We derive necessary and sufficient conditions under which the inverse relation between network centrality and global minimum-variance portfolio weights holds in a local perturbation analysis. Our analytical and computational results show that certain simple and natural covariance structures satisfy these conditions. In addition to extensive simulation results, we validate our theoretical insights using return data from the constituents of the S&P 500 index.
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Rihtamo et al. (2026) studied this question.
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