Valuation dynamics in the AI-driven tech sector: an event study of market trends and price behaviour from 2022 to 2025
Manca, Gabriele (A.A. 2024/2025) Valuation dynamics in the AI-driven tech sector: an event study of market trends and price behaviour from 2022 to 2025. Tesi di Laurea in Financial statement analysis, Luiss Guido Carli, relatore Saverio Bozzolan, pp. 113. [Master's Degree Thesis]
![[img]](http://tesi.luiss.it/style/images/fileicons/application_pdf.png) |
PDF (Full text)
Restricted to Registered users only Download (1MB) | Request a copy |
Abstract/Index
Theoretical framework and methodology. Fundamentals of event study analysis. Event study methodology. The AI-driven tech industry. Industry overview: The role of AI in the tech industry. Sector-specific KPIs and performance metrics. Macroeconomic and policy events impacting AI industry. Artificial Intelligence-related issues. Empirical analysis: the effect of AI, R&D and earnings releases. Dataset construction. Event study analysis and results.
References
Bibliografia: pp. 104-107. Sitografia: pp. 108-112.
| 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 09:47 |
| Last Modified: | 17 Mar 2026 09:47 |
| URI: | https://tesi.luiss.it/id/eprint/45116 |
Downloads
Downloads per month over past year
Repository Staff Only
 |
View Item |
