Construction of Robust Covariance Matrices for Investment Portfolio Optimization: An Application of the Marcenko-Pastur Theorem
Research by Omar Bairan, from July 2022, that applies the Marcenko-Pastur distribution to remove noise from covariance matrices and reduce the variance of a synthetic portfolio by more than 22 %. It includes the Python code.








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