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...

Celý popis

Podrobná bibliografie

Vydáno v:	Technological forecasting & social change Ročník 215; s. 124094
Hlavní autoři:	Sun, Weixin, Wang, Yong, Zhang, Li, Chen, Xihui Haviour, Hoang, Yen Hai
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.06.2025
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!