Mount Yale Capital Group, through its wholly-owned subsidiary Princeton Fund Advisors, has launched Alpha Intelligent (AI) ETFs – actively managed funds that combine Mount Yale’s manager research and selection capabilities with big data analytics and powerful machine learning.
These funds are based on Ensemble Active Management (EAM), which uses artificial intelligence techniques and predictive analytics of Ensemble Methods that have been utilised within other industries.
Mount Yale has already launched Alpha Intelligent SMAs, and with the launch of these new ETFs, AI ETFs become available on many of the largest investment platforms. This results in over 100,000 individual advisors having direct operational access to AI Strategies.
“We believe our investment research, combined with the power of ensemble methods, a machine learning technique used in applications such as Netflix® and Google MapsTM will enable our clients to participate today in what we believe is the future of active investment management,” states Greg Anderson, President of Mount Yale. “While introducing clients to this investment strategy, our response has been extremely positive.”
Mount Yale also becomes the first firm in the country to launch EAM-based ETFs. AI ETFs are currently available in the large-cap asset class (NYSE: AILG, AILV).
“Our AI Strategies are designed to bring an edge to actively managed portfolios, and we are pleased to be at the forefront of what we consider a groundbreaking approach to investing,” according to John Sabre, CEO of Mount Yale.
Paul Prentice, Senior Vice President for Enterprise Solutions at Mount Yale, says: “Traditional active management has suffered more than USD1 trillion in outflows over the past five years for a reason, and our clients are very interested in seeing a new approach to active management.”
