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Developing and testing models for replicating credit ratings: a multicriteria approach

Michael Doumpos, Pasiouras Fotios

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URIhttp://purl.tuc.gr/dl/dias/A1CCB57A-BCE7-4E3C-BA88-1D76B1A2342A-
Identifierhttp://link.springer.com/article/10.1007/s10614-005-6412-4-
Identifierhttps://doi.org/10.1007/s10614-005-6412-4-
Languageen-
Extent15 pagesen
TitleDeveloping and testing models for replicating credit ratings: a multicriteria approachen
CreatorMichael Doumposen
CreatorΔουμπος Μιχαληςel
CreatorPasiouras Fotiosen
CreatorΠασιουρας Φωτιοςel
PublisherKluweren
Content SummaryCredit ratings issued by international agencies are extensively used in practice to support investment and financing decisions. Furthermore, a considerable portion of the financial research has been devoted to the analysis of credit ratings, in terms of their effectiveness, and practical implications. This paper explores the development of appropriate models to replicate the credit ratings issued by a rating agency. The analysis is based on a multicriteria classification method used in the development of the model. Special focus is laid on testing the out-of-time and out-of-sample effectiveness of the models and a comparison is performed with other parametric and non-parametric classification methods. The results indicate that using publicly available financial data, it is possible to replicate the credit ratings of the firms with a satisfactory accuracy.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-18-
Date of Publication2005-
SubjectCredit rating en
SubjectClassificationen
SubjectModel testing en
SubjectMulticriteria decision aiden
Bibliographic CitationM. Doumpos and F. Pasiouras, "Developing and testing models for replicating credit ratings: a multicriteria approach," Computat. Econom., vol. 25, no. 4, pp. 327-341, Jun. 2005. doi:10.1007/s10614-005-6412-4en

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