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Basic Question 4 of 6
In time series analysis, seasonality refers to:
A. The presence of trends in the data.
B. Patterns that repeat at regular intervals.
C. Random fluctuations in the data.
D. Long-term cycles in the time series.
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I passed! I did not get a chance to tell you before the exam - but your site was excellent. I will definitely take it next year for Level II.
Tamara Schultz
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.