Forecasting Dynamic Correlations Between Carbon, Energy, and Stock Markets Using a BOHB-Optimized Multivariable Graph Neural Network

Accurately forecasting the dynamic linkages among carbon, energy, and stock markets is essential for effective risk management and the design of energy transition strategies. This study proposes a BOHB-optimized Multivariable Graph Neural Network (BOHB-MSGNN) framework to forecast dynamic correlatio...

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Detalhes bibliográficos

Principais autores:	Qianli Ma, Meng Han
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-01-01
coleção:	Mathematics
Assuntos:	carbon market energy market stock market dynamic correlations graph neural network
Acesso em linha:	https://www.mdpi.com/2227-7390/14/1/171
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