Principal component error in high-dimensional factor models

Alex Bernstein, Lisa R. Goldberg, Nicholas Gunther +4

In a statistical factor model, principal components (or eigenvectors) of a sample covariance matrix serve as estimates of principal directions, the true drivers of co-movement of a…