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]

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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

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