Publication:
The golden rule of forecasting: objections, refinements, and enhancements

Simple item page
dc.contributor.authorSoyer, Emre
dc.contributor.authorHogarth, R. M.
dc.contributor.departmentBusiness Administration
dc.contributor.ozuauthorSOYER, Emre
dc.date.accessioned2015-10-23T06:39:46Z
dc.date.available2015-10-23T06:39:46Z
dc.date.issued2015-08
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractIn providing a “golden rule” for forecasting, Armstrong, Green, and Graefe (this issue) raise aspirations that reliable forecasting is possible. They advocate a conservative approach that mainly involves extrapolating from the present. We comment on three issues that relate to their proposed Golden Rule: its scope of application, the importance of highly improbable events, and the challenges of communicating forecasts.en_US
dc.identifier.doi10.1016/j.jbusres.2015.03.029
dc.identifier.endpage1704
dc.identifier.issn0148-2963
dc.identifier.issue8
dc.identifier.scopus2-s2.0-84930277195
dc.identifier.startpage1702
dc.identifier.urihttp://hdl.handle.net/10679/951
dc.identifier.urihttps://doi.org/10.1016/j.jbusres.2015.03.029
dc.identifier.volume68
dc.identifier.wos000356743100006
dc.language.isoengen_US
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Business Research
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsConservativeen_US
dc.subject.keywordsGolden Ruleen_US
dc.subject.keywordsScenarioen_US
dc.subject.keywordsSimulationen_US
dc.titleThe golden rule of forecasting: objections, refinements, and enhancementsen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication3920f480-c8c2-457c-8c42-5e73823c300f
relation.isOrgUnitOfPublication.latestForDiscovery3920f480-c8c2-457c-8c42-5e73823c300f

Files

License bundle

Now showing 1 - 1 of 1
Placeholder
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Business Administration