J.P. Morgan Asset Management has launched its first mutual fund employing a data-science-driven investment process, combining fundamental research, data insights, and risk management to identify attractively priced equity securities. The J.P. Morgan U.S. Applied Data Science Value Fund (JPIVX) combines the firm's decades of information and data sets accumulated by equity-research analysts with the breadth and scale provided by J.P. Morgan's data-science capabilities.
“The end-to-end data science investment process behind the product is the culmination of many years of building, iterating, and improving on the application of AI and ML techniques,” said Hamilton Reiner, head of U.S. structured equity for J.P. Morgan Asset Management. “The investment process is driven by machine learning and works off the core belief that there is significant alpha potential in portfolio construction, creating value through both security selection and allocation decisions.”
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