ARMA+GARCH inferred residuals and volatility inconsistency.
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I am puzzled why I am getting two different values from the same data, but different lengths. The residuals of the model match up however the conditional variances is not.
rng(1);
y=randn(100,1)
y=.01+cumsum(y)*.0025;
mdl=arima(3,0,3);
mdl.Variance=garch(1,1);
mdl=estimate(mdl,y);
[residuals,lo] = infer(mdl,y);
ret=y(1:10);
[E,LV]=infer(mdl,ret);
LV-lo(1:10);
(E-residuals(1:10))==0 %<----zero as expected
(LV-lo(1:10))==0 %<----this should be zero as well
Can someone help me understand why the conditional variances are not the same?
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Dimitris Iliou
el 14 de Jul. de 2017
If you go the documentation page of the infer function:
you will notice the following on the description:
" infer(Mdl,Y) infers the conditional variances of the fully specified, univariate conditional variance model Mdl fit to the response data Y "
When your data Y has different number of points, I believe that the conditional variances might be a bit different because of the fitting. That is why you noticed that small difference in the values.
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