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

• Autore: Pasiouras Fotios
• Pubblicazione: Singapore ; ; Hackensack, NJ, : World Scientific, c2005
• 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
• ISBN: 1-281-37288-9; 9786611372880; 981-270-320-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910784047403321
• Lo trovi qui: Univ. Federico II
• Serie: Series on computers and operations research ; ; v. 5.