## Abstract Density forecasts for weather variables are useful for the many industries exposed to weather risk. Weather ensemble predictions are generated from atmospheric models and consist of multiple future scenarios for a weather variable. The distribution of the scenarios can be used as a dens
Comparing the accuracy of density forecasts from competing models
โ Scribed by Lucio Sarno; Giorgio Valente
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 153 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.930
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
A rapidly growing literature emphasizes the importance of evaluating the forecast accuracy of empirical models on the basis of density (as opposed to point) forecasting performance. We propose a test statistic for the null hypothesis that two competing models have equal density forecast accuracy. Monte Carlo simulations suggest that the test, which has a known limiting distribution, displays satisfactory size and power properties. The use of the test is illustrated with an application to exchange rate forecasting.โCopyright ยฉ 2004 John Wiley & Sons, Ltd.
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