Geopolitical risk and energy market tail risk forecasting : an explainable machine learning approach
Mohammad Ashraful Ferdous Chowdhury, Mohammad Abdullah, Emmanuel Joel Aikins Abakah, Aviral Kumar Tiwari
| Year of publication: |
2025
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|---|---|
| Authors: | Chowdhury, Mohammad Ashraful Ferdous ; Abdullah, Mohammad ; Abakah, Emmanuel Joel Aikins ; Tiwari, Aviral Kumar |
| Published in: |
Journal of commodity markets : JCM. - Amsterdam : Elsevier, ISSN 2405-8505, ZDB-ID 2851869-X. - Vol. 39.2025, Art.-No. 100478, p. 1-22
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| Subject: | Energy market | Explainable AI | Forecasting | Geopolitical risk | Machine learning | Künstliche Intelligenz | Artificial intelligence | Energiemarkt | Prognoseverfahren | Forecasting model | Geopolitik | Geopolitics | Risiko | Risk | Prognose | Forecast | Welt | World |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jcomm.2025.100478 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015484695