Description

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 various statistical and computational methodologies used to analyze and predict bank acquisitions. The material constitutes a useful basis for researchers and practitioners in banking management to develop and analyze investment decisions related to M&As.

Application Of Quantitative Techniques For The Prediction Of Bank Acquisition Targets

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Hardback by Fotios Pasiouras , Constantin Zopounidis

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Short Description:

In recent years, the banking industry has faced significant challenges due to deregulation, globalization, financial innovation, and intensified global competition.... Read more

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 05/10/2005
    ISBN13: 9789812565181, 978-9812565181
    ISBN10: 9812565183

    Number of Pages: 292

    Non Fiction , Business, Finance & Law

    Description

    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 various statistical and computational methodologies used to analyze and predict bank acquisitions. The material constitutes a useful basis for researchers and practitioners in banking management to develop and analyze investment decisions related to M&As.

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