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Figure 8.6 ACF plot of a simulated MA(3) time series
To understand why this phenomenon occurs, it is useful to examine Equations 8.10
through 8.14 for an MA(3) time series model:
8.10
8.11
8.12
8.13
8.14
Because the expression of shares specific white noise variables with the
expressions for through , inclusive, those three variables are correlated
to . However, the expression of in Equation 8.10 does not share white noise
variables with in Equation 8.14 . So the theoretical correlation between and
is zero. Of course, when dealing with a particular dataset, the theoretical
autocorrelations are unknown, but the observed autocorrelations should be close
to zero for lags greater than q when working with an MA(q) model.
 
 
 
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