Analyzing the drivers of bank performance: a comparison between Europe and China using the random forest approach
Artibani, Francesco (A.A. 2024/2025) Analyzing the drivers of bank performance: a comparison between Europe and China using the random forest approach. Tesi di Laurea in Asset pricing, Luiss Guido Carli, relatore Paolo Santucci de Magistris, pp. 83. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Structural and fundamental characteristics of the European and Chinese banking sector. Overview of European banking sector. Overview of Chinese banking sector. Literature review. Internal independent variables. Esternal independent variables. Dependent variable. The random forest model. Ensemble learning. Random forest. Feature importance. Hyperparameters. Overfitting and generalization. Performance metrics. Why utilize a random forest algorithm. Methodology, data collection and exploration. Sample collection. Sample description. Variables description. Exploratory data analysis (EDA). Results and analysis. European banks results. Chinese banks results.
References
Bibliografia: pp. 79-82.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77) |
| Chair: | Asset pricing |
| Thesis Supervisor: | Santucci de Magistris, Paolo |
| Thesis Co-Supervisor: | Carlini, Federico Carlo Eugenio |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 22 Dec 2025 16:00 |
| Last Modified: | 22 Dec 2025 16:00 |
| URI: | https://tesi.luiss.it/id/eprint/44589 |
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