Chicago Booth
| Date | Presenter | Citation | Title |
|---|---|---|---|
| Sep 29 | Rayhan Momin | Choi and Zhang (2020) | Alpha Go Everywhere: Machine Learning and International Stock Returns |
| Oct 6 | Jingoo Kwon | Rossi and Utkus (2020) | Who Benefits from Robo-Advising? Evidence from Machine Learning |
| Oct 13 | Jingtao Zheng | Cao, Jiang, Wang, and Yang (2021) | From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses |
| Oct 20 | Federico Mainardi | Jansen, Nguyen, and Shams (2021) | Rise of the Machines: The Impact of Automated Underwriting |
| Oct 27 | Ben Marrow | Li, Mai, Shen, and Yan (2020) | Measuring Corporate Culture Using Machine Learning |
| Nov 3 | Sangmin S. Oh | Eisdorfer, Froot, Ozik, and Sadka (2019) | Competition Links and Stock Returns |
| Nov 10 | Aditya Chaudhry | Bybee, Kelly and Su (2021) | Narrative Asset Pricing: Interpretable Systematic Risk Factors from News Text |
| Nov 17 | Manav Chaudhary | Glaeser, Kincaid and Naik (2018) | Computer Vision and Real Estate: Do Looks Matter and Do Incentive Determine Looks |