Popular applications include index values, price, income, power system loading, sales, gross national product, population, temperature and rainfall. This method is particulary effective when the time series contains cyclical components.
Spectral analysis is used to perform an in depth analysis of the trend and cyclical components.
A moving time domain window is used to determine how each cyclical component is changing over time. The cycles are forecast individually, then recombined. The forecast is dynamic. When the forecast cycles are in alignment, turning points and changes in trend will occur.