Abstract: Highlights•Inner-Modal Contrastive Learning improves encoders by capturing fine-grained features in financial data.•Inter-Modal Contrastive Fusion aligns numeric and text modalities in a unified spatio-temporal feature space.•Multi-modal relations incorporate industry categories to guide predictive dependencies across modalities.•Portfolio optimization uses Constant Relative Risk Aversion(CRRA) utility loss to learn predictive statistical features from joint return distribution.
External IDs:dblp:journals/pr/FangHLCLW26
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