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Application of Quantitative Techniques for the Prediction of Bank Acquisition Targets

Author

Listed:
  • Fotios Pasiouras

    (Coventry University, UK & Technical University of Crete, Greece)

  • Sailesh Tanna

    (Coventry University, UK)

  • Constantin Zopounidis

    (Technical University of Crete, Greece)

Abstract

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.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Fotios Pasiouras & Sailesh Tanna & Constantin Zopounidis, 2005. "Application of Quantitative Techniques for the Prediction of Bank Acquisition Targets," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 5955, August.
    • Handle: RePEc:wsi:wsbook:5955
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    Citations

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    Cited by:

    1. Chrysovalantis Gaganis & Fotios Pasiouras & Charalambos Spathis & Constantin Zopounidis, 2007. "A comparison of nearest neighbours, discriminant and logit models for auditing decisions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 15(1‐2), pages 23-40, January.
    2. Pasiouras, Fotios & Gaganis, Chrysovalantis & Zopounidis, Constantin, 2007. "Multicriteria decision support methodologies for auditing decisions: The case of qualified audit reports in the UK," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1317-1330, August.
    3. Pasiouras, Fotios & Gaganis, Chrysovalantis & Zopounidis, Constantin, 2010. "Multicriteria classification models for the identification of targets and acquirers in the Asian banking sector," European Journal of Operational Research, Elsevier, vol. 204(2), pages 328-335, July.
    4. Ghosh, Chinmoy & Harding, John & Phani, B.V., 2008. "Does liberalization reduce agency costs? Evidence from the Indian banking sector," Journal of Banking & Finance, Elsevier, vol. 32(3), pages 405-419, March.
    5. Pasiouras, Fotios & Kosmidou, Kyriaki, 2007. "Factors influencing the profitability of domestic and foreign commercial banks in the European Union," Research in International Business and Finance, Elsevier, vol. 21(2), pages 222-237, June.

    Book Chapters

    The following chapters of this book are listed in IDEAS

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