Rank-Based Shrinkage Targets Heavy-Tailed Financial Covariance
MENS combines normal-scores ranks with nonlinear eigenvalue shrinkage to estimate covariance in nonparanormal financial models.
Jul 28, 20264 min2607.19825
2 articles on SOTA Papers
MENS combines normal-scores ranks with nonlinear eigenvalue shrinkage to estimate covariance in nonparanormal financial models.
MENS estimates high-dimensional latent covariance in nonparanormal models by applying oracle nonlinear shrinkage to normal-scores rank covariance eigenvalues.