A time series is said to be stationary when its statistical properties like mean, variance, etc., do not vary with time. This property is essential for cointegration analysis because non-stationary variables can lead to spurious regression results.
A time series is said to be stationary when its statistical properties like mean, variance, etc., do not vary with time. This property is essential for cointegration analysis because non-stationary variables can lead to spurious regression results.