Sovereign credit risk assessment with multiple criteria using an outranking method
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/205170 |
Resumo: | In 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. |
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Silva, Diogo Ferreira de LimaSilva, Julio Cezar SoaresSilva, Lucimário Gois de OliveiraFerreira, LucianoAlmeida Filho, Adiel Teixeira de2020-01-31T04:12:23Z20181024-123Xhttp://hdl.handle.net/10183/205170001107165In 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.application/pdfengMathematical problems in engineering. New York. Vol. 2018 (2018), article ID 8564764, 11 p.Tomada de decisãoMúltiplos critériosRisco financeiroCréditoAdministração de empresasSovereign credit risk assessment with multiple criteria using an outranking methodEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001107165.pdf.txt001107165.pdf.txtExtracted Texttext/plain51354http://www.lume.ufrgs.br/bitstream/10183/205170/2/001107165.pdf.txta9610103801efc2754a383c040180d31MD52ORIGINAL001107165.pdfTexto completo (inglês)application/pdf1880080http://www.lume.ufrgs.br/bitstream/10183/205170/1/001107165.pdf3571c16ab979864f02b26c44c8ed3b3cMD5110183/2051702020-02-01 05:14:06.698295oai:www.lume.ufrgs.br:10183/205170Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2020-02-01T07:14:06Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Sovereign credit risk assessment with multiple criteria using an outranking method |
title |
Sovereign credit risk assessment with multiple criteria using an outranking method |
spellingShingle |
Sovereign credit risk assessment with multiple criteria using an outranking method Silva, Diogo Ferreira de Lima Tomada de decisão Múltiplos critérios Risco financeiro Crédito Administração de empresas |
title_short |
Sovereign credit risk assessment with multiple criteria using an outranking method |
title_full |
Sovereign credit risk assessment with multiple criteria using an outranking method |
title_fullStr |
Sovereign credit risk assessment with multiple criteria using an outranking method |
title_full_unstemmed |
Sovereign credit risk assessment with multiple criteria using an outranking method |
title_sort |
Sovereign credit risk assessment with multiple criteria using an outranking method |
author |
Silva, Diogo Ferreira de Lima |
author_facet |
Silva, Diogo Ferreira de Lima Silva, Julio Cezar Soares Silva, Lucimário Gois de Oliveira Ferreira, Luciano Almeida Filho, Adiel Teixeira de |
author_role |
author |
author2 |
Silva, Julio Cezar Soares Silva, Lucimário Gois de Oliveira Ferreira, Luciano Almeida Filho, Adiel Teixeira de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Silva, Diogo Ferreira de Lima Silva, Julio Cezar Soares Silva, Lucimário Gois de Oliveira Ferreira, Luciano Almeida Filho, Adiel Teixeira de |
dc.subject.por.fl_str_mv |
Tomada de decisão Múltiplos critérios Risco financeiro Crédito Administração de empresas |
topic |
Tomada de decisão Múltiplos critérios Risco financeiro Crédito Administração de empresas |
description |
In 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. |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018 |
dc.date.accessioned.fl_str_mv |
2020-01-31T04:12:23Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/205170 |
dc.identifier.issn.pt_BR.fl_str_mv |
1024-123X |
dc.identifier.nrb.pt_BR.fl_str_mv |
001107165 |
identifier_str_mv |
1024-123X 001107165 |
url |
http://hdl.handle.net/10183/205170 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Mathematical problems in engineering. New York. Vol. 2018 (2018), article ID 8564764, 11 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
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UFRGS |
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Repositório Institucional da UFRGS |
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