A Comparative Study of the Forecasting Accuracy of Holt‐Winters and Economic Indicator Models of Earnings Per Share For Financial Decision Making
- 1 February 1987
- journal article
- Published by Emerald Publishing in Managerial Finance
- Vol. 13 (2) , 10-15
- https://doi.org/10.1108/eb013581
Abstract
Earnings forecasts provide useful numerical information concerning the expectations of a firm's future prospects and indicate management's ability to anticipate a firm's changing internal structure and external environment. The reasons for studying the accuracy of earnings forecasts is due to the Securities and Exchange Commission's position on financial forecasts and the issuance of a Statement of Position by the AICPA. These statements are important since they, in part, have motivated researchers to the importance of forecasting financial information. Consequently, if the disclosure of earnings forecasts in financial reports is permissable, the improvement of financial forecasts should be one of the primary concerns of the AICPA, the SEC, and numerous other interested groups.Keywords
This publication has 11 references indexed in Scilit:
- COMPARING FORECAST ACCURACY FOR EXPONENTIAL SMOOTHING MODELS OF EARNINGS‐PER‐SHARE DATA FOR FINANCIAL DECISION MAKINGDecision Sciences, 1986
- The economic determinants of the market reaction to proposed mandatory accounting changes in the oil and gas industry: A cross-sectional analysisJournal of Accounting and Economics, 1981
- On The Predictability of Corporate Earnings Per Share BehaviorThe Journal of Finance, 1980
- Aspects of the Production of Significant Financial ResearchThe Journal of Finance, 1979
- The Time Series of Annual Accounting EarningsJournal of Accounting Research, 1977
- FIXED SUM LOSSES IN OPERATIONAL FORECASTINGDecision Sciences, 1976
- A Statistical Technique for Analytical ReviewJournal of Accounting Research, 1975
- Effectiveness of Earnings Per Share ForecastsFinancial Management, 1974
- Empirical Comparison of Models for Short Range ForecastingManagement Science, 1973
- Properties of Accounting Numbers: Models and TestsJournal of Accounting Research, 1973