This paper examines the minimum and maximum values of the autocorrelation function of the moving average process of order two with a view to ensuring its proper identification when compared with other time series processes with similar covariance structures. Critical points of the first and second autocorrelation functions are used to obtain their respective extreme values. The theoretical results obtained are illustrated numerically.

moving average process, invertibility condition, autocorrelation function, critical points, extreme values.