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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
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8:29 am |
News and Price Informativeness
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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
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10:14 am |
Corporate Finance
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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
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12:44 pm |
Mutual Funds
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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
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2:29 pm |
Generative AI and Finance
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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
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