J.P. Morgan launches US Applied Data Science Value Fund, Harnessing The Power of Data Science to Amplify Expertise in Fundamental Investing
J.P. Morgan Asset Management has recently 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 US 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.”
The fund represents the collaboration of existing teams including data scientists, technologists, and fundamental analysts. Together the teams created infrastructure to construct a cloud-based process that can analyze information at tremendous scale.
“Our investors have long used data as part of their research process. We have used our decades of proprietary data and expertise to build upon that tradition, leveraging the power of the cloud and our data science capabilities in order to analyze an ever-increasing volume of information. We’re able to apply that scale of information and insight to our investment decision-making processes,” said Mr. Reiner.
Recommended AI News: Longevity Science Foundation Launches Decentralised Blockchain Voting Programme
The firm has been working toward this combination of fundamental investment management and data science for some time, culminating in a new business unit to focus on the application of AI/ML to its business.
“We started the build out of our data science and equity data science teams about six years ago and have been applying capabilities across our investment teams,” said Kristian West, Global Head of Investment Platform for J.P. Morgan Asset Management. “Our new Investment Platform unit seeks to amplify the application of those capabilities, creating future-state strategies for our clients, and bringing under one roof our unique talent in investment data, data science, equity trading & analytics, derivatives and broker relationships.”
[To share your insights with us, please write to email@example.com]