August 23: Program
| 08:30 – 09:00 | Coffee and Registration |
Session 1 |
ML and Labor Market |
| Chair: Olga Obizhaeva, Stockholm School of Economics | |
| 09:00 – 09:45 | Artificial Intelligence and High-Skilled Work: Evidence from Analysts |
| Jillian Popadak Grennan, Santa Clara University Discussant: Xing Huang, Olin Business School Washington University |
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| 09:45 – 10:30 | From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses |
| Sean Cao, University of Maryland Discussant: Svetlana Bryzgalova, London Business School |
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| 10:30 – 11:00 |
Coffee |
Session 2 |
ML and the Stock Market |
| Chair: Riccardo Sabbatucci, Stockholm School of Economics | |
| 11:00 – 11:45 | Textual Analysis of Short-seller Research Reports, Stock Prices and Real Investment |
| Alejandro Lopez-Lira, University of Florida Discussant: Matthew Ringgeberger, University of Utah |
|
| 11:45 – 12:30 | Market Efficiency in the Age of Machine Learning |
| Leonidas Barbopoulos, University of Edinburgh Discussant: Antonio Gargano, C. T. Bauer College of Business |
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| 12:30 – 13:30 | Lunch |
Session 3 |
ML and Society |
| Chair: Ye Zhang, Stockholm School of Economics | |
| 13:30 – 14:15 | The Changing Economics of Knowledge Production |
| Simona Abis, Columbia University Discussant: Ansgar Walther, Imperial College |
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| 14:15 – 15:00 | Does Finance Benefit Society? A Language Embedding Approach |
| Asaf Manela, Washington University in St. Louis Discussant: Alejandro Lopez-Lira, University of Florida |
|
| 15:00 – 15:15 | Coffee |
Session 4 |
ML and AI Algorithms |
| Chair: Alvin Chen, Stockholm School of Economics | |
| 15:15 – 16:00 | Measuring Firm-Level Inflation Exposure: A Deep Learning Approach |
| Sudheer Chava, Georgia Institute of Technology Discussant: Michael Weisbach, Ohio State University |