An Application of Support Vector Machines in the Prediction of Acquisition Targets: Evidence from the EU Banking Sector
In: Handbook of Financial Engineering
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DOI: 10.1007/978-0-387-76682-9_14
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Citations
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Cited by:
- 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.
- 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.
- Apostolos G. Katsafados & Dimitris Anastasiou, 2024.
"Short-term prediction of bank deposit flows: do textual features matter?,"
Annals of Operations Research, Springer, vol. 338(2), pages 947-972, July.
- Katsafados, Apostolos & Anastasiou, Dimitris, 2022. "Short-term Prediction of Bank Deposit Flows: Do Textual Features matter?," MPRA Paper 111418, University Library of Munich, Germany.
- 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.
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Keywords
Support Vector Machine; Banking Sector; European Central Bank; Probabilistic Neural Network; Radial Basis Function Kernel;All these keywords.
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