Chicago Booth ML in Finance

Chicago Booth

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Fall 2021

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