WEBINAR: Data Science in Finance - From Theory to Practice (Member-Only)
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WEBINAR: Data Science in Finance - From Theory to Practice (Member-Only)

When: Thursday, January 16, 2020
6:00 am - 1:30 pm PST
Where: Live Webinar
United States

Online registration is closed.
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Data Science in Finance - From Theory to Practice (Member-Only)

In Partnership with CFA Society New York

Hear from academics and practitioners on how data science techniques can be used in your investment process. Topics include: using machine learning for stock selection and for risk forecasting, machine learning explainability, predicting returns using textual analysis of news articles, measuring the state of the economy by analyzing business news, using loan applications to predict loan defaults. 



Solon Barocas, Cornell University, Microsoft Researc
Yuriy Bodjov, CFA, TD Asset Management
Zheng (Tracey) Ke, Harvard University
Bryan Kelly, Ph.D., Yale School of Management, AQR
Oded Netzer, Columbia Business School
Keywan Rasekhschaffe, Gresham Investment Management


6:00 am - Machine Learning for Stock selection with Keywan RasekhschaffeGresham Investment Management

7:00 am - Machine Learning for Risk Forecasting with Yuriy Bodjov, CFATD Asset Management

8:15 am - The Intuitive Appeal of Explainable Machines with Solon Barocas, Cornell University, Microsoft Researc

10:15 am - When Words Sweat: Identifying signals for Loan Default in the Text of Loan Applications with Oded NetzerColumbia Business School

11:30 am - Predicting Returns with Text Data with Zheng (Tracey) KeHarvard University

12:30 pm - The Structure of Economic News with Bryan Kelly, Ph.D., Yale School of Management, AQR



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