Defining risk before optimizing: beta constraints in mean–variance portfolios
Savoca Corona, Tommaso (A.A. 2024/2025) Defining risk before optimizing: beta constraints in mean–variance portfolios. Tesi di Laurea in Econometric theory, Luiss Guido Carli, relatore Paolo Santucci de Magistris, pp. 70. [Master's Degree Thesis]
|
PDF (Full text)
Restricted to Registered users only Download (8MB) | Request a copy |
Abstract/Index
Methodology. Mean–variance optimization. Beta. Regularization via constraints. Robust inference in econometrics. Data. Asset universe and data sources. Internal benchmark construction. Portfolio optimization framework. Empirical results. Gross and net performance. Drawdowns and downside risk. Risk control. Rolling Sharpe ratio. Asset correlation structure. Average portfolio weights and implied risk allocation. Robustness and extensions. Sensitivity to beta targets and constraint tightness. Subperiod and regime analysis. Statistical tests and inference.
References
Bibliografia: pp. 36-38.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Economics and Finance (LM-56) |
| Chair: | Econometric theory |
| Thesis Supervisor: | Santucci de Magistris, Paolo |
| Thesis Co-Supervisor: | Carlini, Federico Carlo Eugenio |
| Academic Year: | 2024/2025 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 25 Jun 2026 09:09 |
| Last Modified: | 25 Jun 2026 09:09 |
| URI: | https://tesi.luiss.it/id/eprint/46253 |
Downloads
Downloads per month over past year
Repository Staff Only
![]() |
View Item |



