Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12323/4563
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dc.contributor.authorAlameen, Mamoon-
dc.contributor.authorAladad, Amer-
dc.contributor.authorTaheri, Reza-
dc.contributor.authorNibi, Mohamad Abdul-
dc.contributor.authorRadiy, Ali-
dc.date.accessioned2020-07-12T10:34:56Z-
dc.date.available2020-07-12T10:34:56Z-
dc.date.issued2013-09-
dc.identifier.issn2307-2466-
dc.identifier.urihttp://hdl.handle.net/20.500.12323/4563-
dc.description.abstractThe impact of oil price on social, economic, political and many other aspects of human life is quite strong and evident. However, the role playing factors affecting the price are so complex that the price prediction cannot be solely attributed to the simple well known demand-supply relationship. This paper emphasizes on midterm prediction approach rather than short or long term ones, in which a model has been proposed based on a developed algorithm. Prediction of the prices in seasonal or annual basis was performed with highly satisfactory results. Gold and USDX were employed to verify the applicability of the proposed model.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Economics, Finance and Managementen_US
dc.relation.ispartofseriesVol. 2;№ 6-
dc.subjectOil price predictionen_US
dc.subjectalgorithmen_US
dc.subjectmodelingen_US
dc.subjectsimulationen_US
dc.subjectpetroleum economyen_US
dc.titleAn Optimization Approach to Predict Crude Oil Pricesen_US
dc.typeArticleen_US
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