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Big Data and High-Performance Computing for Financial Economics
Organized by Toni Whited and Mao Ye Supported by the National Science Foundation July 16, 2022 Cambridge, MA and Zoom |
| Friday, July 15 | |
| 6:30 pm |
Dinner at Royal Sonesta Hotel
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| Saturday, July 16 | |
| 8:30 am |
Continental Breakfast
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Retail Trading
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| 9:00 am |
Payment for Order Flow and Asset Choice
Discussant:
Neil Pearson, University of Illinois Urbana-Champaign |
| 9:45 am |
Retail Investors’ Contrarian Behavior Around News, Attention, and the Momentum Effect
Discussant:
Michaela Pagel, Washington University in St. Louis and NBER |
| 10:30 am |
Break
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Statistical Learning in Asset Pricing
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| 10:50 am |
The Statistical Limit of Arbitrage
Discussant:
Andreas Neuhierl, Washington University in St. Louis |
| 11:35 am |
Machine-Learning the Skill of Mutual Fund Managers
Discussant:
Alberto G. Rossi, Georgetown University |
| 12:20 pm |
Lunch - Charles Room
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Alternative Data in Corporate Finance
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| 1:20 pm |
Invisible Primes: Fintech Lending with Alternative Data
Discussant:
Manju Puri, Duke University and NBER |
| 2:05 pm |
Intellectual Property Protection Lost and Competition: An Examination Using Machine Learning
Discussant:
Alexander Ljungqvist, Stockholm School of Economics |
| 2:50 pm |
Break
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High-Performance Computing
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| 3:10 pm |
Programming FPGAs for Economics: An Introduction to Electrical Engineering Economics
Discussant:
Victor Duarte, University of Illinois Urbana-Champaign |
| 3:55 pm |
The Dark Side of the Cloud
Discussant:
Christina Zhu, University of Pennsylvania |
| 4:40 pm |
Adjourn
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