Fractional and seasonal filtering
We introduce in this study a new strategy to model simultaneously persistence and seasonality inside economic data using different stochastic filters based on the Gegenbauer modelling. The limits and advantages of these filters are discussed in order to improve the adjustment of economic series, particularly when specific trend is observed. The series of new cars registrations in the Euro-zone is modelled using the previous filters
|Date of creation:||2008|
|Publication status:||Published in J.L. Mazi. Proceeding Book on the Conference Seasonality, Seasonal adjustment and its implication for short term analysis and forecasting, Eurostat, pp.121-132, 2008|
|Note:||View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00646178|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
References listed on IDEAS
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- Laurent Ferrara & Dominique Guegan, 2006. "Fractional seasonality: Models and Application to Economic Activity in the Euro Area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00185370, HAL.
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Economics and Finance Discussion Papers
05-16, Economics and Finance Section, School of Social Sciences, Brunel University.
- Guglielmo Maria Caporale & Luis Gil-Alana, 2006. "Long memory at the long-run and the seasonal monthly frequencies in the US money stock," Applied Economics Letters, Taylor & Francis Journals, vol. 13(15), pages 965-968.
- Laurent Ferrara & Dominique Guegan, 2001.
"Forecasting with k-factor Gegenbauer Processes: Theory and Applications,"
- Ferrara, Laurent & Guegan, Dominique, 2001. "Forecasting with k-Factor Gegenbauer Processes: Theory and Applications," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(8), pages 581-601, December.
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