Geopolitical risk and energy market tail risk forecasting An explainable machine learning approach

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dc.article.end-page22en
dc.article.start-page1en
dc.citation.doi10.1016/J.JCOMM.2025.100478en
dc.contributor.authorMohammad Ashraful Ferdous Chowdhuryen
dc.contributor.authorM Abdullahen
dc.contributor.authorJoel Abakahen
dc.contributor.authorA Tiwarien
dc.date.accessioned2025-11-10T08:40:30Z
dc.facultyFACULTY OF ENGINEERING & THE BUILT ENVIRONMENTen
dc.identifier.citationWOSen
dc.identifier.issn2405-8513en
dc.identifier.urihttps://hdl.handle.net/10539/47466
dc.journal.titleGeopolitical risk and energy market tail risk forecasting An explainable machine learning approachen
dc.journal.volume39en
dc.school3.04en
dc.titleGeopolitical risk and energy market tail risk forecasting An explainable machine learning approachen
dc.typeJournal Articleen

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