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Predicting US commercial bank failures via a multicriteria approach

Kosmidou, Kyriaki, Zopounidis Konstantinos

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URIhttp://purl.tuc.gr/dl/dias/A1EDDF29-1371-43FD-8E8B-86393BB6A32E-
Identifierhttp://www.inderscience.com/dev/search/index.php?mainAction=search&action=record&rec_id=19311&prevQuery=&ps=10&m=or-
Identifierhttps://doi.org/10.1504/IJRAM.2008.019311-
Languageen-
Extent18 pagesen
TitlePredicting US commercial bank failures via a multicriteria approachen
CreatorKosmidou, Kyriakien
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
PublisherInderscienceen
Content SummaryThis paper examines the problem of bank failure and proceeds to the development of bank failure prediction models based on a multicriteria decision technique, namely UTilites Additives DIScriminantes (UTADIS). A sample data of US banks for the years 1993–2003 is used to develop a model that discriminates between the failed and non-failed banks. Although many studies have been developed examining the problem of bank failure prediction, it is the first time that a multicriteria technique is used in this specific field. The obtained results are quite efficient for the evaluation of bank failure, providing errors of 20% grade for at least four years before the failure. Moreover, the results indicate that the multicriteria approach UTADIS outperforms the traditional multivariate data analysis techniques such as discriminant analysis, supporting the fact that the multicriteria techniques could be used efficiently for the bank failure prediction problem.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-06-
Date of Publication2008-
Subjectbank failuresen
Subject multicriteria decision analysisen
Subject discriminant analysisen
Subject failure predictionen
Subject United Statesen
Subject commercial banksen
Bibliographic CitationK. Kosmidou, and C. Zopounidis, "Predicting US commercial bank failures via a multicriteria approach", Int. J. Risk Assess. Manage., vol. 9, no. 1-2, pp. 26-43, 2008. doi:10.1504/IJRAM.2008.019311en

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