A stochastic process {xt: t = 1,2,….} with a finite second moment [E(xt2) < ] is covariance stationary if:

A. E(xt) is variable, Var(xt) is variable, and for any t, h 1, Cov(xt, xt+h) depends only on ‘h' and not on ‘t'.
B. E(xt is variable, Var(xt) is variable, and for any t, h 1, Cov(xtxt+h depends only on ‘t' and not on h.
C. E(xtis constant, Var(xt) is constant, and for any t, h 1, Cov(xtxt+h depends only on ‘h' and not on ‘t'.
D. E(xt is constant, Var(xt) is constant, and for any t, h 1, Cov(xtxt+h depends only on ‘t' and not on ‘h'.

Answer: C

Economics

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