The autocorrelation function, ACF, is an important guide to the properties of a time series. Explicit equations are derived for ACF in the presence of heteroscedasticity disturbances in pth order autoregressive, AR(p), processes. Two cases are presented: (1) when the disturbance term follows the general covariance matrix, Σ , and (2) when the diagonal elements of Σ are not all identical but σi,j = 0 ∀i ≠ j.
"Explicit Equations for ACF in Autoregressive Processes In the Presence of Heteroscedasticity Disturbances,"
Journal of Modern Applied Statistical Methods: Vol. 10
, Article 20.
Available at: http://digitalcommons.wayne.edu/jmasm/vol10/iss2/20