Robust PCA for Equity Return Prediction

Summary

This project studies robust PCA methods for constructing latent return factors from managed portfolios in equity markets. The pipeline includes cross-sectional feature preprocessing, managed-portfolio construction, factor extraction, and portfolio evaluation.

Methods

Robust PCA, managed portfolios, cross-sectional regression, factor models, rolling-window backtesting.

Status

Research project in progress.