Statistical Shrinkage (4) – Covariance estimation
Eran Raviv
A common issue encountered in modern statistics involves the inversion of a matrix. For example, when your data is sick with multicollinearity your estimates for the regression coefficient can bounce all over the place. In finance we use the covariance matrix as an input for portfolio construction. Analogous to the fact that variance must be...