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Macro Factor Identification in Cross-Sectional Equity Returns

This paper applies sparse principal component analysis to a broad panel of macroeconomic and financial series to identify a small set of latent factors that explain cross-sectional variation in equity returns. We assess factor stability across economic expansions and contractions and evaluate the incremental explanatory contribution beyond standard risk factors. The approach provides a data-driven alternative to pre-specified macroeconomic indicators while maintaining interpretability through sparsity constraints.

  • Sparse PCA methodology applied to macro/financial panels for factor extraction
  • Stability assessment of identified factors across expansion and contraction regimes
  • Comparison with standard risk factor benchmarks on cross-sectional explanatory power