## Abstract Using the method of ARIMA forecasting with benchmarks developed in this paper, it is possible to obtain forecasts which take into account the historical information of a series, captured by an ARIMA model (Box and Jenkins, 1970), as well as partial prior information about the forecasts.
Optimal conditional ARIMA forecasts
✍ Scribed by Víctor M. Guerrero
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 657 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0277-6693
No coin nor oath required. For personal study only.
✦ Synopsis
An optimal univariate forecast, based on historical and additional information about the future, is obtained in this paper. Its statistical properties, as well as some inferential procedures derived from it, are indicated. Two main situations are considered explicitly: (1) when the additional information imposes a constraint to be fulfilled exactly by the forecasts and (2) when the information is only a conjecture about the future values of the series or a forecast from an alternative model. Theoretical and empirical illustrations are provided, and a unification of the existing methods is also attempted.
KEY WORDS ARIMA models Combination of forecasts
Minimum mean-square error Prior information Quadratic minimization Time series
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