Chicago Booth
| Date | Presenter | Citation | Title |
|---|---|---|---|
| Jan 10 M 11am | Michael Cuna | Lanza, Bernardini, and Faiella (2020) | Mind the gap! machine learning, ESG metrics and sustainable investment |
| Jan 17 M 11am | MLK Day | ||
| Jan 24 M 11am | Ben Marrow | Dim (2021) | Should Retail Investors Listen to Social Media Analysts? Evidence from Text-Implied Beliefs |
| Jan 31 M 11am | Jingoo Kwon | Bianchi, Ludvigson, and Ma (2020) | Belief Distortions and Macroeconomic Fluctuations |
| Feb 07 M 11am | Aditya Chaudhry | Hansen, McMahon, and Prat (2018) | Transparency and deliberation within the FOMC: A computational linguistics approach |
| Feb 14 M 11am | Jingtao Zheng | Mayew and Venkatachalam (2012) | The Power of Voice: Managerial Affective States and Future Firm Performance |
| Feb 21 M 11am | Sangmin S. Oh | Sautner, Lent, Vilkov, and Zhang (2020) | Firm-level Climate Change Exposure |
| Feb 28 M 11am | Mingwei Ma | Obaid and Pukthuanthong (2020) | A Picture is Worth a Thousand Words: Measuring Investor Sentiment by Combining Machine Learning and Photos from News |
| Mar 7 M 11am | Federico Mainardi | Hobson, Mayew, and Venkatachalam (2012) | Analyzing speech to detect financial misreporting |
| Mar 14 M 11am | TBD | Research Session | TBD |