Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/54982 
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dc.contributor.authorKnüppel, Malteen
dc.date.accessioned2012-01-27-
dc.date.accessioned2012-02-03T10:30:17Z-
dc.date.available2012-02-03T10:30:17Z-
dc.date.issued2011-
dc.identifier.isbn978-3-86558-773-2en
dc.identifier.urihttp://hdl.handle.net/10419/54982-
dc.description.abstractThe evaluation of multi-step-ahead density forecasts is complicated by the serial correlation of the corresponding probability integral transforms. In the literature, three testing approaches can be found which take this problem into account. However, these approaches can be computationally burdensome, ignore important information and therefore lack power, or suffer from size distortions even asymptotically. In this work, a fourth testing approach based on raw moments is proposed. It is easy to implement, uses standard critical values, can include all moments regarded as important, and has correct asymptotic size. It is found to have good size and power properties if it is based directly on the (standardized) probability integral transforms.en
dc.language.isoengen
dc.publisher|aDeutsche Bundesbank |cFrankfurt a. M.en
dc.relation.ispartofseries|aDiscussion Paper Series 1 |x2011,32en
dc.subject.jelC12en
dc.subject.jelC52en
dc.subject.jelC53en
dc.subject.ddc330en
dc.subject.keyworddensity forecast evaluationen
dc.subject.keywordnormality testsen
dc.subject.stwPrognoseverfahrenen
dc.subject.stwStatistischer Testen
dc.subject.stwTheorieen
dc.titleEvaluating the calibration of multi-step-ahead density forecasts using raw moments-
dc.typeWorking Paperen
dc.identifier.ppn684344750en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:bubdp1:201132en

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