AI-driven detection of corporate fraud in financial statements
Beneduce, Lorenzo (A.A. 2024/2025) AI-driven detection of corporate fraud in financial statements. Tesi di Laurea in Financial statement analysis, Luiss Guido Carli, relatore Saverio Bozzolan, pp. 89. [Master's Degree Thesis]
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Abstract/Index
Accounting fraud: a literature review. Traditional methods for fraud detection in financial statements. AI in financial statement analysis. Methodology. Dataset. Application of NLP techniques. Analytical pipeline. Results and analysis. Results by linguistic indicator. Implications, AI-Based applications. Strategic implications for fraud detection and auditing. Integrating NLP features into AI models. Regulatory, ethical and practical considerations.
References
Bibliografia: pp. 79-83.
| 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: | Financial statement analysis |
| Thesis Supervisor: | Bozzolan, Saverio |
| Thesis Co-Supervisor: | Magnanelli, Barbara Sveva |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 17 Mar 2026 09:58 |
| Last Modified: | 17 Mar 2026 09:58 |
| URI: | https://tesi.luiss.it/id/eprint/45118 |
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