The impact of tech mergers and acquisitions on the short-term and long-term performance of acquirors: based on an event study methodology

Graziano, Sofia (A.A. 2022/2023) The impact of tech mergers and acquisitions on the short-term and long-term performance of acquirors: based on an event study methodology. Tesi di Laurea in Financial reporting and performance measurement, Luiss Guido Carli, relatore Giovanni Fiori, pp. 88. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

Literature review. Tech industry. M&A. Variable description for the regression models and hypothesis development. Data. Sample construction. Descriptive statistics. Methodology. Event study. OLS multilinear regression. Results. Event study. OLS multivariate regression.

References

Bibliografia: pp. 64-68.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Management, English language (LM-77)
Chair: Financial reporting and performance measurement
Thesis Supervisor: Fiori, Giovanni
Thesis Co-Supervisor: Santella, Rosella
Academic Year: 2022/2023
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 13 Jun 2024 14:34
Last Modified: 13 Jun 2024 14:34
URI: https://tesi.luiss.it/id/eprint/38955

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