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Sparsity Regularized and Robust Mean Variance Portfolio Selection Under Ellipsoidal Uncertainty
We investigate mean-variance portfolio selection with an $\ell_0$-penalty to promote sparsity in asset allocations. Uncertainty in the mean return vector is incorporated through an ellipsoidal uncertainty set, yielding a robust sparse optimization framework. We characterize the structure of both loc
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