This paper examines the accuracy (calibration) of judgemental and selected statistical confidence intervals in time series forecasting. Using the forecasts and forecast errors produced by the deseasonalized single exponential smoothing method, three statistical intervals were produced utilizing thre
Relative accuracy of judgemental and extrapolative methods in forecasting annual earnings
โ Scribed by J. Scott Armstrong
- Publisher
- John Wiley and Sons
- Year
- 1983
- Tongue
- English
- Weight
- 757 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0277-6693
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
This paper identifies and analyses previously published studies on annual earnings forecasts. Comparisons of forecasts produced by management, analysts, and extrapolative techniques indicated that: (1) management forecasts were superior to professional analyst forecasts (the mean absolute percentage errors were 15.9 and 17.7, respectively, based on five studies using data from 1967โ1974) and (2) judgemental forecasts (both management and analysts) were superior to extrapolation forecasts on 14 of 17 comparisons from 13 studies using data from 1964โ1979 (the mean absolute percentage errors were 21.0 and 28.4 for judgement and extrapolation, respectively).
These conclusions, based on recent research, differ from those reported in previous reviews, which commented on less than half of the studies identified here.
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