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Black gold falls, black plague arise - An Opec crude oil price forecast using a gray prediction model

In the global economy, crude oil is the most strategic commodity, which plays an important role in determining many regional and international equations. The oil market is the most complex, turbulent, and opaque international financial market. The conditions of these financial markets are well match...

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Detalles Bibliográficos
Autores principales: Norouzi, Nima, Fani, Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480587/
http://dx.doi.org/10.1016/j.upstre.2020.100015
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author Norouzi, Nima
Fani, Maryam
author_facet Norouzi, Nima
Fani, Maryam
author_sort Norouzi, Nima
collection PubMed
description In the global economy, crude oil is the most strategic commodity, which plays an important role in determining many regional and international equations. The oil market is the most complex, turbulent, and opaque international financial market. The conditions of these financial markets are well matched to the gray analysis environment. Therefore, the researchers of the present study have proposed the gray prediction model. The results show that using the gray prediction model causes the performance to be significantly improved. The main aim of this paper is to find a model to provide clear projections for the future of oil prices.
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spelling pubmed-74805872020-09-09 Black gold falls, black plague arise - An Opec crude oil price forecast using a gray prediction model Norouzi, Nima Fani, Maryam Upstream Oil and Gas Technology Article In the global economy, crude oil is the most strategic commodity, which plays an important role in determining many regional and international equations. The oil market is the most complex, turbulent, and opaque international financial market. The conditions of these financial markets are well matched to the gray analysis environment. Therefore, the researchers of the present study have proposed the gray prediction model. The results show that using the gray prediction model causes the performance to be significantly improved. The main aim of this paper is to find a model to provide clear projections for the future of oil prices. Elsevier Ltd. 2020-10 2020-09-09 /pmc/articles/PMC7480587/ http://dx.doi.org/10.1016/j.upstre.2020.100015 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Norouzi, Nima
Fani, Maryam
Black gold falls, black plague arise - An Opec crude oil price forecast using a gray prediction model
title Black gold falls, black plague arise - An Opec crude oil price forecast using a gray prediction model
title_full Black gold falls, black plague arise - An Opec crude oil price forecast using a gray prediction model
title_fullStr Black gold falls, black plague arise - An Opec crude oil price forecast using a gray prediction model
title_full_unstemmed Black gold falls, black plague arise - An Opec crude oil price forecast using a gray prediction model
title_short Black gold falls, black plague arise - An Opec crude oil price forecast using a gray prediction model
title_sort black gold falls, black plague arise - an opec crude oil price forecast using a gray prediction model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480587/
http://dx.doi.org/10.1016/j.upstre.2020.100015
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