0
$\begingroup$

ARIMA cannot model large lags(obtained from autocorrelation plot) and long range dependency(hurst exponent H > 0.5). Why is it so?

$\endgroup$
1
$\begingroup$

An ARIMA model with order of differencing d equal to 1 can model a time series with a unit root, which is a form of long-range dependence. If d=0 one has an ARMA model, which cannot model long-range dependence unless the number or AR or MA parameters is very high. To model long range dependence in a parsimonious manner, look at fractionally integrated ARMA models, known as ARFIMA models.

| improve this answer | |
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.