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Cleaning Correlation Matrices with RMT by doc_oz3298 is a document available to read on EtoBox.
This document summarizes several methods for cleaning empirical correlation matrices. It discusses how estimated correlation matrices (E) become noisy when the number of assets (N) exceeds the number of time periods (T) used to estimate them. It presents three main cleaning techniques: 1) shrinkage, which shrinks eigenvalues towards the mean, 2) eigenvalue clipping, which replaces small eigenvalues with a single value, and 3) eigenvalue substitution, which replaces eigenvalues with theoretically predicted v
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- doc_oz3298
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- EN