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An ordinal classification framework for bank failure prediction: methodology and empirical evidence for US banks

Manthoulis Georgios, Doumpos Michail, Zopounidis Konstantinos, Galariotis, Emilios

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/1277B779-6451-411C-BAB7-2E9604C80D7D-
Αναγνωριστικόhttps://doi.org/10.1016/j.ejor.2019.09.040-
Αναγνωριστικόhttps://www.sciencedirect.com/science/article/pii/S0377221719307970-
Γλώσσαen-
Μέγεθος16 pagesen
ΤίτλοςAn ordinal classification framework for bank failure prediction: methodology and empirical evidence for US banksen
ΔημιουργόςManthoulis Georgiosen
ΔημιουργόςΜανθουλης Γεωργιοςel
ΔημιουργόςDoumpos Michailen
ΔημιουργόςΔουμπος Μιχαηλel
ΔημιουργόςZopounidis Konstantinosen
ΔημιουργόςΖοπουνιδης Κωνσταντινοςel
ΔημιουργόςGalariotis, Emiliosen
ΕκδότηςElsevieren
ΠερίληψηBank failure prediction models usually combine financial attributes through binary classification approaches. In this study we extend this standard framework in three main directions. First, we explore the predictive power of attributes that describe the diversification of banking operations. Second, we consider the prediction of failure in a multi-period context. Finally, an enhanced ordinal classification framework is introduced, which considers multiple instances of failed banks prior to failure (up to three years prior to bankruptcy). Various ordinal models are developed using techniques from multiple criteria decision analysis, statistics, and machine learning. Moreover, ensemble models based on error-correcting output codes are examined. The analysis is based on a sample consisting of approximately 60,000 observations for banks in the United States over the period 2006–2015. The results show that diversification attributes improve the predictive power of bank failure prediction models, mainly for mid to long-term prediction horizons. Moreover, ordinal classification models provide a better description of the state of the banks prior to failure and are competitive to standard binary classification models.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2022-04-20-
Ημερομηνία Δημοσίευσης2020-
Θεματική ΚατηγορίαOR in bankingen
Θεματική ΚατηγορίαBank failure predictionen
Θεματική ΚατηγορίαOrdinal classificationen
Θεματική ΚατηγορίαMultiple criteria analysisen
Βιβλιογραφική ΑναφοράG. Manthoulis, M. Doumpos, C. Zopounidis, and E. Galariotis, “An ordinal classification framework for bank failure prediction: methodology and empirical evidence for US banks,” Eur. J. Oper. Res., vol. 282, no. 2, pp. 786–801, Apr. 2020, doi: 10.1016/j.ejor.2019.09.040.en

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