Selected Conference Discussions

Simplified: A Closer Look at the Virtue of Complexity in Return Prediction by Buncic

Fintech Brings a Bias from Psychology Labs to a Two-trillion-dollar Market by Yan, Wang, Yuan, Qiu, Xiang, Xiao, Davidson

Memory and Beliefs in Financial Markets: A Machine Learning Approach by Chen, Huang

The Market’s Mirror: Revealing Investor Disagreement with LLMs by Bhagwat, Cookson, Dim, Niessner

Celebrity Persuasion by Benetton, Mullins, Niessner, and Toczynski

Machine Learning as Arbitrage:  Can Economics Help Explain AI? by Lu, Spiegel, and Zhang

Expectations Matter: When (not) to Use Machine Learning Earnings Forecasts by Campbell, Ham, Lu, and Wood

Does Market Selection Eliminate Unskilled Investors? Evidence from Chinese Brokerage Account Records by Pearson, Yang, and Zhang

Disagreement of the Employee Crowd and Asset Prices by Sheng