FRM Part II · FRM Exam Part II · Correlation Basics: Definitions, Applications, and Terminology
A portfolio manager observes that a stock index and a volatility index have a Pearson correlation of -0.80 over a calm period, and states that the correlation fully describes how the two behave together in a crisis. What is the best critique?
Pearson correlation is only a single linear summary estimated over a sample, so it may miss nonlinear and state-dependent dependence, such as stronger co-movement in stress. It is not a slope or causal effect, so a calm-period value cannot fully describe crisis behavior.
- ACorrelation of -0.80 implies that a 1% fall in the stock index causes an 0.80% rise in the volatility index
- BPearson correlation is a single linear summary and may not capture nonlinear or state-dependent dependence, such as stronger co-movement in stressed marketsCorrect
- CCorrelation is invalid for any two variables with different units
- DA negative correlation always means the two variables are statistically independent in the tails
Explanation
Pearson correlation measures average linear association over the sample and is not a regression slope or causal effect. Dependence can change with market conditions, so a calm-period estimate may not describe crisis behavior. Option A confuses correlation with beta; option C is wrong because correlation is unit-free.
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