Earnings announcements and portfolio selection. Do they add value

Abstract One of the thorniest problems in investment research is to integrate academic research into a viable investment product. Research techniques that have shown promise in academic studies do not translate well into financial products. The concern of this paper is the academic research that indicates that there is usable information in earnings announcements. A number of articles have explored analysts' earnings estimates, analysts' forecasting ability and the reaction of stock prices to earnings announcements. One research areas is the group of stocks whose earnings announcements constitute positive “earnings surprise” given a consensus of analysts' expected earnings. The consensus derives from a twenty quarter, seasonally adjusted earnings trend and the median analysts' forecasts from I/B/E/S, Inc. The quantitative research department of a major securities firm has identified and published a list of “earnings surprise” stocks for the past 9 years. The major issue addressed in this paper is whether the information contained in earnings announcements is useful as a security screening technique for a portfolio selection process, i.e., Do earnings announcements add value to the performance of a portfolio? Previous studies focused on individual securities. There have been no attempts at integrating earnings surprise into a systematic portfolio approach. The study conducts a comprehensive backtest of whether there is new investment information in earnings surprise data when used with a portfolio selection algorithm. Since the focus is on a usable financial product, this study uses economic return performance to evaluate its results rather than the more commonly used statistical methodology. The results indicate that using earnings surprise information in a periodic revision of a portfolio does not add value. Any value added derives from the portfolio selection algorithm not from the fact that the stocks in the analysis are “earnings surprise” stocks. In addition, the earnings surprise stocks are a source of increased volatility when used in 15–30 asset portfolios.

[1]  M. Deets,et al.  PORTFOLIO RETURNS AND THE RANDOM WALK THEORY , 1971 .

[2]  L. Brown,et al.  Adaptive Expectations, Time-Series Models, and Analyst Forecast Revision , 1979 .

[3]  W. Sharpe.  A Simplified Model for Portfolio Analysis , 1963 .

[4]  Lawrence D. Brown,et al.  Analysts can forecast accurately! , 1980 .

[5]  E. Elton,et al.  Professional Expectations: Accurary and Diagonosis of Errors , 1984, Journal of Financial and Quantitative Analysis.

[6]  EARNINGS ANNOUNCEMENTS AND AUTO-CORRELATION: AN EMPIRICAL TEST , 1979 .

[7]  P. Fishburn.  Mean-Risk Analysis with Risk Associated with Below-Target Returns , 1977 .

[8]  Edwin J. Elton,et al.  Are Betas Best , 1978 .

[9]  Bruce G. Resnick,et al.  More on Estimation Risk and Simple Rules for Optimal Portfolio Selection , 1985 .

[10]  A. Stuart,et al.  Portfolio Selection: Efficient Diversification of Investments. , 1960 .

[11]  David N. Nawrocki,et al.  A customized LPM risk measure for portfolio analysis , 1986 .

[12]  R. H. Moore,et al.  Statistical Distributions: A Handbook for Students and Practitioners , 1975 .

[13]  Tien Foo,et al.  Asset Allocation in a Downside Risk Framework , 2000 .

[14]  E. Elton,et al.  PROFESSIONAL EXPECTATIONS: ACCURACY AND DIAGNOSIS OF ERRORS , 1982 .

[15]  O. Joy,et al.  ADJUSTMENT OF STOCK-PRICES TO ANNOUNCEMENTS OF UNANTICIPATED CHANGES IN QUARTERLY EARNINGS , 1977 .

[16]  Richard J. Rendleman,et al.  Stock returns and SUEs during the 1970's , 1984 .

[17]  David N. Nawrocki.  The characteristics of portfolios selected by n-degree Lower Partial Moment , 1992 .

[18]  Edwin J. Elton,et al.  Discrete Expectational Data and Portfolio Performance , 1986 .

[19]  H. Latané,et al.  STANDARDIZED UNEXPECTED EARNINGS—A PROGRESS REPORT , 1977 .

[20]  H. Latané,et al.  Quarterly earnings reports and subsequent holding period returns , 1974 .

[21]  Richard J. Rendleman,et al.  Empirical anomalies based on unexpected earnings and the importance of risk adjustments , 1982 .

[22]  David N. Nawrocki,et al.  A COMPARISON OF RISK MEASURES WHEN USED IN A SIMPLE PORTFOLIO SELECTION HEURISTIC , 1983 .

[23]  Clinton M. Bidwell.  SUE/PE Revista , 1981 .

[24]  M. Padberg,et al.  Simple Criteria for Optimal Portfolio Selection , 1976 .

[25]  William W. Hogan,et al.  Computation of the Efficient Boundary in the E-S Portfolio Selection Model , 1972, Journal of Financial and Quantitative Analysis.

[26]  Richard J. Rendleman,et al.  FURTHER INSIGHT INTO THE STANDARDIZED UNEXPECTED EARNINGS ANOMALY: SIZE AND SERIAL CORRELATION EFFECTS , 1987 .

[27]  Stewart L. Brown.  Earnings Changes, Stock Prices, and Market Efficiency , 1978 .

[28]  Richard J. Rendleman,et al.  Earnings announcements , 1985 .

[29]  H. Latané,et al.  Standardized Unexpected Earnings—1971–77 , 1979 .

[30]  L. Brown,et al.  The Superiority of Analyst Forecasts as Measures of Expectations: Evidence from Earnings , 1978 .

[31]  Claudia E. Mott,et al.  Earnings Surprise in the Small-Cap World , 1993 .

[32]  David N. Nawrocki.  Optimal algorithms and lower partial moment: ex post results , 1991 .

[33]  A. Huitson,et al.  Statistical distributions: A handbook for students and practitioners , 1975 .

[34]  Ramesh K. S. Rao,et al.  Asset Pricing in a Generalized Mean-Lower Partial Moment Framework: Theory and Evidence , 1989, Journal of Financial and Quantitative Analysis.

[35]  James S. Ang,et al.  Composite Measures for the Evaluation of Investment Performance , 1979, Journal of Financial and Quantitative Analysis.

[36]  W. Sharpe.  A Linear Programming Algorithm for Mutual Fund Portfolio Selection , 1967 .

[37]  A. Stuart,et al.  Portfolio Selection: Efficient Diversification of Investments , 1959 .