Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/29555
Authors: 
Schlüter, Stephan
Year of Publication: 
2009
Series/Report no.: 
IWQW discussion paper series 04/2009
Abstract: 
The wavelet transform is used to identify a biannual and an annual seasonality in the Phelix Day Peak and to separate the long-term trend from its short-term motion. The short-term/long-term model for commodity prices of Schwartz & Smith (2000) is applied but generalised to account for weekly periodicities and time-varying volatility. Eventually we find a bivariate SARMA-CCC-GARCH model to fit best. Moreover it surpasses the goodness of fit of an univariate GARCH model, which shows that the additional effort of dealing with a two-factor model is worthwile.
Subjects: 
Wavelets
Seasonal Filter
Relative Wavelet Energy
Multivariate GARCH
Energy Price Modelling
JEL: 
C32
C51
Document Type: 
Working Paper

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