Academic Papers

Cleaning correlation matrices

From Risk Magazine’s April 2016 issue.
“The determination of correlation matrices is typically affected by in-sample noise. Joël Bun, Jean-Philippe Bouchaud and Marc Potters propose a simple, yet optimal, estimator of the true underlying correlation matrix and show that this new cleaning recipe outperforms all existing estimators in terms of the out-of-sample risk of synthetic portfolios.”