Unit-root autoregressive process
= Unit-root autoregressive process
An autoregressive polynomial with a root at one gives a unit-root model. The basic example $X_t=X_{t-1}+\varepsilon_t$ is a <random walk>, whose variance grows with time when the increments have positive variance. <Differencing> removes this root and recovers its <white noise> increments.