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...

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Bibliographic Details

Published in:	Technological forecasting & social change Vol. 215; p. 124094
Main Authors:	Sun, Weixin, Wang, Yong, Zhang, Li, Chen, Xihui Haviour, Hoang, Yen Hai
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.06.2025
Subjects:	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 Access:	Get full text
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