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Correlated regressors, what actually breaks?

Asked at Two Sigma, Citadel

You regress returns on two signals that are highly correlated with each other (say corr=0.95\operatorname{corr} = 0.95).

What does multicollinearity do, and not do, to OLS? Derive the variance-inflation effect, list the symptoms, and give the remedies.

Show a hint

Write the sampling variance of one coefficient in terms of how much of that regressor is explained by the others.

Your answer

This one is open-ended. Work it through, then check your reasoning against the full solution.

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