Machine-learning earnings: Novel approach triples investment success

Wednesday, April 24, 2019

University of Waterloo researchers have developed a new framework that increases the probability of meeting your investment target by threefold.

The data-driven approach, which is enhanced by machine learning, significantly outperforms traditional methods used by investors and people saving for retirement.

Their research was motivated by the fact that both the private and public sectors are shifting away from defined benefit (DB) pension plans to defined contribution (DC) plans – a trend recently highlighted in a Federal Reserve Economics Research Note.

Click here to read more about on the views of Waterloo.ai Academic Members, Peter Forsyth and Yuying Li.

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