03078nam 2200649 a 450 991045073050332120200520144314.01-281-37288-99786611372880981-270-320-9(CKB)1000000000334232(EBL)296063(OCoLC)476063161(SSID)ssj0000104568(PQKBManifestationID)11133610(PQKBTitleCode)TC0000104568(PQKBWorkID)10079526(PQKB)10785682(MiAaPQ)EBC296063(WSP)00000801 (Au-PeEL)EBL296063(CaPaEBR)ebr10174111(CaONFJC)MIL137288(EXLCZ)99100000000033423220060912d2005 uy 0engur|n|---|||||txtccrApplication of quantitative techniques for the prediction of bank acquisition targets[electronic resource] /Fotios Pasiouras, Sailesh Tanna, Constantin ZopounidisSingapore ;Hackensack, NJ World Scientificc20051 online resource (293 p.)Series on computers and operations research ;v. 5Description based upon print version of record.981-256-518-3 Includes bibliographical references (p. 257-276) and index.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; IndexIn 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 variouSeries on computers and operations research ;v. 5.Bank mergersEconometric modelsPrediction theoryElectronic books.Bank mergersEconometric models.Prediction theory.332.183.44bclPasiouras Fotios882024Tanna Sailesh949904Zopounidis Constantin732748MiAaPQMiAaPQMiAaPQBOOK9910450730503321Application of quantitative techniques for the prediction of bank acquisition targets2147203UNINA