Post M&A performance effects on listed companies: a quantitative examination through programming
Spescha O Spech, Lorenzo Bruno (A.A. 2023/2024) Post M&A performance effects on listed companies: a quantitative examination through programming. Tesi di Laurea in Computational finance, Luiss Guido Carli, relatore Nicola Borri, pp. 51. [Bachelor's Degree Thesis]
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Abstract/Index
Foundation of M&A. Introduction to mergers and acquisitions. The Mechanics of Mergers and Acquisitions. Examining the evidence: trends and insights from M&A literature. Methodology and data analysis. Quantitative research methods. Data collection and preparation. Presentation of analysis results. Descriptive analysis results. Discussion.
References
Bibliografia: pp. 50-51.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Economics and Business, English language (L-33) |
| Chair: | Computational finance |
| Thesis Supervisor: | Borri, Nicola |
| Academic Year: | 2023/2024 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 12 Nov 2024 17:52 |
| Last Modified: | 12 Nov 2024 17:52 |
| URI: | https://tesi.luiss.it/id/eprint/40366 |
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