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Comparing Predictive Accuracy Author info | Abstract | Publisher info | Download info | Related research | Statistics Diebold, Francis X
Mariano, Roberto S
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The authors propose and evaluate explicit tests of the null hypothesis of no difference in the accuracy of two competing forecasts. In contrast to previously developed tests, a wide variety of accuracy measures can be used (in particular, the loss function need not be quadratic and need not even be symmetric) and forecast errors can be non-Gaussian, nonzero mean, serially correlated, and contemporaneously correlated. Asymptotic and exact finite sample tests are proposed, evaluated, and illustrated.
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Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics .
Volume (Year): 13 (1995)
Issue (Month): 3 (July)
Pages: 253-63
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Handle: RePEc:bes:jnlbes:v:13:y:1995:i:3:p:253-63Contact details of provider: Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
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repec:att:wimass:199417 is not listed on IDEAS
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