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CFA® Level I question of the day

15 October 2026 · Quantitative Methods

Why can covariance not be compared across pairs of variables?

Show the answer and explanation

Answer: C. Because its magnitude depends on the units of both variables

Correlation exists precisely to fix that, by producing a unitless figure.

Why the other options are wrong:

  • A. Because it may be negative - Correlation may also be negative, and comparing negative numbers is no harder. The obstacle is scale, not sign.
  • B. Because it requires a large sample - Any estimate is better with more data. That applies equally to correlation, which is comparable across pairs regardless.

Medium · QM.4.d · learning outcome: Work out covariance and correlation and explain what they show

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