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Application of quantitative techniques for the prediction of bank acquisition targets / / Fotios Pasiouras, Sailesh Tanna, Constantin Zopounidis



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Autore: Pasiouras Fotios Visualizza persona
Titolo: Application of quantitative techniques for the prediction of bank acquisition targets / / Fotios Pasiouras, Sailesh Tanna, Constantin Zopounidis Visualizza cluster
Pubblicazione: Singapore ; ; Hackensack, NJ, : World Scientific, c2005
Edizione: 1st ed.
Descrizione fisica: 1 online resource (293 p.)
Disciplina: 332.1
Soggetto topico: Bank mergers - Econometric models
Prediction theory
Classificazione: 83.44
Altri autori: TannaSailesh  
ZopounidisConstantin  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references (p. 257-276) and index.
Nota di contenuto: Preface; Contents; 1. Banks M&As: Motives and Evidence; 2. Studies on the Prediction of Acquisition Targets; 3 . Methodological Framework for the Development of Acquisition Targets Prediction Model; 4 . Data and Preliminary Analysis; 5 . Development of Acquisitions Prediction Models; 6 . Integration of Prediction Models; 7 . Conclusions; Bibliography; Index
Sommario/riassunto: In recent years, the banking industry has faced significant challenges due to deregulation, globalization, financial innovation, and intensified global competition. In response to these challenges, banks have adopted strategies to grow and expand their activities, with mergers and acquisitions (M&As) being one of the most popular over the last decade. This unique book thus discusses the use of quantitative classification methods for the prediction of bank acquisitions. With an overview of the M&A trends in the EU banking industry and a survey of the motives for M&As, the authors compare variou
Titolo autorizzato: Application of quantitative techniques for the prediction of bank acquisition targets  Visualizza cluster
ISBN: 1-281-37288-9
9786611372880
981-270-320-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910823072703321
Lo trovi qui: Univ. Federico II
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Serie: Series on computers and operations research ; ; v. 5.