Big Data and Securities Markets

Itay Goldstein, Chester S. Spatt, and Mao Ye, Organizers

December 3-4, 2020

Conference Code of Conduct

Thursday, December 3
Meeting format: Authors, 20 minutes; discussants, 15 minutes; general discussion, 10 minutes.
10:55 am
Welcome
11:00 am
Alberto G. Rossi, Georgetown University
Stephen Utkus, University of Pennsylvania

Who Benefits from Robo-advising? Evidence from Machine Learning
Discussant: Tarun Ramadorai, Imperial College London
11:45 am
Jules H. van Binsbergen, University of Pennsylvania and NBER
Xiao Han, Bayes Business School, City, University of London
Alejandro Lopez-Lira, University of Florida

Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases (slides)
Discussant: Bryan T. Kelly, Yale University and NBER
12:30 pm
Break
1:00 pm
Sean Cao, University of Maryland
Wei Jiang, Emory University and NBER
Baozhong Yang, Georgia State University
Alan L. Zhang, Florida International University

How to Talk When a Machine is Listening: Corporate Disclosure in the Age of AI
Discussant: Lauren Cohen, Harvard University and NBER
1:45 pm
AJ Yuan Chen, University of British Columbia
Gerard Hoberg, University of Southern California
Vojislav Maksimovic, University of Maryland

Life Cycles of Firm Disclosures
Discussant: René M. Stulz, The Ohio State University and NBER
2:30 pm
Break
3:00 pm
William C. Gerken, University of Kentucky
Marcus O. Painter, Saint Louis University

The Value of Differing Points of View: Evidence from Financial Analysts' Geographic Diversity
Discussant: Christina Zhu, University of Pennsylvania
3:45 pm
Thomas Ernst, University of Maryland

Stock-Specific Price Discovery from ETFs (slides)
Discussant: Maureen O'Hara, Cornell University
4:30 pm
Adjourn
Friday, December 4
11:00 am
Laurent Fresard, University of Lugano and SFI
Thierry Foucault, HEC School of Management
Olivier Dessaint, INSEAD

Does Big Data Improve Financial Forecasting? The Horizon Effect
Discussant: Laura Veldkamp, Columbia University and NBER
11:45 am
J. Anthony Cookson, University of Colorado
Katie Moon, University of Colorado
Joonki Noh, Case Western Reserve University

Imprecise and Informative: Lessons from Market Reactions to Imprecise Disclosure
Discussant: Kathleen Hanley, Lehigh University
12:30 pm
Break
1:00 pm
Terrence Hendershott, University of California at Berkeley
Dan Li, Federal Reserve Board
Dmitry Livdan, University of California, Berkeley
Norman Schurhoff, University of Lausanne

True Cost of Immediacy (slides)
Discussant: Hendrik Bessembinder, Arizona State University
1:45 pm
Dermot Murphy, University of Illinois at Chicago
Edwin Hu, University of Virginia School of Law

Vestigial Tails? Floor Brokers at the Close in Modern Electronic Markets
Discussant: Joel Hasbrouck, New York University
2:30 pm
Break
3:00 pm
Tyler Beason, Virginia Tech
Sunil Wahal, Arizona State University

The Anatomy of Trading Algorithms
Discussant: Gideon Saar, Cornell University
3:45 pm
Talis Putnins, University of Technology, Sydney
Joseph Barbara, Australian Securities and Investments Commission

The Good, the Bad, and the Ugly: How Algorithmic Traders Impact Institutional Trading Costs
Discussant: Charles M. Jones, Columbia University
4:30 pm
Adjourn