Predicting carbon and oil price returns using hybrid models based on machine and deep learning.

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Title: Predicting carbon and oil price returns using hybrid models based on machine and deep learning.
Authors: Molina‐Muñoz, Jesús1,2, jesus.molina@urosario.edu.co, Mora‐Valencia, Andrés3, Perote, Javier4
Source: Intelligent Systems in Accounting, Finance & Management; Jun2024, Vol. 31 Issue 2, p1-14, 14p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 178071121
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/isaf.1563
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1
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      – TitleFull: Predicting carbon and oil price returns using hybrid models based on machine and deep learning.
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            NameFull: Molina‐Muñoz, Jesús
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            NameFull: Mora‐Valencia, Andrés
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            NameFull: Perote, Javier
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            – D: 01
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              Text: Jun2024
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              Y: 2024
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              Value: 31
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            – TitleFull: Intelligent Systems in Accounting, Finance & Management
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