Chicago Booth ML in Finance

Chicago Booth

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Winter 2020

Date Presenter Citation Title
Jan 20 Fulin Li Linn and Weagley (2019) Uncovering Financial Constraints
Jan 27 Will Cassidy van Binsbergen, Han, and Lopez-Lira (2020) Man versus Machine Learning: Earnings Expectations and Conditional Biases
Feb 3 Blair Vorsatz Aubry, Kraussl, Manso, and Spaenjers (2020) Biased Auctioneers
Feb 10 Aditya Chaudhry Coulombe (2020) The Macroeconomy as a Random Forest
Feb 17 Sangmin S. Oh Jha, Liu, and Manela (2020) Does Finance Benefit Society? A Language Embedding Approach
Feb 24 Blair Vorsatz Murray, Xiao, and Xia (2020) Charting By Machines
Mar 3 Rayhan Momin Cai, Hanley, Huang, and Zhao (2020) The Pricing of New Corporate Debt Issues
Mar 10 Aditya Chaudhry Lee (2020) What Explains the Cross-Section of Stock Return Reaction to Macroeconomic News? A Machine Learning Approach