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Basic Question 1 of 5

One method to correct for heteroscedasticity is to compute robust standard errors. It involves:

A. Direct modifications to the t-statistics to account for conditional heteroskedasticity.
B. Generalizing the least squares regression to correct for conditional heteroskedasticity.
C. Direct modifications to the standard errors to account for conditional heteroskedasticity.

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I am using your study notes and I know of at least 5 other friends of mine who used it and passed the exam last Dec. Keep up your great work!
Barnes

Barnes

Learning Outcome Statements

explain the types of heteroskedasticity and how it affects statistical inference;

CFA® 2024 Level II Curriculum, Volume 1, Module 3.