The ESSEC-Amundi Chair on Asset & Risk Management is delighted to invite you to a webinar on "LLMs Limits in Finance: Information Overload and Return Predictability".

Until recently, the finance literature rested mostly on the use of numerical data for predictions. Recent developments in artificial intelligence (AI) and Large Language Models (LLMs), especially in their ability to process text information, have significantly transformed our approach to financial modeling and predictions. Yet, the potential applications of LLMs in finance and economics remain an open question. In addition, as financial markets are increasingly integrating advances in AI and LLMs, understanding the biases embedded in these models and the limits to the rationality of LLMs represent a major challenge.

Program:

• "Can Chat GPT Forecast Price Movements?: Return Predictability and Large Language Models", by Alejandro Lopez-Lira and Yuehua Tang
• "AI in Finance and Information Overload" by Attila Balogh, Antoine Didisheim, Luciano Somoza, and Hanqing Tian

Organizers:

• Marie BRIERE, Head of Investor Intelligence & Academic Partnerships (Amundi Investment Institute), Chair Co-Director 
• Jocelyn MARTEL, Professor of Finance (ESSEC), Chair Co-Director 
• Sofia RAMOS, Professor of Finance (ESSEC), Chair Academic Advisor 

To register please follow this link.