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dc.contributor.authorKrämer, Walter-
dc.contributor.authorNeumärker, Simon-
dc.date.accessioned2016-02-02T14:54:59Z-
dc.date.available2016-02-02T14:54:59Z-
dc.date.issued2016-
dc.identifier.urihttp://hdl.handle.net/2003/34499-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-16552-
dc.description.abstractWe generalize the refinement ordering for well calibrated probability forecasters to the case were the debtors under consideration are not necessarily identical. This ordering is consistent with many well known skill scores used in practice. We also add an illustration using default predictions made by the leading rating agencies Moody's and S&P.en
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823;8/2016en
dc.subjectMoody'sen
dc.subjectprobability forecastsen
dc.subjectS&Pen
dc.subject.ddc310-
dc.subject.ddc330-
dc.subject.ddc620-
dc.titleComparing default predictions in the rating industry for different sets of obligorsen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 823

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