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FinVerse: Toward More Realistic Evaluation for Financial Time-Series Forecasting

Lee, Jaehoon et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Time-series foundation models (TSFMs) are increasingly evaluated on broad benchmarks that apply uniform conventional forecast evaluation metrics across heterogeneous time-series. However, in the financial domain, decision-relevant evaluation requires going beyond conventional metrics to assess forec
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