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Testing Day-Of-The-Week Persistence and Seasonality in Spanish Electricity Energy Prices

Author

Listed:
  • OlaOluwa Yaya

    (Economic and Financial Statistics Unit, Dept of Statistics, University of Ibadan, Nigeria)

Abstract

Day-of-the-week persistence and seasonality of electricity prices in Spain, spanning 01/01/2006 to 04/11/2021, are investigated by employing updated fractional persistence frameworks in non-linear settings. The results show marginal higher persistence in electricity prices during the working days (Tuesday, Wednesday, Thursday, and Friday) compared to weekend days. In all cases, electricity prices are mean-reverting with long-range dependence properties. Results also show that the monthly electricity price series contain no seasonal effect.

Suggested Citation

  • OlaOluwa Yaya, 2024. "Testing Day-Of-The-Week Persistence and Seasonality in Spanish Electricity Energy Prices," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 5(1), pages 1-7.
    • Handle: RePEc:ayb:jrnerl:99
    DOI: 2024/07/10
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    References listed on IDEAS

    as
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    3. Luis A. Gil-Alana & OlaOluwa S. Yaya, 2021. "Testing fractional unit roots with non-linear smooth break approximations using Fourier functions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(13-15), pages 2542-2559, November.
    4. C. W. J. Granger & Roselyne Joyeux, 1980. "An Introduction To Long‐Memory Time Series Models And Fractional Differencing," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 15-29, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Electricity prices; Fractional persistence; Unit root; Day-of-the-week effect; seasonality; Spain;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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