Predicting carbon and oil price returns using hybrid models based on machine and deep learning
Jesús Molina-Muñoz, Andrés Mora-Valencia, Javier Perote
| Year of publication: |
2024
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|---|---|
| Authors: | Molina-Muñoz, Jesús ; Mora-Valencia, Andrés ; Perote, Javier |
| Published in: |
Intelligent systems in accounting, finance & management. - New York, NY [u.a.] : Wiley, ISSN 2160-0074, ZDB-ID 2379344-2. - Vol. 31.2024, 2, Art.-No. e1563, p. 1-14
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| Subject: | carbon prices | hybrid models | non-linear time series | oil prices | Ölpreis | Oil price | Treibhausgas-Emissionen | Greenhouse gas emissions | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Theorie | Theory | Emissionshandel | Emissions trading |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/isaf.1563 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015099032