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Application of quantitative techniques for the prediction of bank acquisition targets /

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&am...

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Bibliographic Details
Main Authors: Pasiouras, Fotios
Corporate Authors: World Scientific Firm
Group Author: Tanna, Sailesh; Zopounidis, Constantin
Published: World Scientific Pub. Co.,
Publisher Address: Singapore ; Hackensack, N.J. :
Publication Dates: 2005.
Literature type: eBook
Language: English
Series: Series on computers and operations research ; v. 5
Subjects:
Bank mergers > Econometric models
Prediction theory
Electronic books
Online Access: http://www.worldscientific.com/worldscibooks/10.1142/5955#t=toc
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 vari
Carrier Form: 1 online resource (xiii,278pages) : illustrations.
Bibliography: Includes bibliographical references (pages 257-276) and index.
ISBN: 9789812703200 (electronic bk.)
CLC: F831.5
Contents: 1. Banks M&As : motives and evidence. 1.1. Overview. 1.2. M&As trends in the European Union. 1.3. Reasons and motives for banks M&As. 1.4. Studies on Banks' M&As -- 2. Studies on the prediction of acquisition targets. 2.1. Introduction. 2.2. Studies employing statistical techniques. 2.3. Studies using econometric techniques. 2.4. Other studies. 2.5. Conclusions -- 3. Methodological framework for the development of acquisition targets prediction model. 3.1. Introduction. 3.2. Sampling considerations. 3.3. Variables selection process. 3.4. Method selection. 3.5. Aspects of model evaluation. 3.

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