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TailDART: Compute-Efficient Foundation Models for Financial Time-Series Forecasting

arXiv cs.AI · Chiang Qin Zhi, Ranjan Satapathy, Erik Cambria, Joyjit Chattoraj ·

arXiv:2611.09176v1 Announce Type: new Abstract: Although time-series foundation models (TSFMs) achieve strong zero-shot transferability across high-information-density physical systems, applying overparameterized TSFMs to quantitative finance is fundamentally constrained by low signal-to-noise ratios,…

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