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Basic Question 9 of 9
In covariance stationary time series data, which properties must be constant and finite in all periods.
I. the expected value of the time series
II. the variance of the time series
III. the covariance of the time series with itself
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Learning Outcome Statements
calculate and evaluate the predicted trend value for a time series, modeled as either a linear trend or a log-linear trend, given the estimated trend coefficients;
describe factors that determine whether a linear or a log-linear trend should be used with a particular time series and evaluate limitations of trend models;
explain the requirement for a time series to be covariance stationary and describe the significance of a series that is not stationary;
CFA® 2025 Level II Curriculum, Volume 1, Module 5.