Exploring the role of AI in banking risk assessment
Mascherucci, Matteo (A.A. 2023/2024) Exploring the role of AI in banking risk assessment. Tesi di Laurea in Digital finance, Luiss Guido Carli, relatore Paolo Bonolis, pp. 72. [Master's Degree Thesis]
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Abstract/Index
Comprehensive overview on risk and artificial intelligence. Different types of risk. Traditional methods of risk management. Introduction to AI and machine learning. Historical evolution of AI. AI techniques used in risk assessment. Machine learning models. How machine learning algorithms are developed. Machine learning applications in the risk management process. Other artificial intelligence models. How to develop a machine learning algorithm for credit scoring. Data set. Data processing. Models training and evaluation. Performance comparison. Advantages and issues in the implementation of AI in the banking risk assessment process.
References
Bibliografia: pp. 66-69.
| 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: | Digital finance |
| Thesis Supervisor: | Bonolis, Paolo |
| Thesis Co-Supervisor: | Casertano, Gaetano |
| Academic Year: | 2023/2024 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 10 Jul 2025 12:21 |
| Last Modified: | 10 Jul 2025 12:21 |
| URI: | https://tesi.luiss.it/id/eprint/42876 |
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