S
StevieG4captain
Member
I am trying to calculate the ACF at lag 2 for the following time series:
X(t)=0.5X(t-2)+e(t)
ACF(2)=Cov[X(t-2),X(t)]/Cov[X(t),X(t)]
= Cov[X(t-2),X(t)]/Var[X(t)]
= Cov[2{(X(t)-e(t)},X(t)]/Var[X(t)]
= {Cov[2X(t),X(t)]-Cov[2e(t),X(t)]}/Var[X(t)]
= 2Var[X(t)]/Var[X(t)]
= 2 (which can't be right as > 1, whereas |correlation|<=1 always)
Does anybody know why I've got this nonsense answer? I'm guessing I've treated the Cov[2e(t),X(t)]} incorrectly by assuming it equals 0. But if this is the case what does Cov[2e(t),X(t)]} actually equal and how can it be calculated?
Thanks for your time! Would really appreciate a brief reply so I can understand where I'm going wrong..... cheers
SG4C
X(t)=0.5X(t-2)+e(t)
ACF(2)=Cov[X(t-2),X(t)]/Cov[X(t),X(t)]
= Cov[X(t-2),X(t)]/Var[X(t)]
= Cov[2{(X(t)-e(t)},X(t)]/Var[X(t)]
= {Cov[2X(t),X(t)]-Cov[2e(t),X(t)]}/Var[X(t)]
= 2Var[X(t)]/Var[X(t)]
= 2 (which can't be right as > 1, whereas |correlation|<=1 always)
Does anybody know why I've got this nonsense answer? I'm guessing I've treated the Cov[2e(t),X(t)]} incorrectly by assuming it equals 0. But if this is the case what does Cov[2e(t),X(t)]} actually equal and how can it be calculated?
Thanks for your time! Would really appreciate a brief reply so I can understand where I'm going wrong..... cheers
SG4C