(PDF) InvariantStock: Learning Invariant Features for Mastering the Shifting Market

Home 18 18 updates Questions Jobs Add new Preprint File available InvariantStock: Learning Invariant Features for Mastering the Shifting Market August 2024 DOI: 10.48550/arXiv.2409.00671 LicenseCC BY-SA 4.0 Haiyao CaoJinan ZouLiu YuhangShow all 7 authorsJaven Qinfeng Shi Research Interest Score - - Citations 0 Recommendations 0 Reads 7 Learn about stats on ResearchGate Preprints and early-stage research may not have been peer reviewed yet. Preprint InvariantStock: Learning Invariant Features for Mastering the Shifting Market Overview Stats Comments Citations References (37) Download Share More Recommend Recommend this work Follow Get updates Share Share in a message Description and figures Accurately predicting stock returns is crucial for effective portfolio management. However, existing methods often overlook a fundamental issue in the market, namely, distribution shifts, making them less practical for predicting future markets or newly listed stocks. This study introduces a novel ap

Home 18 18 updates Questions Jobs Add new Preprint File available InvariantStock: Learning Invariant Features for Mastering the Shifting Market August 2024 DOI: 10.48550/arXiv.2409.00671 LicenseCC BY-SA 4.0 Haiyao CaoJinan ZouLiu YuhangShow all 7 authorsJaven Qinfeng Shi Research Interest Score - - Citations 0 Recommendations 0 Reads 7 Learn about stats on ResearchGate Preprints and early-stage research may not have been peer reviewed yet. Preprint InvariantStock: Learning Invariant Features for Mastering the Shifting Market Overview Stats Comments Citations References (37) Download Share More