Do machine learning models hold the key to better money demand forecasting?
Taniya Ghosh and Sakshi Agarwal
| Year of publication: |
2022
|
|---|---|
| Authors: | Ghosh, Taniya ; Agarwal, Sakshi |
| Published in: |
Environmental, social, and governance perspectives on economic development in Asia ; part A. - Bingley, UK : emerald Publishing, ISBN 978-1-80117-595-1. - 2022, p. 21-36
|
| Subject: | Money demand | machine learning models | random forest regression | ARDL | forecasting | monetary policy | Geldnachfrage | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Geldpolitik | Monetary policy | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz im Buch ; Book section |
| Language: | English |
| Other identifiers: | 10.1108/S1571-03862021000029A017 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013197404