We manage investment funds
that target better performance
In 2021, Large-cap funds continued their
underperformance for the 12th consecutive calendar year, as
85% of active large-cap funds trailed the S&P 500.
SPIVA Scorecard Report, Dec. 31st 2021
Traditional human asset management processes...
Have potential conflicts of interest
Have emotional prejudices and cognitive shortcomings
Do not consider how the data interact
Consider limited amounts of data
Are prone to human error
There is another way
Machines are not the same as humans
at finding patterns in data –
they are much better
EML takes advantage of a machine's ability to find patterns in data more accurately
than humans. We have built proprietary machine learning technology that looks through financial market data to select investments that are most likely to generate performance. Our portfolios have as a result outperformed their benchmarks over time.