Honey, I Shrunk the Sample Covariance Matrix

What it asks

As the number of assets approaches the number of observations, the sample covariance matrix becomes unreliable. Instead of using it on its own, Ledoit and Wolf take a weighted average of it with a more constrained estimator. The weight is not arbitrary; it is computed from the data. The resulting matrix carries less noise and can be inverted safely.