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Thursday, December 3 | |
Meeting format: Authors, 20 minutes; discussants, 15 minutes; general discussion, 10 minutes.
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10:55 am |
Welcome
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11:00 am |
Who Benefits from Robo-advising? Evidence from Machine Learning
Discussant:
Tarun Ramadorai, Imperial College London |
11:45 am |
Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases
Discussant:
Bryan T. Kelly, Yale University and NBER |
12:30 pm |
Break
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1:00 pm |
How to Talk When a Machine is Listening: Corporate Disclosure in the Age of AI
Discussant:
Lauren Cohen, Harvard University and NBER |
1:45 pm |
Life Cycles of Firm Disclosures
Discussant:
René M. Stulz, The Ohio State University and NBER |
2:30 pm |
Break
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3:00 pm |
The Value of Differing Points of View: Evidence from Financial Analysts' Geographic Diversity
Discussant:
Christina Zhu, University of Pennsylvania |
3:45 pm |
Stock-Specific Price Discovery from ETFs
Discussant:
Maureen O'Hara, Cornell University |
4:30 pm |
Adjourn
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Friday, December 4 | |
11:00 am |
Does Big Data Improve Financial Forecasting? The Horizon Effect
Discussant:
Laura Veldkamp, Columbia University and NBER |
11:45 am |
Imprecise and Informative: Lessons from Market Reactions to Imprecise Disclosure
Discussant:
Kathleen Hanley, Lehigh University |
12:30 pm |
Break
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1:00 pm |
True Cost of Immediacy
Discussant:
Hendrik Bessembinder, Arizona State University |
1:45 pm |
Vestigial Tails? Floor Brokers at the Close in Modern Electronic Markets
Discussant:
Joel Hasbrouck, New York University |
2:30 pm |
Break
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3:00 pm |
The Anatomy of Trading Algorithms
Discussant:
Gideon Saar, Cornell University |
3:45 pm |
The Good, the Bad, and the Ugly: How Algorithmic Traders Impact Institutional Trading Costs
Discussant:
Charles M. Jones, Columbia University |
4:30 pm |
Adjourn
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