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dc.contributor.authorChristidis, Angela Chih-Yingen_GB
dc.contributor.authorGregory, Alanen_GB
dc.date.accessioned2010-11-04T15:11:53Zen_GB
dc.date.accessioned2011-01-25T10:28:35Zen_GB
dc.date.accessioned2013-03-20T11:11:37Z
dc.date.issued2010-09en_GB
dc.description.abstractIn this paper we develop some new models for the prediction of failure in the UK that add to the literature by showing that “dynamic logit” models that incorporate market variables of the form developed by Chava and Jarrow (2004) and Campbell et al (2008) add considerable power to pure accounting-based models. Importantly, we extend the logic of Campbell et al (2008) by showing that incorporating macro-economic variables adds predictive power, both in and out-of-sample, to market-based accounting models. Last, we show that adding industry controls gives a modest improvement to such models for UK firms in the case of a models based on accounting, market and economic variables, but a greater improvement in terms of a pure accounting based model.en_GB
dc.identifier.urihttp://hdl.handle.net/10036/114713en_GB
dc.language.isoenen_GB
dc.publisherUniversity of Exeter Business Schoolen_GB
dc.relation.ispartofseriesXfi - Centre for Finance and Investment Discussion Paperen_GB
dc.relation.ispartofseriesno.10/04en_GB
dc.relation.urlhttp://business-school.exeter.ac.uk/research/areas/topics/finance/outputs/en_GB
dc.titleSome new models for financial distress prediction in the UKen_GB
dc.typeWorking Paperen_GB
dc.date.available2010-11-04T15:11:53Zen_GB
dc.date.available2011-01-25T10:28:35Zen_GB
dc.date.available2013-03-20T11:11:37Z
dc.descriptionDiscussion paperen_GB


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