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- W2125578203 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. Copyright © 2004 John Wiley & Sons, Ltd." @default.
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- W2125578203 date "2004-01-01" @default.
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- W2125578203 title "Comparing the accuracy of density forecasts from competing models" @default.
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- W2125578203 doi "https://doi.org/10.1002/for.930" @default.
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