Big Data: Long-Term Implications for Financial Markets and Firms.

• Position: Conference

An NBER conference on Big Data: Long-Term Implications for Financial Markets and Firms took place March 8 in Cambridge. Itay Goldstein of the University of Pennsylvania, Research Associate Chester S. Spatt of Carnegie Mellon University, and Faculty Research Fellow Mao Ye of the University of Illinois at Urbana-Champaign organized the meeting, which was supported by the National Science Foundation in conjunction with the The Review of Financial Studies. These researchers' papers were presented and discussed:

* Zheng Tracy Ke, Harvard University; Bryan T. Kelly, Yale University and NBER; and Dacheng Xiu, University of Chicago, "Predicting Returns with Text Data"

* Amber Anand, Syracuse University; Mehrdad Samadi and Kumar Venkataraman, Southern Methodist University; Jonathan Sokobin, Financial Industry Regulatory Authority, "Institutional Order Handling and Broker-Affiliated Trading Venues"

* Michael Gofman, University of Rochester; Sajjad Jafri, Queen's University; and James T. Chapman, Bank of Canada, "High-Frequency Analysis of Financial Stability"

* David Easley, Cornell University; Marcos Lopez de Prado, AQR Capital Management; Maureen O'Hara, Cornell University; and Zhibai Zhang, NYU Tandon, "Microstructure in the Machine Age"

* Jura Liaukonyte, Cornell University, and Alminas Zaldokas, Hong Kong University of...