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The survival of Portuguese credit co-operatives: an econometric approach

dc.contributor.authorCabo, Paula
dc.contributor.authorRebelo, João
dc.date.accessioned2011-05-25T14:06:39Z
dc.date.available2011-05-25T14:06:39Z
dc.date.issued2010
dc.description.abstractThe banking system robustness is an actual concern and a priority for EU and national authorities. Although Portuguese Agricultural Credit Co-operatives (CCAM) performance, as a group, compares favourably with that of other credit institutions, individual CCAM occasionally do enter in distress. The increasingly large size of the CCAM raises concerns regarding the resolution of potential distress situations given some of the cooperative governance rules. The main purpose of this paper is to evaluate CCAM risk of insolvency. To accomplish this objective, the authors analyze the CCAM failures in the period between 1995 and 2009, adopting a Cox proportional hazards model. The model shows that Transformation ratio and Other Structural Costs ratio were important indicators to evaluate the relative risk of insolvency for CCAM.por
dc.identifier.citationCabo, Paula; Rebelo, João (2010). The survival of Portuguese credit co-operatives: an econometric approach. In ICA European Research Conference. Lyonpor
dc.identifier.urihttp://hdl.handle.net/10198/4568
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectCredit cooperativepor
dc.subjectSolvencypor
dc.subjectCox proportional hazards modelpor
dc.titleThe survival of Portuguese credit co-operatives: an econometric approachpor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceLyon, Francepor
oaire.citation.titleICA European Research Conference 2010por
person.familyNameCabo
person.givenNamePaula
person.identifier.ciencia-id171A-E569-EAF4
person.identifier.orcid0000-0002-8462-7657
person.identifier.scopus-author-id41961021900
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationb4ca54f0-de05-4d66-ba34-2643b19020d9
relation.isAuthorOfPublication.latestForDiscoveryb4ca54f0-de05-4d66-ba34-2643b19020d9

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