It will tap on machine learning and data to analyse stocks.
Goldman Sachs Asset Management (GSAM) is planning to introduce three quantitative equity strategies in Hong Kong that makes use of technologies like machine learning and big data to help managers pick stocks, reports South China Morning Post.
GRAM earlier received approval from the Securities and Futures Commission to expand these funds for the retail segment which were only previously available to private banking and institutional investors.
“We are at a point where technology is transforming all industries, so the question is why shouldn’t technology also be disrupting how we pick stocks,” Alison Lau, head of the quantitative investment strategies team at GSAM told SCMP.
The three quant equity funds are part of the seven funds which the firm will also be launching in the city.
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