Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction

By Tian Guo, Emmanuel Hauptmann

Published 2025-11-25

Everscope rating

1503.5

Relevance to quantitative trading

9 / 10

Implementation complexity

6 / 10

Reproducibility

3 / 5

About this paper

Methodology: Multimodal Fusion Learning and Mixture Modeling with Decoupled Training. Problem types: Regression, Ranking, Portfolio Optimization, Natural Language Processing.

arXiv:2510.15691 · Paper rankings

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