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BestsellerE-book
Author Pasiouras, Fotios.

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

Publication Info. Singapore ; Hackensack, NJ : World Scientific, [2005]
©2005

Item Status

Description 1 online resource (xiii, 278 pages) : illustrations.
Physical Medium polychrome
Description text file
Series Series on computers and operations research ; v. 5
Series on computers and operations research ; v. 5.
Bibliography Includes bibliographical references (pages 257-276) and index.
Contents 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.
Summary 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.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Bank mergers -- Econometric models.
Bank mergers -- Econometric models.
Bank mergers.
Prediction theory.
Prediction theory.
Genre/Form Electronic books.
Added Author Tanna, Sailesh.
Zopounidis, Constantin.
Other Form: Print version: Pasiouras, Fotios. Application of quantitative techniques for the prediction of bank acquisition targets. Singapore ; Hackensack, NJ : World Scientific, ©2005 (DLC) 2006298356
ISBN 9812703209 (electronic book)
9789812703200 (electronic book)
9789812565181
9812565183
9812565183