|   | Big Data and Securities Markets Organized by Itay Goldstein, Chester S. Spatt, and Mao Ye Supported by the National Science Foundation December 1, 2023 Marriott Cambridge, 50 Broadway, Cambridge, MA 02142 Format: Presenters: 20 minutes; Discussants: 15 minutes; General Discussion: 10 minutes | 
| Friday, December 1 | |
| 8:00 am |  Continental Breakfast | 
| 8:29 am |  News and Price Informativeness | 
| 8:30 am | Managerial Learning from Decoding Noisy Stock Prices: New(s) Evidence From Billions of Internet Article Reads 
    Discussant: Olivier Dessaint, INSEAD | 
| 9:15 am | Media Narratives and Price Informativeness 
    Discussant: William N. Goetzmann, Yale University and NBER | 
| 10:00 am |  Break | 
| 10:14 am |  Corporate Finance | 
| 10:15 am | Covenant Violations, Loan Amendments, and Financial Distress in US Publicly Listed Firms: A Machine Learning Approach 
    Discussant: Sudheer Chava, Georgia Institute of Technology | 
| 11:00 am | Leaky Director Networks and Innovation Herding 
    Discussant: Eric C. So, Massachusetts Institute of Technology | 
| 11:45 am |  Lunch | 
| 12:44 pm |  Mutual Funds | 
| 12:45 pm | Fund Flows and Income Risk of Fund Managers 
    Discussant: Stijn Van Nieuwerburgh, Columbia University and NBER | 
| 1:30 pm | Displaced by Big Data: Evidence from Active Fund Managers 
    Discussant: Russ Wermers, University of Maryland at College Park | 
| 2:15 pm |  Break | 
| 2:29 pm |  Generative AI and Finance | 
| 2:30 pm | Generative AI and Firm Values 
    Discussant: Tania Babina, University of Maryland, College Park and NBER | 
| 3:15 pm | ChatGPT and Corporate Policies 
    Discussant: Gordon M. Phillips, Dartmouth College and NBER | 
| 4:00 pm | Asset Embeddings 
    Discussant: Serhiy Kozak, University of Maryland, College Park | 
| 4:45 pm |  Adjourn |