A Stochastic Process {X_t: T = 1,2,…

question 22

Multiple Choice

A stochastic process {x_t: t = 1,2,….} with a finite second moment [E(x_t²) < ] is covariance stationary if:

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

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