Talk: Generative AI for Active Investment: Distilling Bloated Corporate Disclosures
Date: Tuesday 21.05.24
Time: 15:00 BST
In the rapidly evolving landscape of financial analysis and corporate reporting, generative AI is emerging as a transformative tool. Professor Muhn’s upcoming talk will explore the capabilities of GenAI in reshaping investor interactions with corporate information. He will discuss how large language models like ChatGPT can serve as powerful tools for financial market participants, effectively streamlining the processing of increasingly bloated corporate disclosures. Moreover, he will highlight research findings that demonstrate generative AI's superiority in risk detection and financial forecasting, offering insights that surpass traditional analytical methods and signalling a transformative shift in analysis for financial markets.
About Maximilian Muhn
Maximilian Muhn is an Assistant Professor at the University of Chicago, Booth School of Business. He completed his PhD in Accounting at Humboldt University of Berlin. He also holds an MSc and a BSc in Business Administration from the University of Münster, Germany. Professor Muhn's research interests lie primarily in empirical accounting. His recent work focuses on the economic usefulness of generative AI, particularly Large Language Models, on corporate reporting and financial markets.
Papers
- Bloated Disclosures: Can ChatGPT Help Investors Process Information?: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4425527
- From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4593660
- Financial Statement Analysis with Large Language Models: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4835311