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The Role of Machine Learning in Quantitative Investing
AGF’s Tingting Lu explains the role of machine learning in quantitative investing.
Portfolio Manager
AGF Investments Inc.
Tingting Lu serves as Portfolio Manager of the AGF U.S. Sector Strategy, including its related Funds and Separately Managed Accounts (SMAs). With her extensive background in quantitative research and investing, she contributes to the development and enhancement of AGF’s quantitative investment strategies, and works with the rest of investment team on managing equity, fixed income and multiasset portfolios.
Tingting began her career with AGF in 2014 as part of the Highstreet* Investment Management team. She is a key contributor to AGF’s Quantitative Investing team, which is grounded in the belief that investment outcomes can be improved by assessing and targeting the factors that drive market returns. Tingting previously worked in model risk management for a large Canadian financial institution. She has more than a decade of financial industry experience and seven years of quantitative research experience in Astrophysics.
Tingting has a Ph.D. in Astrophysics from the University of Toronto and is a CFA® charterholder. She also obtained a Bachelor of Science from Peking University.
*Highstreet Asset Management Inc. is a wholly-owned subsidiary of AGF Investments Inc. CFA® and Chartered Financial Analyst® are registered trademarks owned by CFA Institute.
AGF’s Tingting Lu explains the role of machine learning in quantitative investing.