Enhancing economic cycle forecasting based on interpretable machine learning and news narrative sentiment

The growing prevalence of uncertainty in global events poses significant challenges to economic cycle forecasting, emphasizing the need for more robust predictive models. This study addresses this gap by developing a novel forecasting framework that integrates multiple uncertainty indices to improve...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Technological forecasting & social change Jg. 215; S. 124094
Hauptverfasser:	Sun, Weixin, Wang, Yong, Zhang, Li, Chen, Xihui Haviour, Hoang, Yen Hai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.06.2025
Schlagworte:	Economic cycle Interpretable machine learning News narrative sentiment Prediction Uncertainty indices Uncertainty indices Interpretable machine learning News narrative sentiment Prediction Economic cycle
ISSN:	0040-1625
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!