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Basic Question 6 of 6
Deseasonalizing a time series involves:
A. Introducing artificial seasonality.
B. Removing the seasonal component to focus on the underlying trend.
C. Increasing the amplitude of seasonal patterns.
D. Ignoring the time-based patterns.
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Learning Outcome Statements
explain how to test and correct for seasonality in a time-series model and calculate and interpret a forecasted value using an AR model with a seasonal lag;
CFA® 2025 Level II Curriculum, Volume 1, Module 5.