<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/C57706DB-B91D-476A-9149-7F3E0767AD0A"><efrbr-work:titleOfTheWork>A multicriteria approach for rating the credit risk of financial institutions</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/C57706DB-B91D-476A-9149-7F3E0767AD0A"><efrbr-expression:titleOfTheExpression>A multicriteria approach for rating the credit risk of financial institutions</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-11-07</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2009</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>Within the new bank regulatory context, the assessment of the credit risk of financial institutions is an important issue for supervising authorities and investors. This study explores the possibility of a developing risk assessment model for financial institutions using a multicriteria classification method. The analysis is based on publicly available financial data for UK firms. The results indicate that the proposed multicriteria methodology provides promising results compared to well known statistical methods.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">Computational Management Science</efrbr-expression:note><efrbr-expression:note type="journal volume">6</efrbr-expression:note><efrbr-expression:note type="journal number">3</efrbr-expression:note><efrbr-expression:note type="page range">347-356</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://viaf.org/viaf/161489651"><efrbr-person:nameOfPerson vocabulary="VIAF">
            Baourakis, George
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            M. Conisescu
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            G. van Dijk
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            Pardalos, Panos M
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            Zopounidis Konstantinos
            Ζοπουνιδης Κωνσταντινος
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            Springer Verlag
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            Credit risk modeling
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="84ECBD5E-9537-4556-859E-C6406A48BC79"><efrbr-concept:termForTheConcept>
            Financial institutions
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="9FA645C8-BC37-45CF-BF88-7CF3C320A7AA"><efrbr-concept:termForTheConcept>
            Multiple criteria decision making
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