Analyzing interrelated stochastic trend and seasonality on the example of energy trading data
AbstractThe 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).
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Bibliographic InfoPaper provided by Corvinus University of Budapest in its series Corvinus Economics Working Papers (CEWP) with number 1611.
Date of creation: 2014
Date of revision:
unit root; seasonality; energy exchange;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
This paper has been announced in the following NEP Reports:
- NEP-ALL-2014-07-05 (All new papers)
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