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The prediction of bank acquisition targets with discriminant and logit analyses: Methodological issues and empirical evidence

Pasiouras Fotios, Sailesh Tanna

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URIhttp://purl.tuc.gr/dl/dias/B43BBA47-1D19-43D4-B290-6440B1AE4B34-
Identifierhttps://doi.org/10.1016/j.ribaf.2009.01.004-
Languageen-
TitleThe prediction of bank acquisition targets with discriminant and logit analyses: Methodological issues and empirical evidenceen
CreatorPasiouras Fotiosen
CreatorΠασιουρας Φωτιοςel
CreatorSailesh Tannaen
PublisherElsevieren
Content SummaryThis paper uses discriminant and logit analyses to develop prediction models to identify bank acquisition targets. We consider several methodological issues, such as whether the choice of the estimation technique, the selection of variables, the use of raw versus industry relative data, the train-and-test sampling scheme, and the criteria for model evaluation affect the predictive accuracy of the developed models. Both estimation methods generate remarkably similar model performance rankings, while differences are revealed in the relative importance of variables when using raw versus industry relative data. We find that in most cases there is a fair amount of misclassification, consistent with previous studies in non-financial sectors, which is hard to avoid given the nature of the 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 Item2015-10-27-
Date of Publication2010-
Bibliographic CitationPasiouras F, Tanna S., "The prediction of bank acquisition targets with discriminant and logit analyses: Methodological issues and empirical evidence", Research in International Business and Finance, vol. 24, no. 1, pp. 39-61, Jan. 2010. doi: 10.1016/j.ribaf.2009.01.004en

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