Nonstationary process

A process is nonstationary if some finite-dimensional distribution changes under a common time shift. With finite second moments, failure of a constant mean or variance, or failure of lag-only covariance, already rules out a weakly stationary process. A periodic mean or periodic variance can instead give a periodically correlated process.