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Two-sample tests for principal eigenvalues and eigenvectors in high-dimensional elliptical factor models
Changes in principal eigenvalues and eigendirections provide complementary diagnostics of structural instability in factor models, but covariance-based inference can be unreliable under heavy tails. We develop two-sample tests for equality of these features of trace-normalized shape matrices under h
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