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HAN-Mamba: Hierarchical Selective State Space Networks for Multi-Scale Financial Volatility Forecasting

Deaconu, Mihai Bogdan et al.
arXiv (All) · Papers
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and-sciencecomputational-engineeringfinancemachine-learning
Short-horizon realized volatility forecasting requires the integration of market information that evolves at incompatible temporal resolutions, from second-level order book dynamics to weekly regime drift. Our conference work introduced HAN-T, a hierarchical architecture in which scale-specific Tran
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