The power of text-based indicators in forecasting Italian economic activity
Year of publication: |
2023
|
---|---|
Authors: | Aprigliano, Valentina ; Emiliozzi, Simone ; Guaitoli, Gabriele ; Luciani, Andrea ; Marcucci, Juri ; Monteforte, Libero |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 39.2023, 2, p. 791-808
|
Subject: | Big data | BMA | Economic policy uncertainty | Forecasting | Sentiment | Text mining | Prognoseverfahren | Forecasting model | Italien | Italy | Data Mining | Data mining | Big Data | Wirtschaftspolitik | Economic policy | Wirtschaftsprognose | Economic forecast | Wirtschaftsindikator | Economic indicator | Frühindikator | Leading indicator |
-
The power of text-based indicators in forecasting the Italian economic activity
Aprigliano, Valentina, (2021)
-
News and narratives in financial systems : exploiting big data for systemic risk assessment
Nyman, Rickard, (2018)
-
Financial conditions and economic activity : insights from machine learning
Kiley, Michael T., (2020)
- More ...
-
The Power of Text-based Indicators in Forecasting the Italian Economic Activity
Aprigliano, Valentina, (2021)
-
The power of text-based indicators in forecasting the Italian economic activity
Aprigliano, Valentina, (2021)
-
News and consumer card payments
Ardizzi, Guerino, (2019)
- More ...