Growing the Efficient Frontier on Panel Trees

Lin William Cong, Guanhao Feng (), Jingyu He and Xin He

Papers from arXiv.org

Abstract: We introduce a new class of tree-based models, P-Trees, for analyzing (unbalanced) panel of individual asset returns, generalizing high-dimensional sorting with economic guidance and interpretability. Under the mean-variance efficient framework, P-Trees construct test assets that significantly advance the efficient frontier compared to commonly used test assets, with alphas unexplained by benchmark pricing models. P-Tree tangency portfolios also constitute traded factors, recovering the pricing kernel and outperforming popular observable and latent factor models for investments and cross-sectional pricing. Finally, P-Trees capture the complexity of asset returns with sparsity, achieving out-of-sample Sharpe ratios close to those attained only by over-parameterized large models.

Date: 2025-01, Revised 2025-02
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Working Paper: Growing the Efficient Frontier on Panel Trees (2022)
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