Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/10172
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dc.contributor.authorTaylor, JW-
dc.contributor.authorYu, K-
dc.date.accessioned2015-02-10T11:02:32Z-
dc.date.available2015-02-10T11:02:32Z-
dc.date.issued2016-
dc.identifier.citationJournal of the Royal Statistical Society, 2016, 179 (4) pp. 1069 - 1092en_US
dc.identifier.issn0964-1998-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/10172-
dc.language.isoenen_US
dc.relation.ispartofJournal of the Royal Statistical Society-
dc.subjectAsymmetric Laplace distributionen_US
dc.subjectExtreme value theoryen_US
dc.subjectFinancial risk managementen_US
dc.subjectProbability forecastingen_US
dc.titleUsing autoregressive logit models to forecast the exceedance probability for financial risk managementen_US
dc.typeArticleen_US
dc.date.dateAccepted2015-10-12-
dc.identifier.doihttps://doi.org/10.1111/rssa.12176-
dc.identifier.eissn1467-985X-
dcterms.publisherWiley on behalf of the Royal Statistical Society-
dc.description.versionAccepted-
Appears in Collections:Dept of Mathematics Research Papers

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