The time series data needs to be stationary because:
- The time series principles are only applicable to stationary data.
- The statistical models cannot forecast on non-stationary data. They can predict effectively only on stationary data.
A series is said to be stationary if its statistical properties like mean, variance and covariance don’t vary with time.