The application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]

Traditional valuation methods such as Net present value (NPV) underestimate the value of projects when they face flexibility, that is to say, it does not know the actions of the managers in the face of changes in market conditions. The application of real options (OR) complements the results obtaine...

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Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
spa
OAI Identifier:
oai:repository.udem.edu.co:11407/4321
Acceso en línea:
http://hdl.handle.net/11407/4321
Palabra clave:
Electricity market
Monte Carlo simulation
Real Options
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License
http://purl.org/coar/access_right/c_16ec
id REPOUDEM2_1448b232ae2ff806c120dd77138396ad
oai_identifier_str oai:repository.udem.edu.co:11407/4321
network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
dc.title.spa.fl_str_mv The application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]
title The application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]
spellingShingle The application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]
Electricity market
Monte Carlo simulation
Real Options
title_short The application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]
title_full The application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]
title_fullStr The application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]
title_full_unstemmed The application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]
title_sort The application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]
dc.contributor.affiliation.spa.fl_str_mv Arango, M.A.A., Facultad de Ingenierías, Universidad de Medellín/ Universidad Nacional de, Colombia, Medellín, Colombia
Botero, S.B., Facultad de Minas, Universidad Nacional de Colombia, Medellín, Colombia
dc.subject.keyword.eng.fl_str_mv Electricity market
Monte Carlo simulation
Real Options
topic Electricity market
Monte Carlo simulation
Real Options
description Traditional valuation methods such as Net present value (NPV) underestimate the value of projects when they face flexibility, that is to say, it does not know the actions of the managers in the face of changes in market conditions. The application of real options (OR) complements the results obtained by traditional methods, avoiding the possible underestimation of the value of investment projects. The Monte Carlo simulation used in the estimation of the OR opens the possibility of deriving the value of the option using empirical distributions on the returns of the underlying generating a series of trajectories, broadening the spectrum for the electricity market investor. © 2017 AISTI.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2017-12-19T19:36:47Z
dc.date.available.none.fl_str_mv 2017-12-19T19:36:47Z
dc.date.created.none.fl_str_mv 2017
dc.type.eng.fl_str_mv Conference Paper
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dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.identifier.isbn.none.fl_str_mv 9789899843479
dc.identifier.issn.none.fl_str_mv 21660727
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/4321
dc.identifier.doi.none.fl_str_mv 10.23919/CISTI.2017.7975807
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad de Medellín
dc.identifier.instname.spa.fl_str_mv instname:Universidad de Medellín
identifier_str_mv 9789899843479
21660727
10.23919/CISTI.2017.7975807
reponame:Repositorio Institucional Universidad de Medellín
instname:Universidad de Medellín
url http://hdl.handle.net/11407/4321
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.isversionof.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027060175&doi=10.23919%2fCISTI.2017.7975807&partnerID=40&md5=d07fa7c84e5f991069e20cb18e9cc524
dc.relation.ispartofes.spa.fl_str_mv Iberian Conference on Information Systems and Technologies, CISTI
dc.relation.references.spa.fl_str_mv Arango, A., Arroyave, O., Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: un contraste entre modelos de volatilidad (2016) Rev. Métodos Cuantitativos para la Econ. y la Empres., (22)
Arango, M.A., Model risk assessment projects in thermal power generation (2016) Rev. Espac., 37 (9), p. 26
Black, F., Scholes, M., (2014) The Pricing of Options and Corporate Liabilities, 81 (3). , Chicago
Cox, J.C., Ross, S.A., (2000) Option Pricing: A Simplified Approach
Vithayasrichareon, P., MacGill, I.F., A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries (2012) Energy Policy, 41, pp. 374-392. , Feb
Fernandes, B., Cunha, J., Ferreira, P., The use of real options approach in energy sector investments (2011) Renew. Sustain. Energy Rev., 15 (9), pp. 4491-4497. , Dec
Zhang, X., Wang, X., Chen, J., Xie, X., Wang, K., Wei, Y., A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties (2014) Appl. Energy, 113, pp. 1059-1067. , Jan
Martínez Ceseña E, A., Mutale, J., Rivas-Dávalos, F., Real options theory applied to electricity generation projects: A review (2013) Renew. Sustain. Energy Rev., 19, pp. 573-581. , Mar
Jain, S., Roelofs, F., Oosterlee, C.W., Decision-support tool for assessing future nuclear reactor generation portfolios (2014) Energy Econ., 44, pp. 99-112. , Jul
Dixit, A., Pindyck, R.I., (1993) Lnvestment under Uncertainty, , New Jersey
Santos, L., Soares, I., Mendes, C., Ferreira, P., Real options versus traditional methods to assess renewable energy projects (2014) Renew. Energy, 68, pp. 588-594. , Aug
Bailey, W., Bhandari, A., Faiz, S., Srinivasan, S., Weeds, H., Valoración de las opciones reales Los directivos de las empresas generalmente tienen flexibilidad respecto de la (2004) Oilf. Rev., pp. 4-19
Zambujal-Oliveira, J., Investments in combined cycle natural gasfired systems: A real options analysis (2013) Int. J. Electr. Power Energy Syst., 49, pp. 1-7. , Jul
Lee, S.-C., Using real option analysis for highly uncertain technology investments: The case of wind energy technology (2011) Renew. Sustain. Energy Rev., 15 (9), pp. 4443-4450. , Dec
(2005) Costos Indicativos de Generación Electrica en Colombia, , Upme and (Unidad de Planeación Minero Energética. Ministerio de Minas y Energía). Colombia
(2016) Índice de Precios Al Consumidor, Serie de Empalme 2001-2016., , DANE (Departamento Administrativo Nacional de Estadística)
(2016) ELÉCTRICA y POTENCIA MÁXIMA en Colombia Revisión Junio de 2016, , (Unidad de Planeación Minero Energética) Upme
Rodas, Y., Arango, M.A., Optimización de la estructura de costos para la generación de energía hidroeléctrica: Una aplicación del modelo black litterman (2017) Rev. Espac., , in press
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rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.spa.fl_str_mv IEEE Computer Society
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingenierías
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
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spelling 2017-12-19T19:36:47Z2017-12-19T19:36:47Z2017978989984347921660727http://hdl.handle.net/11407/432110.23919/CISTI.2017.7975807reponame:Repositorio Institucional Universidad de Medellíninstname:Universidad de MedellínTraditional valuation methods such as Net present value (NPV) underestimate the value of projects when they face flexibility, that is to say, it does not know the actions of the managers in the face of changes in market conditions. The application of real options (OR) complements the results obtained by traditional methods, avoiding the possible underestimation of the value of investment projects. The Monte Carlo simulation used in the estimation of the OR opens the possibility of deriving the value of the option using empirical distributions on the returns of the underlying generating a series of trajectories, broadening the spectrum for the electricity market investor. © 2017 AISTI.spaIEEE Computer SocietyFacultad de Ingenieríashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85027060175&doi=10.23919%2fCISTI.2017.7975807&partnerID=40&md5=d07fa7c84e5f991069e20cb18e9cc524Iberian Conference on Information Systems and Technologies, CISTIArango, A., Arroyave, O., Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: un contraste entre modelos de volatilidad (2016) Rev. Métodos Cuantitativos para la Econ. y la Empres., (22)Arango, M.A., Model risk assessment projects in thermal power generation (2016) Rev. Espac., 37 (9), p. 26Black, F., Scholes, M., (2014) The Pricing of Options and Corporate Liabilities, 81 (3). , ChicagoCox, J.C., Ross, S.A., (2000) Option Pricing: A Simplified ApproachVithayasrichareon, P., MacGill, I.F., A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries (2012) Energy Policy, 41, pp. 374-392. , FebFernandes, B., Cunha, J., Ferreira, P., The use of real options approach in energy sector investments (2011) Renew. Sustain. Energy Rev., 15 (9), pp. 4491-4497. , DecZhang, X., Wang, X., Chen, J., Xie, X., Wang, K., Wei, Y., A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties (2014) Appl. Energy, 113, pp. 1059-1067. , JanMartínez Ceseña E, A., Mutale, J., Rivas-Dávalos, F., Real options theory applied to electricity generation projects: A review (2013) Renew. Sustain. Energy Rev., 19, pp. 573-581. , MarJain, S., Roelofs, F., Oosterlee, C.W., Decision-support tool for assessing future nuclear reactor generation portfolios (2014) Energy Econ., 44, pp. 99-112. , JulDixit, A., Pindyck, R.I., (1993) Lnvestment under Uncertainty, , New JerseySantos, L., Soares, I., Mendes, C., Ferreira, P., Real options versus traditional methods to assess renewable energy projects (2014) Renew. Energy, 68, pp. 588-594. , AugBailey, W., Bhandari, A., Faiz, S., Srinivasan, S., Weeds, H., Valoración de las opciones reales Los directivos de las empresas generalmente tienen flexibilidad respecto de la (2004) Oilf. Rev., pp. 4-19Zambujal-Oliveira, J., Investments in combined cycle natural gasfired systems: A real options analysis (2013) Int. J. Electr. Power Energy Syst., 49, pp. 1-7. , JulLee, S.-C., Using real option analysis for highly uncertain technology investments: The case of wind energy technology (2011) Renew. Sustain. Energy Rev., 15 (9), pp. 4443-4450. , Dec(2005) Costos Indicativos de Generación Electrica en Colombia, , Upme and (Unidad de Planeación Minero Energética. Ministerio de Minas y Energía). Colombia(2016) Índice de Precios Al Consumidor, Serie de Empalme 2001-2016., , DANE (Departamento Administrativo Nacional de Estadística)(2016) ELÉCTRICA y POTENCIA MÁXIMA en Colombia Revisión Junio de 2016, , (Unidad de Planeación Minero Energética) UpmeRodas, Y., Arango, M.A., Optimización de la estructura de costos para la generación de energía hidroeléctrica: Una aplicación del modelo black litterman (2017) Rev. Espac., , in pressScopusThe application of real options as a tool for decision-making in the electricity market [La aplicación de opciones reales como herramienta de toma de decisiones en el mercado de electricidad]Conference Paperinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fArango, M.A.A., Facultad de Ingenierías, Universidad de Medellín/ Universidad Nacional de, Colombia, Medellín, ColombiaBotero, S.B., Facultad de Minas, Universidad Nacional de Colombia, Medellín, ColombiaArango M.A.A.Botero S.B.Facultad de Ingenierías, Universidad de Medellín/ Universidad Nacional de, Colombia, Medellín, ColombiaFacultad de Minas, Universidad Nacional de Colombia, Medellín, ColombiaElectricity marketMonte Carlo simulationReal OptionsTraditional valuation methods such as Net present value (NPV) underestimate the value of projects when they face flexibility, that is to say, it does not know the actions of the managers in the face of changes in market conditions. The application of real options (OR) complements the results obtained by traditional methods, avoiding the possible underestimation of the value of investment projects. The Monte Carlo simulation used in the estimation of the OR opens the possibility of deriving the value of the option using empirical distributions on the returns of the underlying generating a series of trajectories, broadening the spectrum for the electricity market investor. © 2017 AISTI.http://purl.org/coar/access_right/c_16ec11407/4321oai:repository.udem.edu.co:11407/43212020-05-27 18:30:17.376Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co