TY - DATA T1 - Factor Model MATLAB code underlying the publication: A Saddle Point Algorithm for Robust Data-Driven Factor Model Problems PY - 2025/06/17 AU - Shabnam Khodakaramzadeh UR - DO - 10.4121/f25270e0-4054-4e9d-85da-5908a07a3874.v1 KW - Factor model KW - covariance matrix estimation KW - first-order algorithms KW - dimension reduction N2 -
The factor model problem focuses on the decomposition of a covariance matrix $\Sigma$ to low-rank and diagnonal positive semidefinite matrices. In practice, $\Sigma$ is often not available, and only its empirical counterpart, $\hat{\Sigma}$, is available. To robustify to this approximation error, a common practice is to consider a family of covariance matrices in the vicinity of $\Sigma$.
The linked repository contains MATLAB files corresponding to the numerical results of the paper 'A Saddle Point Algorithm for Robust Data-Driven Factor Model Problems'.
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