Architectures of influence: AI-powered nudging, investor behaviour, and the future of financial markets
Damianidou, Elina (A.A. 2024/2025) Architectures of influence: AI-powered nudging, investor behaviour, and the future of financial markets. Tesi di Laurea in Behavioural economics and psychology, Luiss Guido Carli, relatore Giacomo Sillari, pp. 38. [Bachelor's Degree Thesis]
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Abstract/Index
Theoretical framework. Nudge theory and behavioural economics. AI-driven nudging: the evolution of personalised interventions. Ethical and regulatory concerns. AI nudging on the individual level. AI-powered nudging and investor behaviour. AI in retail finance and personal investment. AI nudging in trading and portfolio management. Behavioural biases and algorithmic exploitation. AI nudging as a market phenomenon: empirical analysis. AI nudging, systemic risk and market stability. Institutional AI nudging and algorithmic trading. Market risks introduced by AI nudging. Case studies on market volatility.
References
Bibliografia: pp. 36-38.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Politics: Philosophy and Economics (L-36) |
| Chair: | Behavioural economics and psychology |
| Thesis Supervisor: | Sillari, Giacomo |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 27 Nov 2025 14:59 |
| Last Modified: | 27 Nov 2025 14:59 |
| URI: | https://tesi.luiss.it/id/eprint/44121 |
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