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Using a Rolling Vector Error Correction Model to Model Static and Dynamic Causal Relations between Electricity Spot Price and Related Fundamental Factors: The Case of Greek Electricity Market

Author

Listed:
  • George P. Papaioannou

    (Department of Research, Technology & Development, Independent Power Transmission Operator S.A., 89 Dyrrachiou & Kifisou Str. Gr, 104 43, Athens, Greece,)

  • Christos Dikaiakos

    (Department of Mathematics, Center for Research and Applications in Nonlinear Systems, University of Patras, Patras 26 500, Greece,)

  • Akylas Stratigakos

    (Department of Electrical and Computer Engineering, University of Patras, Patras)

  • Anargyros Dramountanis

    (Department of Electrical and Computer Engineering, University of Patras, Patras)

  • Antonio T. Alexandridis

    (Department of Electrical and Computer Engineering, University of Patras, Patras)

Abstract

The purpose of this study is to investigate short and long run relationships between electricity spot prices in Greece, Brent oil, natural gas, lignite fuel cost and carbon allowances using daily data from 2007 to 2014. Static and dynamic Johansen test are applied in order to identify long run relations and also to assess the evolution over time in the level of cointegration. Additionally we test for Granger Causality in a Vector error correction model and embrace impulse response and variance decomposition techniques to model the dynamic response of electricity prices in excitation of another variable. Overall our results suggest an important long run relation between spot electricity prices in Greece, natural gas price and carbon allowances, while in the short run electricity prices are not affected by any of the other variables, results that are of practical importance for the market regulator as well as the wholesale market participants.

Suggested Citation

  • George P. Papaioannou & Christos Dikaiakos & Akylas Stratigakos & Anargyros Dramountanis & Antonio T. Alexandridis, 2018. "Using a Rolling Vector Error Correction Model to Model Static and Dynamic Causal Relations between Electricity Spot Price and Related Fundamental Factors: The Case of Greek Electricity Market," International Journal of Energy Economics and Policy, Econjournals, vol. 8(1), pages 38-54.
    • Handle: RePEc:eco:journ2:2018-01-6
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    References listed on IDEAS

    as
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    3. Daskalakis, George & Psychoyios, Dimitris & Markellos, Raphael N., 2009. "Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1230-1241, July.
    4. repec:aen:journl:2006v27-02-a02 is not listed on IDEAS
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    Cited by:

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    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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