Universal Portfolio Shrinkage
Working Paper 32004
DOI 10.3386/w32004
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We introduce a nonlinear covariance shrinkage method for building optimal portfolios. Our universal portfolio shrinkage approximator (UPSA) is given in closed-form, is cheap to implement, and improves upon existing shrinkage methods. Rather than uniformly penalizing all principal components of returns or discarding low-variance ones, UPSA instead reweights components to explicitly optimize expected out-of-sample portfolio performance. In empirical applications using a large cross-section of anomaly factors, it delivers robust improvements over alternative shrinkage methods in the literature.
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Copy CitationBryan T. Kelly, Semyon Malamud, Mohammad Pourmohammadi, and Fabio Trojani, "Universal Portfolio Shrinkage," NBER Working Paper 32004 (2023), https://doi.org/10.3386/w32004.Download Citation
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