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

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Title: Forecasting Dynamic Correlations Between Carbon, Energy, and Stock Markets Using a BOHB-Optimized Multivariable Graph Neural Network.
Authors: Ma, Qianli1,2 (AUTHOR), Han, Meng1,2 (AUTHOR) m.han@bnu.edu.cn
Source: Mathematics (2227-7390). Jan2026, Vol. 14 Issue 1, p171. 30p.
Database: Academic Search Ultimate
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  Data: Forecasting Dynamic Correlations Between Carbon, Energy, and Stock Markets Using a BOHB-Optimized Multivariable Graph Neural Network.
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        Value: 10.3390/math14010171
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        Text: English
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        PageCount: 30
        StartPage: 171
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      – TitleFull: Forecasting Dynamic Correlations Between Carbon, Energy, and Stock Markets Using a BOHB-Optimized Multivariable Graph Neural Network.
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            NameFull: Ma, Qianli
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              Text: Jan2026
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              Y: 2026
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