Seasonal Cointegration, Common Seasonals, and Forecasting Seasonal Series
Seasonal cointegration generalizes the idea of cointegration to processes with unit roots at frequencies different from 0. Here, "common seasonals," also a dual notion of common trends, is adopted for the seasonal case. The features are demonstrated in exemplary models for German and U.K. data. An evaluation of the predictive value of accounting for several cointegration shows that season cointegration may be difficult to exploit to improve predictive accuracy even in cases where seasonal no-cointegration is clearly rejected on statistical grounds. The findings from the real-world examples are corroborated by Monte Carlo simulation.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Volume (Year): 18 (1993)
Issue (Month): 4 ()
|Contact details of provider:|| Web page: http://www.springer.com|
|Order Information:||Web: http://www.springer.com/economics/econometrics/journal/181/PS2|