Let yt be an ARMA(1,2) time series where Var "t = _2 " and yt 􀀀 0:5yt􀀀1 = "t 􀀀 "t􀀀1 + 0:24"t􀀀2: (a) Verify if this model is causal, stationary and invertible. (b) Find the _rst _ve terms of the...



Let yt be an ARMA(1,2) time series where Var "t = _2 " and


yt 􀀀 0:5yt􀀀1 = "t 􀀀 "t􀀀1 + 0:24"t􀀀2:


(a) Verify if this model is causal, stationary and invertible.


(b) Find the _rst _ve terms of the Wold expansion of this process,



15.


(c) Find the ACF.





Show that an ARFIMA model satis_es the de_nition of a long-memory


process described in this chapter and discuss alternative de_nitions of strongly


dependent time series models.







May 22, 2022
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