Machine Learning in Finance

Friday, March 6, 2015 - 9:00am to 5:00pm
Columbia University
417 International Affairs Building
New York, NY 10027
United States

The Data Science Institute (DSI) at Columbia University and Bloomberg LP are pleased to announce a workshop on “Machine Learning in Finance”. This workshop will bring together preeminent speakers in the fields of machine learning and finance to offer insights for practitioners and academics. Topics will include the use of options data to detect insider trading and the use of Google search data to detect early warnings of financial crises.

The workshop will be held at Columbia University under the auspices of the Financial and Business Analytics Center, one of the constituent centers in the DSI, and the Center for Financial Engineering.

This event is sponsored by the Data Science Institute at Columbia University and Bloomberg L.P.

Confirmed speakers include:

Scott Bauguess
Deputy Director, Division of Economics and Risk Analysis, SEC

Shawn Mankad
Assistant Professor of Business Analytics, Robert H. Smith School of Business, University of Maryland

Tobias Preis
Associate Professor of Behavioural Science & Finance, Warwick Business School

Stephen Purpura
Founder and CEO, Context Relevant

Marti Subrahmanyam
Charles E. Merrill Professor of Finance, Economics and International Business, NYU Stern

 

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