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Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: un contraste entre modelos de volatilidad || Analysis of Fossil Fuels in the Market for Electricity Generation in Colombia: A Contrast between Models of Volatility

Author

Listed:
  • Arango A., Mónica Andrea

    (Universidad de Medellín (Colombia). Universidad Nacional de Colombia (Colombia))

  • Arroyave O., Santiago

    (Universidad Medellín (Colombia). Global Securities (Colombia))

Abstract

La importancia del sector eléctrico en el crecimiento de las economías incentiva el estudio sobre las variables que determinan la ejecución de nuevos proyectos de inversión en el sector. Las barreras en la disponibilidad de los combustibles se traducen en un incremento de la incertidumbre, convirtiéndose en un aspecto fundamental en la toma de decisiones en los mercados de generación de energía. Ante esto, se realiza un contraste entre un modelo de volatilidad determinística y dos modelos de volatilidad estocástica paramétrica GARCH y EWMA, aplicados en el precio de los combustibles fósiles, con el fin de identificar trade off, entre costos y riesgo, enfrentado por los generadores en una matriz energética conformada por tecnologías basadas en carbón, gas y petróleo. Los tres modelos permiten contrastar los resultados empíricos de las covarianzas obtenidas a través de la metodología de Pearson, EWMA y Vech. La evidencia sugiere que en un contexto en el que sea necesario seleccionar uno de los combustibles, el carbón presenta menor exposición al riesgo y menor variación en su precio, implicando un menor egreso en los mercados de generación. Sin embargo, contar con la matriz energética conformada por los tres combustibles fósiles permite una menor exposición al riesgo para el mercado global. || 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.

Suggested Citation

  • Arango A., Mónica Andrea & Arroyave O., Santiago, 2016. "Análisis de combustibles fósiles en el mercado de generación de energía eléctrica en Colombia: un contraste entre modelos de volatilidad || Analysis of Fossil Fuels in the Market for Electricity Gener," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 22(1), pages 190-215, December.
  • Handle: RePEc:pab:rmcpee:v:22:y:2016:i:1:p:190-215
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    More about this item

    Keywords

    mercado energético; modelos econométricos; energy markets; econometric modeling;
    All these keywords.

    JEL classification:

    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment

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