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dc.contributor.authorJORDÀ, Òscar
dc.contributor.authorMARCELLINO, Massimiliano
dc.date.accessioned2008-11-14T11:07:30Z
dc.date.available2008-11-14T11:07:30Z
dc.date.issued2008
dc.identifier.issn1725-6704
dc.identifier.urihttp://hdl.handle.net/1814/9813
dc.description.abstractA path forecast refers to the sequence of forecasts 1 to H periods into the future. A summary of the range of possible paths the predicted variable may follow for a given confidence level requires construction of simultaneous confidence regions that adjust for any covariance between the elements of the path forecast. This paper shows how to construct such regions with the joint predictive density and Scheffé’s (1953) S-method. In addition, the joint predictive density can be used to construct simple statistics to evaluate the local internal consistency of a forecasting exercise of a system of variables. Monte Carlo simulations demonstrate that these simultaneous confidence regions provide approximately correct coverage in situations where traditional error bands, based on the collection of marginal predictive densities for each horizon, are vastly off mark. The paper showcases these methods with an application to the most recent monetary episode of interest rate hikes in the U.S. macroeconomy.en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherEuropean University Institute
dc.relation.ispartofseriesEUI ECOen
dc.relation.ispartofseries2008/34en
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectpath forecasten
dc.subjectsimultaneous confidence regionen
dc.subjecterror bandsen
dc.titlePath Forecast Evaluationen
dc.typeWorking Paperen
dc.neeo.contributorJORDÀ|Oscar|aut|
dc.neeo.contributorMARCELLINO|Massimiliano|aut|EUI70008
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