Landmark Paper on GPT for Stock Price Forecasting Published in Journal of Financial Economics
JeremyNguyenPhD · x · 2026-08-08
The original landmark paper exploring the potential of ChatGPT for forecasting share prices has finally been published in the prestigious Journal of Financial Economics. Co-authored by Alejandro Lopez-Lira and Yuehua Tang, the study presents results based on the performance of GPT-4 and GPT-3.5 in financial market prediction.
Related event: Landmark ChatGPT Stock Prediction Paper Published in JFE(2 posts)→
More from Research
- Simplex Diffusion Models author Justin Deschenaux to present his paper Monday — LucaAmb · 2026-10-16
- Tool auto-audits paper claims with pass/fail evals — 4 of 7 metrics reproduce, 1 fails — jwt0625 · 2026-10-16
- Hironobu Fujiyoshi publishes deck: from AI agents to Agentic Robotics — HirokatuKataoka · 2026-10-16
- Is math just a language? A debate on why LLMs are good at mathematics — LucaAmb · 2026-10-16
- Alibaba open-sources OpenGCUA, a full-stack generalist computer-use agent; +19.6 points on OSWorld-v2 across 8 models — Tongyi-MAI · 2026-10-16
- CoDA co-evolves simulation and robot policies via shared failure memory, lifting OOD success from 5.3% to 27.6% — PLAN-Lab · 2026-10-16