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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Vydané v:	Technological forecasting & social change Ročník 215; s. 124094
Hlavní autori:	Sun, Weixin, Wang, Yong, Zhang, Li, Chen, Xihui Haviour, Hoang, Yen Hai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.06.2025
Predmet:	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
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