Coeli Asset Management announced Wednesday the launch of a new systematic global macro fund, Prognosis machines, which will aim to detect which themes are favoured by investors as market conditions change.
The fund, managed by recent addition to Coeli Asset Management, Alex Gioulekas, draws upon Machine Learning and uses proven financial models together with artificial intelligence to achieve this goal. Gioulekas was the first CIO of IPM, a multibillion Swedish hedge fund, and has spent the last two years building the Prognosis Machines after selling his stake in IPM.
"Investors need a new strategy that can cope with the frequent risk-on/risk-off episodes," explained Alex Gioulekas. "Fundamental models do not work during risk-off and behavioural models get whipsawed when the market changes direction frequently. The Prognosis Machines solution is to use Machine Learning to discover what themese or assets investors favour as unknowable events, such as policy errors, crises and disasters, that shake the markets and to build the portfolio accordingly."
"We are very proud to bring this new technology to the market," commented Lukas Lindkvist, CEO of Coeli Asset Management. "The Prognosis Machines had a strong start in these testing times. We expect it to continue yielding competitive and uncorrelated return as well as to improve Coeli's overall offering."
Photo by Coeli
