash flow and earnings by security analysts , 1980 .

[21]  Gur Huberman,et al.  Value Line Rank and Firm Size , 1987 .

[22]  L. Brown,et al.  Strong-Form Efficiency on the Toronto Stock Exchange: An Examination of Analyst Price Forecasts , 1990 .

[23]  B. Lev,et al.  Fundamental Information Analysis , 1993 .

[24]  CogginT. Daniel,et al.  Problems in Measuring the Quality of Investment Information: The Perils of the Information Coefficient , 1983 .

[25]  Robert D. Arnott,et al.  The use and misuse of consensus earnings* , 1985 .

[26]  David Mayers,et al.  The value line enigma (1965-1978) : A case study of performance evaluation issues , 1982 .

[27]  A. Rashad Abdel-Khalik,et al.  Specification Problems with Information Content of Earnings: Revisions and Rationality of Expectations and Self-Selection Bias , 1990 .