Peter Hecht, Managing Director and Head of the North America Portfolio Solutions Group at AQR Capital Management, will explore of the topic of Machine Learning, and specifically if machine learning techniques can be used to improve market timing strategies and to construct stock selection strategies.
Peter will discuss the "virtue of complexity” and its validations, showcasing practical examples of how machine learning can be applied to investment theory.
This event qualifies for up to 1 PL credit. CFA Society Switzerland members can record PL credit for their participation using the online tracking tool (CFA Institute login required).
Agenda
Registration
University of Zurich, room KOL-H-317
Welcome by CFA Society Switzerland
Konstantinos Pampoukidis, CFA, Professional Learning Committee Member, CFA Society Switzerland
Can Machines Build Better Stock Portfolios?
Speaker:
Peter Hecht — Managing Director and Head of the North America Portfolio Solutions Group, AQR Capital Management
Apero
Networking & Farewell
Speaker
Peter Hecht
Managing Director and Head of the North America Portfolio Solutions Group, AQR Capital Management
Peter Hecht
Peter Hecht is a Managing Director and Head of the North America Portfolio Solutions Group at AQR Capital Management. In this role, Pete focuses on advising clients on portfolio challenges and investment strategies, and developing thought leadership and investor education pieces.
Prior to AQR, Pete was a senior investment strategist with Evanston Capital Management. He has also served in various portfolio management and strategy roles for Allstate’s insurance portfolio and pension plan. Before that, Pete was an Assistant Professor of Finance at Harvard Business School.
Pete earned a B.S. in economics and engineering sciences from Dartmouth College as well as an M.B.A. and Ph.D. in finance from the University of Chicago, where he was Eugene Fama’s student and teaching assistant.
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