Recent movement of oil prices and future scenarios
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Nova Economia (Online) |
Texto Completo: | https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4159 |
Resumo: | The recent movement of oil prices has brought many forecasts about what is coming in the near future. This is natural since the plunge in prices has been dramatic after 2014 and oil is an essential source of energy worldwide. This paper examines the probabilities of spot price scenarios. We model prices through stochastic processes focusing on the Schwartz-Smith model. The calibration is based on the term structure of future prices. Since the conditional distribution is log-normal we define the probability of a certain value of the spot price in a given time horizon. We found that the recovery of crude oil prices will be slow in the next four years. Moreover, the scenario of prices under US$ 20/barrel has the same probability as being greater than US$ 50/barrel. The methodology has many applications, mainly for government planning and for oil companies in their capital budget decisions. |
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Recent movement of oil prices and future scenariosMovimentos recentes dos preços do petróleo e os cenários futurosThe recent movement of oil prices has brought many forecasts about what is coming in the near future. This is natural since the plunge in prices has been dramatic after 2014 and oil is an essential source of energy worldwide. This paper examines the probabilities of spot price scenarios. We model prices through stochastic processes focusing on the Schwartz-Smith model. The calibration is based on the term structure of future prices. Since the conditional distribution is log-normal we define the probability of a certain value of the spot price in a given time horizon. We found that the recovery of crude oil prices will be slow in the next four years. Moreover, the scenario of prices under US$ 20/barrel has the same probability as being greater than US$ 50/barrel. The methodology has many applications, mainly for government planning and for oil companies in their capital budget decisions.Os movimentos recentes dos preços do petróleo trouxeram várias especulações sobre as previsões futuras. Este é um fato normal pois o petróleo é a fonte de energia mais relevante no mundo e teve uma enorme queda em seus preços após 2014. Este artigo examina as probabilidades de cenários para o preço à vista. Os preços foram modelados por processos estocásticos usando o modelo de Schwartz e Smith. A calibração do modelo é baseada na estrutura a termo dos preços futuros. A partir do fato de que a distribuição do preço à vista é log-normal, definimos as probabilidades de valores do preço à vista para diferentes horizontes de tempo. Concluímos que a recuperação dos preços será lenta nos próximos quato anos. Além disso, a probabilidade de preços inferiores a US$ 20/barril é a mesma que a probabilidade de preços superiores a US$ 50/barril. A metodologia tem várias aplicações práticas para autoridades no planejamento do setor de energia e para empresas de petróleo no processo de aprovação de projetos de investimento.Departamento de Ciências Econômicas da UFMG2019-05-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4159Nova Economia; Vol. 29 No. 1 (2019); 223-248Nova Economia; v. 29 n. 1 (2019); 223-2481980-53810103-6351reponame:Nova Economia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGenghttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4159/2867Copyright (c) 2018 Nova Economiainfo:eu-repo/semantics/openAccessAiube, Fernando Antônio LucenaLevy, Ariel2020-10-04T22:23:34Zoai:ojs.pkp.sfu.ca:article/4159Revistahttps://revistas.face.ufmg.br/index.php/novaeconomiaPUBhttps://revistas.face.ufmg.br/index.php/novaeconomia/oai||ne@face.ufmg.br1980-53810103-6351opendoar:2020-10-04T22:23:34Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Recent movement of oil prices and future scenarios Movimentos recentes dos preços do petróleo e os cenários futuros |
title |
Recent movement of oil prices and future scenarios |
spellingShingle |
Recent movement of oil prices and future scenarios Aiube, Fernando Antônio Lucena |
title_short |
Recent movement of oil prices and future scenarios |
title_full |
Recent movement of oil prices and future scenarios |
title_fullStr |
Recent movement of oil prices and future scenarios |
title_full_unstemmed |
Recent movement of oil prices and future scenarios |
title_sort |
Recent movement of oil prices and future scenarios |
author |
Aiube, Fernando Antônio Lucena |
author_facet |
Aiube, Fernando Antônio Lucena Levy, Ariel |
author_role |
author |
author2 |
Levy, Ariel |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Aiube, Fernando Antônio Lucena Levy, Ariel |
description |
The recent movement of oil prices has brought many forecasts about what is coming in the near future. This is natural since the plunge in prices has been dramatic after 2014 and oil is an essential source of energy worldwide. This paper examines the probabilities of spot price scenarios. We model prices through stochastic processes focusing on the Schwartz-Smith model. The calibration is based on the term structure of future prices. Since the conditional distribution is log-normal we define the probability of a certain value of the spot price in a given time horizon. We found that the recovery of crude oil prices will be slow in the next four years. Moreover, the scenario of prices under US$ 20/barrel has the same probability as being greater than US$ 50/barrel. The methodology has many applications, mainly for government planning and for oil companies in their capital budget decisions. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-10 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4159 |
url |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4159 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/4159/2867 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Nova Economia info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Nova Economia |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Departamento de Ciências Econômicas da UFMG |
publisher.none.fl_str_mv |
Departamento de Ciências Econômicas da UFMG |
dc.source.none.fl_str_mv |
Nova Economia; Vol. 29 No. 1 (2019); 223-248 Nova Economia; v. 29 n. 1 (2019); 223-248 1980-5381 0103-6351 reponame:Nova Economia (Online) instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Nova Economia (Online) |
collection |
Nova Economia (Online) |
repository.name.fl_str_mv |
Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
||ne@face.ufmg.br |
_version_ |
1799711059750158336 |