Artificial intelligence in finance: optimizing mergers and acquisitions with machine learning
Fellin, Irene (A.A. 2024/2025) Artificial intelligence in finance: optimizing mergers and acquisitions with machine learning. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 93. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
State of the art. Background on mergers and acquisitions. Applications of machine learning in finance. Applications of machine learning for M&A. Context of application and methodology. Hosting company and business context. Problem definition and methodology. AI propensity model. Data collection, preparation and feature engineering. Feature selection. Modelling approach. Metric and results. SHAP analysis.
References
Bibliografia: pp. 77-86.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Machine learning |
| Thesis Supervisor: | Italiano, Giuseppe Francesco |
| Thesis Co-Supervisor: | Sozio, Mauro |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 05 Jun 2026 13:15 |
| Last Modified: | 05 Jun 2026 13:15 |
| URI: | https://tesi.luiss.it/id/eprint/46098 |
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