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Comparing the accuracy of density forecasts from competing models

โœ 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

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โœฆ 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.โ€ƒCopyright ยฉ 2004 John Wiley & Sons, Ltd.


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