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DSTNet: Dynamic Spectral Trajectory Network for Causal Multi-Horizon Financial Forecasting

Bohra, Aashish et al.
arXiv (All) · Papers
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computational-financemachine-learningstatistical-finance
Wavelet-based financial forecasters typically use the transform only to denoise, or reduce it to a single spectral snapshot at the forecast origin, and the convolution that produces the coefficients is usually bilateral, so it can read past the forecast origin. DSTNet instead retains the recent evol
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