OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression
Descripción del Articulo
Purpose: This paper aims to provide an important perspective to the predictive capacity of Organization of the Petroleum Exporting Countries (OPEC) meeting dates and production announcements for energy futures (crude oil West Texas Intermediate (WTI), gasoline reformulated gasoline blendstock for ox...
Autores: | , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Universidad ESAN |
Repositorio: | ESAN-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.esan.edu.pe:20.500.12640/2782 |
Enlace del recurso: | https://revistas.esan.edu.pe/index.php/jefas/article/view/42 https://hdl.handle.net/20.500.12640/2782 https://doi.org/10.1108/JEFAS-05-2019-0063 |
Nivel de acceso: | acceso abierto |
Materia: | Energy futures markets Returns and volatility OPEC announcements Quantile regression Mercados de futuros de energía Rentabilidad y volatilidad Anuncios de la OPEP Regresión cuantil https://purl.org/pe-repo/ocde/ford#5.02.04 |
id |
ESAN_705bd836ae4f9cde546cffec5bc8f78a |
---|---|
oai_identifier_str |
oai:repositorio.esan.edu.pe:20.500.12640/2782 |
network_acronym_str |
ESAN |
network_name_str |
ESAN-Institucional |
repository_id_str |
4835 |
dc.title.en_EN.fl_str_mv |
OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression |
title |
OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression |
spellingShingle |
OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression Derbali, Abdelkader Energy futures markets Returns and volatility OPEC announcements Quantile regression Mercados de futuros de energía Rentabilidad y volatilidad Anuncios de la OPEP Regresión cuantil https://purl.org/pe-repo/ocde/ford#5.02.04 |
title_short |
OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression |
title_full |
OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression |
title_fullStr |
OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression |
title_full_unstemmed |
OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression |
title_sort |
OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression |
author |
Derbali, Abdelkader |
author_facet |
Derbali, Abdelkader Wu, Shan Jamel, Lamia |
author_role |
author |
author2 |
Wu, Shan Jamel, Lamia |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Derbali, Abdelkader Wu, Shan Jamel, Lamia |
dc.subject.en_EN.fl_str_mv |
Energy futures markets Returns and volatility OPEC announcements Quantile regression |
topic |
Energy futures markets Returns and volatility OPEC announcements Quantile regression Mercados de futuros de energía Rentabilidad y volatilidad Anuncios de la OPEP Regresión cuantil https://purl.org/pe-repo/ocde/ford#5.02.04 |
dc.subject.es_ES.fl_str_mv |
Mercados de futuros de energía Rentabilidad y volatilidad Anuncios de la OPEP Regresión cuantil |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#5.02.04 |
description |
Purpose: This paper aims to provide an important perspective to the predictive capacity of Organization of the Petroleum Exporting Countries (OPEC) meeting dates and production announcements for energy futures (crude oil West Texas Intermediate (WTI), gasoline reformulated gasoline blendstock for oxygen blending (RBOB), Brent oil, London gas oil, natural gas and heating oil) market returns and volatilities. Design/methodology/approach: To examine the impact of OPEC news on energy futures market returns and volatilities, the authors use a conditional quantile regression methodology during the period from April 01, 2013 to June 30, 2017. Findings: From the empirical findings, the authors show a conditional dependence between energy futures returns and OPEC-based predictors; hence, the authors can find clear the significance of relationship in the process of financialization of the OPEC announcements and energy futures in the case of this paper. From the quantile-causality test, the authors find that the effect of OPEC news is important to energy futures. Specifically, OPEC announcements dates predict the quantiles of the conditional distribution of energy futures market returns. Originality/value: The authors confirm the presence of unidirectional nexus between OPEC news and energy commodities futures in the long term. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2021-12-10T23:11:28Z |
dc.date.available.none.fl_str_mv |
2021-12-10T23:11:28Z |
dc.date.issued.fl_str_mv |
2020-12-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.other.none.fl_str_mv |
Artículo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/42 |
dc.identifier.citation.none.fl_str_mv |
Derbali, A., Wu, S., & Jamel, L. (2020). OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression. Journal of Economics, Finance and Administrative Science, 25(50), 239-259. https://doi.org/10.1108/JEFAS-05-2019-0063 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12640/2782 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1108/JEFAS-05-2019-0063 |
url |
https://revistas.esan.edu.pe/index.php/jefas/article/view/42 https://hdl.handle.net/20.500.12640/2782 https://doi.org/10.1108/JEFAS-05-2019-0063 |
identifier_str_mv |
Derbali, A., Wu, S., & Jamel, L. (2020). OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression. Journal of Economics, Finance and Administrative Science, 25(50), 239-259. https://doi.org/10.1108/JEFAS-05-2019-0063 |
dc.language.none.fl_str_mv |
Inglés |
dc.language.iso.none.fl_str_mv |
eng |
language_invalid_str_mv |
Inglés |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
urn:issn:2218-0648 |
dc.relation.uri.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/42/27 |
dc.rights.en.fl_str_mv |
Attribution 4.0 International |
dc.rights.es_ES.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
rights_invalid_str_mv |
Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.es_ES.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad ESAN. ESAN Ediciones |
dc.publisher.country.none.fl_str_mv |
PE |
publisher.none.fl_str_mv |
Universidad ESAN. ESAN Ediciones |
dc.source.none.fl_str_mv |
reponame:ESAN-Institucional instname:Universidad ESAN instacron:ESAN |
instname_str |
Universidad ESAN |
instacron_str |
ESAN |
institution |
ESAN |
reponame_str |
ESAN-Institucional |
collection |
ESAN-Institucional |
bitstream.url.fl_str_mv |
https://repositorio.esan.edu.pe/bitstreams/96812f9d-eb39-4622-99f1-559b8af5b216/download https://repositorio.esan.edu.pe/bitstreams/d3e9b837-75f8-47b4-8e81-f0392a5265c8/download https://repositorio.esan.edu.pe/bitstreams/3f4c6996-c400-417c-8701-3853ebd05061/download https://repositorio.esan.edu.pe/bitstreams/e11bd4a1-f45d-4eff-8653-e1b0ae078698/download |
bitstream.checksum.fl_str_mv |
44e208e93ba6ad0d450d61c61c7ab5a8 0ef67aa1aff43e9c8405ed46c43072a8 517368d15a7a48fa261147f81a44adda e1a4e8aebe26bcf76e373d4154562389 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional ESAN |
repository.mail.fl_str_mv |
repositorio@esan.edu.pe |
_version_ |
1843261953949040640 |
spelling |
Derbali, AbdelkaderWu, ShanJamel, Lamia2021-12-10T23:11:28Z2021-12-10T23:11:28Z2020-12-01https://revistas.esan.edu.pe/index.php/jefas/article/view/42Derbali, A., Wu, S., & Jamel, L. (2020). OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regression. Journal of Economics, Finance and Administrative Science, 25(50), 239-259. https://doi.org/10.1108/JEFAS-05-2019-0063https://hdl.handle.net/20.500.12640/2782https://doi.org/10.1108/JEFAS-05-2019-0063Purpose: This paper aims to provide an important perspective to the predictive capacity of Organization of the Petroleum Exporting Countries (OPEC) meeting dates and production announcements for energy futures (crude oil West Texas Intermediate (WTI), gasoline reformulated gasoline blendstock for oxygen blending (RBOB), Brent oil, London gas oil, natural gas and heating oil) market returns and volatilities. Design/methodology/approach: To examine the impact of OPEC news on energy futures market returns and volatilities, the authors use a conditional quantile regression methodology during the period from April 01, 2013 to June 30, 2017. Findings: From the empirical findings, the authors show a conditional dependence between energy futures returns and OPEC-based predictors; hence, the authors can find clear the significance of relationship in the process of financialization of the OPEC announcements and energy futures in the case of this paper. From the quantile-causality test, the authors find that the effect of OPEC news is important to energy futures. Specifically, OPEC announcements dates predict the quantiles of the conditional distribution of energy futures market returns. Originality/value: The authors confirm the presence of unidirectional nexus between OPEC news and energy commodities futures in the long term.Propósito: Este documento tiene como objetivo proporcionar una perspectiva importante sobre la capacidad de predicción de las fechas de las reuniones de la Organización de Países Exportadores de Petróleo (OPEP) y los anuncios de producción de futuros de energía (petróleo crudo West Texas Intermediate (WTI), gasolina, mezclas de gasolina reformulada para mezcla de oxígeno (RBOB), petróleo Brent, gasóleo de Londres, gas natural y gasóleo para calefacción) rentabilidades y volatilidades del mercado. Diseño/metodología/enfoque: Para examinar el impacto de las noticias de la OPEP en los rendimientos y las volatilidades del mercado de futuros de energía, los autores utilizan una metodología de regresión cuantil condicional durante el período comprendido entre el 1 de abril de 2013 y el 30 de junio de 2017. Hallazgos: A partir de los hallazgos empíricos, los autores muestran una dependencia condicional entre los rendimientos de los futuros de energía y los predictores basados en la OPEP; por lo tanto, los autores pueden encontrar clara la importancia de la relación en el proceso de financiarización de los anuncios de la OPEP y los futuros energéticos en el caso de este artículo. A partir de la prueba de causalidad cuantil, los autores encuentran que el efecto de las noticias de la OPEP es importante para los futuros energéticos. Específicamente, las fechas de los anuncios de la OPEP predicen los cuantiles de la distribución condicional de los rendimientos del mercado de futuros de energía. Originalidad/valor: Los autores confirman la presencia de un nexo unidireccional entre las noticias de la OPEP y los futuros de materias primas energéticas a largo plazo.application/pdfInglésengUniversidad ESAN. ESAN EdicionesPEurn:issn:2218-0648https://revistas.esan.edu.pe/index.php/jefas/article/view/42/27Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Energy futures marketsReturns and volatilityOPEC announcementsQuantile regressionMercados de futuros de energíaRentabilidad y volatilidadAnuncios de la OPEPRegresión cuantilhttps://purl.org/pe-repo/ocde/ford#5.02.04OPEC news and predictability of energy futures returns and volatility: evidence from a conditional quantile regressioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículoreponame:ESAN-Institucionalinstname:Universidad ESANinstacron:ESANJournal of Economics, Finance and Administrative Science2595023925Acceso abiertoTHUMBNAIL50.jpg50.jpgimage/jpeg67547https://repositorio.esan.edu.pe/bitstreams/96812f9d-eb39-4622-99f1-559b8af5b216/download44e208e93ba6ad0d450d61c61c7ab5a8MD51falseAnonymousREADJEFAS-50-2020-239-259.pdf.jpgJEFAS-50-2020-239-259.pdf.jpgGenerated Thumbnailimage/jpeg4762https://repositorio.esan.edu.pe/bitstreams/d3e9b837-75f8-47b4-8e81-f0392a5265c8/download0ef67aa1aff43e9c8405ed46c43072a8MD54falseAnonymousREADORIGINALJEFAS-50-2020-239-259.pdfTexto completoapplication/pdf1493880https://repositorio.esan.edu.pe/bitstreams/3f4c6996-c400-417c-8701-3853ebd05061/download517368d15a7a48fa261147f81a44addaMD52trueAnonymousREADTEXTJEFAS-50-2020-239-259.pdf.txtJEFAS-50-2020-239-259.pdf.txtExtracted texttext/plain48696https://repositorio.esan.edu.pe/bitstreams/e11bd4a1-f45d-4eff-8653-e1b0ae078698/downloade1a4e8aebe26bcf76e373d4154562389MD53falseAnonymousREAD20.500.12640/2782oai:repositorio.esan.edu.pe:20.500.12640/27822025-07-09 09:30:17.916https://creativecommons.org/licenses/by/4.0/Attribution 4.0 Internationalopen.accesshttps://repositorio.esan.edu.peRepositorio Institucional ESANrepositorio@esan.edu.pe |
score |
13.7211075 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).