Adding Lags to the Mean Model of a Multivariate GARCH Model
Posted: Sat Dec 02, 2017 4:16 pm
Dear Tom,
I have estimated a Triangular BEKK model and I used the following restrictions to estimate the mean equation of the model.
dec symm[series] hhs(4,4)
clear(zeros) hhs
equation dlgsecieq dlgseci
#constant hhs(1,1)
equation dlexreq dlexr
#constant hhs(2,1) hhs(2,2)
equation dlsp500eq dlsp500
#constant hhs(3,1) hhs(3,2) hhs(3,3)
equation dlcopeq dlcop
#constant hhs(4,1) hhs(4,2) hhs(4,3) hhs(4,4)
group garchm dlgsecieq dlexreq dlsp500eq dlcopeq
I am considering adding lags to the this model but am not sure how this is done in the RATS program in a restricted model like this. I wanted to ask if there is a way to do this.
Thank you
I have estimated a Triangular BEKK model and I used the following restrictions to estimate the mean equation of the model.
dec symm[series] hhs(4,4)
clear(zeros) hhs
equation dlgsecieq dlgseci
#constant hhs(1,1)
equation dlexreq dlexr
#constant hhs(2,1) hhs(2,2)
equation dlsp500eq dlsp500
#constant hhs(3,1) hhs(3,2) hhs(3,3)
equation dlcopeq dlcop
#constant hhs(4,1) hhs(4,2) hhs(4,3) hhs(4,4)
group garchm dlgsecieq dlexreq dlsp500eq dlcopeq
I am considering adding lags to the this model but am not sure how this is done in the RATS program in a restricted model like this. I wanted to ask if there is a way to do this.
Thank you