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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-09272024-105305


Tipo di tesi
Tesi di laurea magistrale
Autore
GERACI, NICOLÒ
URN
etd-09272024-105305
Titolo
Predicting yesterday a Dynamic Factor Model for nowcasting
Dipartimento
ECONOMIA E MANAGEMENT
Corso di studi
ECONOMICS
Relatori
relatore Prof. Corsi, Fulvio
Parole chiave
  • dynamic factor model
  • forecasting
  • nowcasting
  • time series econometrics
Data inizio appello
16/10/2024
Consultabilità
Non consultabile
Data di rilascio
16/10/2094
Riassunto
This thesis explores the theoretical field of nowcasting, defined as the forecasting of the current state of the economy, together with its recent past and near future. The first part of the paper focuses on the analysis of the main models and estimation techniques used in the recent literature. Subsequent sections empirically evaluate the performance of a dynamic factor model estimated through various extraction techniques.
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