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News/How do standard time series forecasting benchmarks translate to finance? A broad study of risk adjusted performance
arxiv
PublishedOctober 27, 2026 at 4:00 AM

How do standard time series forecasting benchmarks translate to finance? A broad study of risk adjusted performance

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arXiv:2603.01820v2 Announce Type: replace-cross Abstract: Forecasting financial asset returns is challenging due to low signal-to-noise ratios, non-stationarity and heavy-tailed distributions. We benchmark 16 deep learning architectures for time series forecasting, including Transformers, State Spac

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