AI RESEARCH
Financially Guided Deep Portfolio Optimization
arXiv CS.LG
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ArXi:2605.28853v1 Announce Type: cross Portfolio optimization in real-world financial markets is notoriously difficult due to non-stationarity, noisy data, and high transaction costs. Standard predict-then-optimize methods first forecast returns and then solve for weights, compounding prediction errors and often failing under regime shifts.