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An Application of Support Vector Machines in the Prediction of Acquisition Targets: Evidence from the EU Banking Sector

In: Handbook of Financial Engineering

Author

Listed:
  • Fotios Pasiouras

    (University of Bath)

  • Chrysovalantis Gaganis

    (Technical University of Crete, University Campus)

  • Sailesh Tanna

    (Coventry University)

  • Constantin Zopounidis

    (Technical University of Crete, University Campus)

Abstract

No abstract is available for this item.

Suggested Citation

  • Fotios Pasiouras & Chrysovalantis Gaganis & Sailesh Tanna & Constantin Zopounidis, 2008. "An Application of Support Vector Machines in the Prediction of Acquisition Targets: Evidence from the EU Banking Sector," Springer Optimization and Its Applications, in: Constantin Zopounidis & Michael Doumpos & Panos M. Pardalos (ed.), Handbook of Financial Engineering, pages 431-456, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-76682-9_14
    DOI: 10.1007/978-0-387-76682-9_14
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    Citations

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    Cited by:

    1. 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.
    2. Katsafados, Apostolos G. & Androutsopoulos, Ion & Chalkidis, Ilias & Fergadiotis, Manos & Leledakis, George N. & Pyrgiotakis, Emmanouil G., 2020. "Textual Information and IPO Underpricing: A Machine Learning Approach," MPRA Paper 103813, University Library of Munich, Germany.
    3. Katsafados, Apostolos & Anastasiou, Dimitris, 2022. "Short-term Prediction of Bank Deposit Flows: Do Textual Features matter?," MPRA Paper 111418, University Library of Munich, Germany.
    4. Pasiouras, Fotios & Tanna, Sailesh, 2010. "The prediction of bank acquisition targets with discriminant and logit analyses: Methodological issues and empirical evidence," Research in International Business and Finance, Elsevier, vol. 24(1), pages 39-61, January.

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