Analysis of Fossil Fuels in the Market for Electricity Generation in Colombia: A Contrast between Models of Volatility

Authors

  • Mónica Andrea Arango A. Universidad de Medellín Universidad Nacional de Colombia
  • Santiago Arroyave O. Universidad Medellín Global Securities

DOI:

https://doi.org/10.46661/revmetodoscuanteconempresa.2347

Keywords:

mercado energético, modelos econométricos, energy markets, econometric modeling

Abstract

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.

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References

Unidad de Planeación Minero Energética - UPME (2013). "Plan de Expansión de Referencia Generación-Transmisión 2014—2028". Bogotá: Ministerio de Minas y Energía. Disponible en http://www.upme.gov.co/Docs/Plan_Expansion/2014/Plan%20GT%202014%20-%202028_Vpreliminar.pdf.

J.P.Morgan/Reuters (1996). "RiskMetricsTM—Technical Document", 4th edition. Disponible en http://www.phy.pmf.unizg.hr/~bp/TD4ePt_5.pdf.

C. Grajales y F. Pérez (2008). "Modelos discretos y continuos para estimar la densidad de probabilidad de la volatilidad estocástica de los rendimientos de series financieras". Cuadernos de Administración, vol. 21, pp. 113-132.

A. Escudero y S. Botero (2006). "Caracterización del mercado de energía eléctrica para usuarios no regulados en Colombia". Ensayo de Economía, vol. 15, p. 55-70.

Ley 142 de 1994, de 11 de julio, por la cual se establece el régimen de los servicios públicos domiciliarios y se dictan otras disposiciones. Diario Oficial 41.433 del 11 de julio de 1994.

Ley 143 de 1994, de 11 de julio, por la cual se establece el régimen para la generación, interconexión, transmisión, distribución y comercialización de electricidad en el territorio nacional, se conceden unas autorizaciones y se dictan otras disposiciones en materia energética. Diario Oficial 41.434 del 12 de julio de 1994.

Comisión de Regulación de Energía y Gas - CREG. (2014). Cargo por Confiabilidad. Disponible en http://www.creg.gov.co/cxc/secciones/que_es/que_es.htm [25 de agosto 2014].

XM (2014). "Informe de Demanda de Energía y Fronteras —SIN". Medellín: XM.

BP. (2014). "BP Energy Outlook 2035 shows global energy demand growth slowing, despite increases driven by emerging economies, Energy Outlook 2035. Disponible en http://www.bp.com/en/global/corporate/press/press-releases/energy-outlook-2035.html [3 de diciembre de 2014].

F. Roques, D. Newbery y W. Nuttall (2008). "Portfolio Optimization and Utilities' Investments in Liberalized Power Markets". En M. Bazilian y F. Roques (eds.). "Analytical Methods for Energy Diversity & Security". Oxford: Elsevier, pp. 219-246.

J.W. Mjelde y D.A. Bessler (2009). "Market integration among electricity markets and their major fuel source markets". Energy Economics, vol. 31, pp. 482-491.

D.C. Matisoff, D.S. Noonan y J. Cui (2014). "Electric utilities, fuel use, and responsiveness to fuel prices". Energy Economics, vol. 46, pp. 445 - 542.

R. Guerrero-Lemus, G.A. Marrero y L.A. Puch (2012). "Costs for conventional and renewable fuels and electricity in the worldwide transport sector: A mean-variance portfolio approach". Energy, vol. 44, pp. 178-188.

G. Caspary (2009). "Gauging the future competitiveness of renewable energy in Colombia". Energy Economics, vol. 31, pp. 443-449.

B.J. Ruiz y V. Rodríguez-Padilla (2006). "Renewable energy sources in the Colombian energy policy, analysis and perspectives". Energy Policy, vol. 34, pp. 3684-3690.

F. Gökgöz y M.E. Atmaca (2012). "Financial optimization in the Turkish electricity market: Markowitz's mean-variance approach". Renewable and Sustainable Energy Reviews, vol. 16, pp. 357-368.

T. Bollerslev, R.F. Engle and J.M. Wooldridge (1988). "A capital asset pricing model with time-varying covariance". Journal of Political Economy, vol. 96, pp. 116-131.

Published

2016-12-14

How to Cite

Arango A., M. A., & Arroyave O., S. (2016). Analysis of Fossil Fuels in the Market for Electricity Generation in Colombia: A Contrast between Models of Volatility. Journal of Quantitative Methods for Economics and Business Administration, 22, Páginas 190 a 215. https://doi.org/10.46661/revmetodoscuanteconempresa.2347

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