AQR Report: Can Machines „Learn“ Finance?

AQR‘s Portfolio Solution Group this week published a short but important research study on whether Machine Learning can be useful for asset management.

The executive summary states that research into ML for asset managment is just in its infancy, but that early evidence suggests that ML tools can potentially improve investment portfolios, with application of AI and ML techniques as a „natural evolution for investment research.“

The paper concludes with that ML for asset management is „an evolution, not a revolution.“

Read the full research report on AQR‘s website.

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Written by

Daniel Enskat

Daniel has written over a dozen books on the global asset management industry and has lectured at universities around the world alongside speakers such as Secretary of State John Kerry, Dr. Mark Mobius, ex-Fed Chairman Alan Greenspan, Professor KC Chan and former Prime Minister Gerhard Schroeder.

He is widely sought after for presentations, discussions and his perspective on the global asset management industry, and in the last two decades has advised hundreds of investment management CEOs on strategy and global expansion.