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Intermediate Proof

Derivation of the Variance for a Stationary AR(1) Process

Students frequently overlook the critical stationarity condition ϕ<1 |\phi| < 1 , which permits the assumption Var(Xt)=Var(Xt1) Var(X_t) = Var(X_{t-1}) . They might also forget that the covariance Cov(Xt1,ϵt)=0 Cov(X_{t-1}, \epsilon_t) = 0 is a crucial assumption, or that the constant c c vanishes during variance calculation.
Institutional Reference: Time Series Analysis
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