Investment decisions in an oil refinery in Brazil under a real option approach
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/789 |
Resumo: | Goal: The objective of this article is twofold: (i) analyze the investment in a new refinery in Brazil and identify the optimal moment to invest; and (ii) model the crack spread adjusted to the Brazilian market. Design / Methodology / Approach: The main uncertainties given by the crack spread and the foreign exchange rate were modeled as a continuous mean reversion model and geometric Brownian motion, respectively. The project was valued based on a real-option approach, including the option to postpone and the option to temporarily shut down. The first was assessed from analytical solution of the differential equation, while the latter was obtained from Monte Carlo simulation. Results: The investment decision changes depending on the expiration date of the postponement option and the stochastic treatment of the initial investment. The temporary shutdown option increases the value of the refinery and may change the decision of postponement. Limitations of the investigation: The crack spread was modeled based on international market because of limited availability of data from the Brazilian market. Additionally, results are dependent on the uncertainties and flexibilities modeled. Practical implications: The analysis comprising both options is especially relevant because there are refinery projects discontinued in Brazil, and the country is an oil products’ importer. Originality / Value: The paper contributes with an analysis in the refining industry considering the optimal moment to invest based on the interaction of two different options. Especially original is the crack spread modeling adapted to the Brazilian market. |
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Brazilian Journal of Operations & Production Management (Online) |
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Investment decisions in an oil refinery in Brazil under a real option approachInvestment AnalysisReal Options TheoryStochastic ProcessRefineryCrack SpreadGoal: The objective of this article is twofold: (i) analyze the investment in a new refinery in Brazil and identify the optimal moment to invest; and (ii) model the crack spread adjusted to the Brazilian market. Design / Methodology / Approach: The main uncertainties given by the crack spread and the foreign exchange rate were modeled as a continuous mean reversion model and geometric Brownian motion, respectively. The project was valued based on a real-option approach, including the option to postpone and the option to temporarily shut down. The first was assessed from analytical solution of the differential equation, while the latter was obtained from Monte Carlo simulation. Results: The investment decision changes depending on the expiration date of the postponement option and the stochastic treatment of the initial investment. The temporary shutdown option increases the value of the refinery and may change the decision of postponement. Limitations of the investigation: The crack spread was modeled based on international market because of limited availability of data from the Brazilian market. Additionally, results are dependent on the uncertainties and flexibilities modeled. Practical implications: The analysis comprising both options is especially relevant because there are refinery projects discontinued in Brazil, and the country is an oil products’ importer. Originality / Value: The paper contributes with an analysis in the refining industry considering the optimal moment to invest based on the interaction of two different options. Especially original is the crack spread modeling adapted to the Brazilian market.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2019-08-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articletext/htmlapplication/pdfhttps://bjopm.org.br/bjopm/article/view/78910.14488/BJOPM.2019.v16.n3.a2Brazilian Journal of Operations & Production Management; Vol. 16 No. 3 (2019): September, 2019; 375-3862237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/789/851https://bjopm.org.br/bjopm/article/view/789/878Copyright (c) 2019 Brazilian Journal of Operations & Production Managementinfo:eu-repo/semantics/openAccessLopes, Carolina de CastroBlank, Frances FischbergThomé, Antonio Marcio TavaresValladão, Davi Michel2021-07-13T14:14:19Zoai:ojs.bjopm.org.br:article/789Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:21.729573Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Investment decisions in an oil refinery in Brazil under a real option approach |
title |
Investment decisions in an oil refinery in Brazil under a real option approach |
spellingShingle |
Investment decisions in an oil refinery in Brazil under a real option approach Lopes, Carolina de Castro Investment Analysis Real Options Theory Stochastic Process Refinery Crack Spread |
title_short |
Investment decisions in an oil refinery in Brazil under a real option approach |
title_full |
Investment decisions in an oil refinery in Brazil under a real option approach |
title_fullStr |
Investment decisions in an oil refinery in Brazil under a real option approach |
title_full_unstemmed |
Investment decisions in an oil refinery in Brazil under a real option approach |
title_sort |
Investment decisions in an oil refinery in Brazil under a real option approach |
author |
Lopes, Carolina de Castro |
author_facet |
Lopes, Carolina de Castro Blank, Frances Fischberg Thomé, Antonio Marcio Tavares Valladão, Davi Michel |
author_role |
author |
author2 |
Blank, Frances Fischberg Thomé, Antonio Marcio Tavares Valladão, Davi Michel |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Lopes, Carolina de Castro Blank, Frances Fischberg Thomé, Antonio Marcio Tavares Valladão, Davi Michel |
dc.subject.por.fl_str_mv |
Investment Analysis Real Options Theory Stochastic Process Refinery Crack Spread |
topic |
Investment Analysis Real Options Theory Stochastic Process Refinery Crack Spread |
description |
Goal: The objective of this article is twofold: (i) analyze the investment in a new refinery in Brazil and identify the optimal moment to invest; and (ii) model the crack spread adjusted to the Brazilian market. Design / Methodology / Approach: The main uncertainties given by the crack spread and the foreign exchange rate were modeled as a continuous mean reversion model and geometric Brownian motion, respectively. The project was valued based on a real-option approach, including the option to postpone and the option to temporarily shut down. The first was assessed from analytical solution of the differential equation, while the latter was obtained from Monte Carlo simulation. Results: The investment decision changes depending on the expiration date of the postponement option and the stochastic treatment of the initial investment. The temporary shutdown option increases the value of the refinery and may change the decision of postponement. Limitations of the investigation: The crack spread was modeled based on international market because of limited availability of data from the Brazilian market. Additionally, results are dependent on the uncertainties and flexibilities modeled. Practical implications: The analysis comprising both options is especially relevant because there are refinery projects discontinued in Brazil, and the country is an oil products’ importer. Originality / Value: The paper contributes with an analysis in the refining industry considering the optimal moment to invest based on the interaction of two different options. Especially original is the crack spread modeling adapted to the Brazilian market. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-08-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/789 10.14488/BJOPM.2019.v16.n3.a2 |
url |
https://bjopm.org.br/bjopm/article/view/789 |
identifier_str_mv |
10.14488/BJOPM.2019.v16.n3.a2 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/789/851 https://bjopm.org.br/bjopm/article/view/789/878 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Brazilian Journal of Operations & Production Management info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Brazilian Journal of Operations & Production Management |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 16 No. 3 (2019): September, 2019; 375-386 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051461394235392 |