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Basic Question 4 of 8
Assume a time series model has ARCH (1) errors. The variance of the errors in period t + 1 is modeled as σt+12 = 5.2 + 0.35 σt2. If the variance of the errors in one period is 2, the predicted variance of the error in the next period should be ______.
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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 autoregressive conditional heteroskedasticity (ARCH) and describe how ARCH models can be applied to predict the variance of a time series;
CFA® 2025 Level II Curriculum, Volume 1, Module 5.