Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow

Tian Guo, Emmanuel Hauptmann

Large language models (LLMs) and their fine-tuning techniques have demonstrated superior performance in various language understanding and generation tasks. This paper explores fin…