Big Data and Securities Markets
Upload/update your conference materials
-
Sean Cao, Wei Jiang, Baozhong Yang, Alan L. Zhang
How to Talk When a Machine is Listening: Corporate Disclosure in the Age of AI -
J. Anthony Cookson, Katie Moon, Joonki Noh
Imprecise and Informative: Lessons from Market Reactions to Imprecise Disclosure -
AJ Yuan Chen, Gerard Hoberg, Vojislav Maksimovic
Life Cycles of Firm Disclosures -
Dermot Murphy, Edwin Hu
Vestigial Tails? Floor Brokers at the Close in Modern Electronic Markets -
Terrence Hendershott, Dan Li, Dmitry Livdan, Norman Schurhoff
True Cost of Immediacy -
Jules H. van Binsbergen, Xiao Han, Alejandro Lopez-Lira
Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases -
William C. Gerken, Marcus O. Painter
The Value of Differing Points of View: Evidence from Financial Analysts' Geographic Diversity -
Thomas Ernst
Stock-Specific Price Discovery from ETFs -
Tyler Beason, Sunil Wahal
The Anatomy of Trading Algorithms -
Talis Putnins, Joseph Barbara
The Good, the Bad, and the Ugly: How Algorithmic Traders Impact Institutional Trading Costs -
Laurent Fresard, Thierry Foucault, Olivier Dessaint
Does Big Data Improve Financial Forecasting? The Horizon Effect -
Alberto G. Rossi, Stephen Utkus
Who Benefits from Robo-advising? Evidence from Machine Learning
Send questions to the NBER Conference Department (confer@nber.org).