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dc.contributor.authorSilva, Diogo Ferreira de Limapt_BR
dc.contributor.authorSilva, Julio Cezar Soarespt_BR
dc.contributor.authorSilva, Lucimário Gois de Oliveirapt_BR
dc.contributor.authorFerreira, Lucianopt_BR
dc.contributor.authorAlmeida Filho, Adiel Teixeira dept_BR
dc.date.accessioned2020-01-31T04:12:23Zpt_BR
dc.date.issued2018pt_BR
dc.identifier.issn1024-123Xpt_BR
dc.identifier.urihttp://hdl.handle.net/10183/205170pt_BR
dc.description.abstractIn view of the records of failures in rating agencies’ assessments for sorting countries’ quality of credit in degrees of default risk, this paper proposes a multicriteria sorting model using reference alternatives so as to allocate sovereign credit securities into three categories of risk. From a numerical application, what was observed from the results was a strong adherence of the model in relation to those of the agencies: Standard & Poor's and Moody's. Since the procedure used by the agencies is extremely subjective and often questioned, the contribution of this paper is to put forward the use of an objective and transparent methodology to sort these securities. Given the agencies’ conditions for undertaking the assessment, a complete similarity between the results obtained and the assignments of the agencies was not expected. Therefore, this difference arises from subjective factors that the agencies consider but the proposed model does not. Such subjective and questionable aspects have been partly responsible for the credibility of these credit agencies being diminished, especially after the 2007-2008 crisis.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofMathematical problems in engineering. New York. Vol. 2018 (2018), article ID 8564764, 11 p.pt_BR
dc.rightsOpen Accessen
dc.subjectTomada de decisãopt_BR
dc.subjectMúltiplos critériospt_BR
dc.subjectRisco financeiropt_BR
dc.subjectCréditopt_BR
dc.subjectAdministração de empresaspt_BR
dc.titleSovereign credit risk assessment with multiple criteria using an outranking methodpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001107165pt_BR
dc.type.originEstrangeiropt_BR


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