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Explanation:
A time series is considered covariance stationary (or weakly stationary) if its basic statistical properties—namely its mean, variance, and autocovariance—are constant over time. Therefore, they do not change over time.
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Q.77 A time series is said to be stationary if:
A
Its statistical properties including the mean and variance do not change over time.
B
Its mean, variance, and covariances with lagged and leading values change over time.
C
Its mean remains constant but variance and covariances with lagged and leading values change over time.
D
Its mean and variance are variables but covariances with lagged and leading values do not change over time.