Data Science in Finance: From Theory to Practice

Thursday, January 16 | 8:30 AM - 5:30 PM

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Overview

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.

Agenda

8:30 AM | REGISTRATION & CHECK-IN

9:00 AM | MACHINE LEARNING FOR STOCK SELECTION

Keywan Rasekhschaffe, Gresham Investment Management

10:00 AM | MACHINE LEARNING FOR RISK FORECASTING

Yuriy Bodjov, CFA, TD Asset Management

11:00 AM | BREAK

11:15 AM | THE INTUITIVE APPEAL OF EXPLAINABLE MACHINES

Solon Barocas, Cornell University, Microsoft Research

12:15 PM | LUNCH

1:15 PM |  WHEN WORDS SWEAT: IDENTIFYING SIGNALS FOR LOAN DEFAULT IN THE TEXT OF LOAN APPLICATIONS

Oded Netzer, Columbia Business School

2:15 PM | BREAK

2:30 PM | PREDICTING RETURNS WITH TEXT DATA

Zheng (Tracey) Ke, Harvard University

3:30 PM | THE STRUCTURE OF ECONOMIC NEWS

Bryan Kelly, Ph.D., Yale School of Management, AQR

4:30 PM | NETWORKING & CATERED RECEPTION

Sponsorship Overview

A fundamental objective of CFA Society New York is to encourage the pursuit of high standards of ethics and professional conduct, and to promote integrity and professionalism throughout the financial investment industry. To that end, a ceaseless commitment to transparency is something we consider foundational to our cause.
Please be advised of the following information related to Society sponsorship:
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Disclaimer of Endorsement

References herein to any specific sponsor or service do not necessarily constitute or imply the endorsement, recommendation or favoring by CFA Society New York. CFA Society New York strives to be a community for diverse opinions and differing perspectives, and the views and opinions expressed by speakers, presenters and/or organizers at events do not necessarily state or reflect those of CFA Society New York.
CFA Society New York expects all attendees to comply with CFA Society New York's Code of Conduct while attending CFA Society New York events or meetings. CFA Society New York expressly reserves the right, in its sole discretion, to grant or deny access to any individual, or to expel any individual from any CFA Society New York event or meeting.
 

Refunds, Cancellations, and Substitutions

24 HOURS ADVANCED NOTICE OR MORE: Credit to be issued (to be used within 6 months)
LESS THAN 24 HOURS OR AFTER EVENT HAS STARTED: No refund
All requests for cancellation or refunds must be sent to [email protected]
 

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The information presented is provided for information purposes only, and is not intended to be and does not constitute financial advice, investment advice, trading advice, or any other advice, is general in nature, and is not specific to you.
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