AlphaGlass: Interpretable Characteristic-Based Portfolio Choice
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We propose AlphaGlass, an inherently interpretable machine-learning framework for constructing portfolios that directly optimize investment objectives. AlphaGlass maps stock characteristics into additive signals with sparse interactions and converts these signals into long-short portfolios through a
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美国国家经济研究局创建时间：
2026-05-01
