Analysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]

The importance of the electricity sector in the growth of economies encourages the study of the variables that determine the implementation of new investment projects in the sector. The barriers in the availability of fuels result in increased uncertainty, becoming a key issue in making decisions in...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
spa
OAI Identifier:
oai:repository.udem.edu.co:11407/3148
Acceso en línea:
http://hdl.handle.net/11407/3148
Palabra clave:
Econometric modeling
Energy markets
Rights
restrictedAccess
License
http://purl.org/coar/access_right/c_16ec
id REPOUDEM2_5d0c0668e3e68c7042012c6e1fbe7e25
oai_identifier_str oai:repository.udem.edu.co:11407/3148
network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
spelling 2017-05-12T16:05:56Z2017-05-12T16:05:56Z20161886516Xhttp://hdl.handle.net/11407/3148The importance of the electricity sector in the growth of economies encourages the study of the variables that determine the implementation of new investment projects in the sector. The barriers in the availability of fuels result in increased uncertainty, becoming a key issue in making decisions in the markets for power generation. Regarding this, a contrast is performed between a deterministic volatility model and two parametric stochastic volatility models, GARCH and EWMA, applied to the price of fossil fuels, in order to identify trade off between cost and risk faced by generators in an energy matrix comprised of technologies based on coal, gas and oil. The three models allow to compare the empirical results for covariances obtained through Pearson's methodology, EWMA and Vech. Evidence suggests that, in a context where it is necessary to select one of the fuels, coal has less exposure and less variation in price, implying a lower discharge in generation markets. However, having the energy matrix formed by the three fossil fuels allows a lower risk exposure to the global market.spaUniversidad Pablo de Olavidehttps://www.upo.es/revistas/index.php/RevMetCuant/article/view/2347Revista de Metodos Cuantitativos para la Economia y la EmpresaScopusEconometric modelingEnergy marketsAnalysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]Articleinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecMónica Andrea, A.A., Universidad de Medellín, Colombia, Universidad Nacional de Colombia, ColombiaSantiago, A.O., Universidad Medellín, Colombia, Global Securities, ColombiaMónica Andrea A.A.Santiago A.O.11407/3148oai:repository.udem.edu.co:11407/31482020-05-27 19:04:25.288Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.spa.fl_str_mv Analysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]
title Analysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]
spellingShingle Analysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]
Econometric modeling
Energy markets
title_short Analysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]
title_full Analysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]
title_fullStr Analysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]
title_full_unstemmed Analysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]
title_sort Analysis of fossil fuels in the market for electricity generation in Colombia: A contrast between models of volatility [Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: Un contraste entre modelos de volatilidad]
dc.contributor.affiliation.spa.fl_str_mv Mónica Andrea, A.A., Universidad de Medellín, Colombia, Universidad Nacional de Colombia, Colombia
Santiago, A.O., Universidad Medellín, Colombia, Global Securities, Colombia
dc.subject.spa.fl_str_mv Econometric modeling
Energy markets
topic Econometric modeling
Energy markets
description The importance of the electricity sector in the growth of economies encourages the study of the variables that determine the implementation of new investment projects in the sector. The barriers in the availability of fuels result in increased uncertainty, becoming a key issue in making decisions in the markets for power generation. Regarding this, a contrast is performed between a deterministic volatility model and two parametric stochastic volatility models, GARCH and EWMA, applied to the price of fossil fuels, in order to identify trade off between cost and risk faced by generators in an energy matrix comprised of technologies based on coal, gas and oil. The three models allow to compare the empirical results for covariances obtained through Pearson's methodology, EWMA and Vech. Evidence suggests that, in a context where it is necessary to select one of the fuels, coal has less exposure and less variation in price, implying a lower discharge in generation markets. However, having the energy matrix formed by the three fossil fuels allows a lower risk exposure to the global market.
publishDate 2016
dc.date.created.none.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2017-05-12T16:05:56Z
dc.date.available.none.fl_str_mv 2017-05-12T16:05:56Z
dc.type.eng.fl_str_mv Article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.issn.none.fl_str_mv 1886516X
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/3148
identifier_str_mv 1886516X
url http://hdl.handle.net/11407/3148
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.isversionof.spa.fl_str_mv https://www.upo.es/revistas/index.php/RevMetCuant/article/view/2347
dc.relation.ispartofes.spa.fl_str_mv Revista de Metodos Cuantitativos para la Economia y la Empresa
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.spa.fl_str_mv Universidad Pablo de Olavide
dc.source.spa.fl_str_mv Scopus
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
_version_ 1814159243350114304