The rapidly-evolving automation of virtually every aspect of modern financial markets has resulted in a complex, interdependent financial system: rich in data that correlate in ways both known and unknown, and subject to poorly understood crises and collapses. Complex order types and trading algorithms interact in unprecedented ways, further contributing to an often opaque system. The Finance spoke employs the most modern scientific tools — including machine learning, network science, data analysis and visualization — to improve our understanding, modeling, and management of modern markets.
Lead
|
Michael Kearns |
Website |
University of Pennsylvania |
PA |
Members
|
Martin Haugh |
Website |
Columbia University |
NY |
Yehuda Izhakian |
Website |
CUNY, Baruch College |
NY |
David Jensen |
Website |
University of Massachusetts, Amherst |
MA |
Andrew Lo |
Website |
Massachusetts Institute of Technology |
MA |
Oumar Nabe |
Website |
Reveal Analytics |
NY |
Jeffrey Saltz |
Website |
Syracuse University |
NY |
David Yao |
Website |
Columbia University |
NY |