A hierarchical contrastive learning framework that aligns stocks with theme descriptions and refines embeddings with short-term return signals improves thematic retrieval and backtested portfolio metrics.
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THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics
A hierarchical contrastive learning framework that aligns stocks with theme descriptions and refines embeddings with short-term return signals improves thematic retrieval and backtested portfolio metrics.