Stationarity and Invertibility
Most time-series methods are only valid if the underlying time-series is stationary. The more stationary something is, the more predictable it is. More specifically, a time-series is stationary if its mean, variance, and autocovariance do not rely on the particular time period.
- Stralkowski, C., & Wu, S. (1968). Charts for the interpretation of low order autoregressive moving average models (Technical report 164), University of Wisconsin, Department of Statistics.Google Scholar