Preprint
Sep 2026
Hierarchical Multi-Task Learning with Liquidity-Aware Signals for Stock Forecasting
Stock price forecasting is a long-standing challenge in computational finance, driven by the inherent randomness of markets and complex temporal patterns. While recent deep-learning models have raised forecasting accuracy by jointly modeling inter-stock and temporal price dynamics, they conflate inter-stock relationshi...
Heng-Yi Yang, Si-Da Lin, Yi-Yan Qi et al.
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