Factor-MIDAS per forecasting sul PIL italiano
Michetti, Marzia (A.A. 2022/2023) Factor-MIDAS per forecasting sul PIL italiano. Tesi di Laurea in Econometria per la finanza, Luiss Guido Carli, relatore Federico Carlo Eugenio Carlini, pp. 72. [Master's Degree Thesis]
|
PDF (Full text)
Download (4MB) | Preview |
Abstract/Index
MIFAVAR: mixed frequency factor VAR model. Mixed frequency data sampling. MIDAS-VAR: modelli VAR a frequenza mista. Factor model: analisi delle componenti principali. Mixed factor vector AutoRegressive. Dati. Analisi empirica: risultati principali. Un’analisi a confronto: MIFAVAR vs QFVAR.Analisi di robustezza.
References
Bibliografia: pp. 68-70.
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) |
Outstanding Thesis: | Department of Economics and Finance |
Chair: | Econometria per la finanza |
Thesis Supervisor: | Carlini, Federico Carlo Eugenio |
Thesis Co-Supervisor: | Santucci de Magistris, Paolo |
Academic Year: | 2022/2023 |
Session: | Summer |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 23 Jan 2024 16:06 |
Last Modified: | 15 May 2024 07:18 |
URI: | https://tesi.luiss.it/id/eprint/37685 |
Downloads
Downloads per month over past year
Repository Staff Only
View Item |