Corvinus
Corvinus

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

Mák, Fruzsina (2014) Analyzing interrelated stochastic trend and seasonality on the example of energy trading data. Working Paper. Corvinus University of Budapest Faculty of Economics, Budapest.

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This article was first published in Society and Economy, 2014. vol. 36. no. 2. p. 233-261.

Abstract

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).

Item Type:Monograph (Working Paper)
Series Name:Corvinus Economics Working Papers - CEWP
Series Number / Identification Number:2014/09
Uncontrolled Keywords:unit root, seasonality, energy exchange
JEL classification:C22 - Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Q41 - Energy: Demand and Supply; Prices
Subjects:Energy economy
Mathematics, Econometrics
ID Code:1611
Deposited By: Ádám Hoffmann
Deposited On:20 Jun 2014 12:32
Last Modified:25 Jul 2014 11:52

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