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Analyzing interrelated stochastic trend and seasonality on the example of energy trading data


  • Mák, Fruzsina


The correct modelling of long- and short-term seasonality is a very interesting issue. The choice between the deterministic and stochastic modelling of trend and seasonality and their implications are as relevant as the case of deterministic and stochastic trends itself. The study considers the special case when the stochastic trend and seasonality do not evolve independently and the usual differencing filters do not apply. The results are applied to the day-ahead (spot) trading data of some main European energy exchanges (power and natural gas).

Suggested Citation

  • Mák, Fruzsina, 2014. "Analyzing interrelated stochastic trend and seasonality on the example of energy trading data," Corvinus Economics Working Papers (CEWP) 2014/09, Corvinus University of Budapest.
  • Handle: RePEc:cvh:coecwp:2014/09

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    unit root; seasonality; energy exchange;
    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
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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