Amundi Machina Systematic Equity

Investment Objective

The Sub-Fund’s investment objective is to seek capital appreciation over the medium to long term, by gaining exposure to listed large and mid-cap companies. Exposure will be achieved by investing (on a long and short basis) in equity securities of companies, in both developed and emerging markets through the use of the instruments described in the fund supplement. The combination of long and short exposure to equities achieved by the fund will be intended to have a limited correlation to the equity markets therefore resulting in a so-called “equity market neutral” exposure.

Latest Meeting Note

Meeting 11 Apr 2025

Machina Capital is a Paris-based investment firm founded by equity derivatives traders and quantitative research specialists. Machina focuses on mid-frequency quantitative strategies, employing a market-neutral approach designed to deliv...

Machina Capital is a Paris-based investment firm founded by equity derivatives traders and quantitative research specialists. Machina focuses on mid-frequency quantitative strategies, employing a market-neutral approach designed to deliver absolute and uncorrelated returns with low correlation to global equity markets. Targeting low-to-mid double-digit returns, the fund aims for an annualised volatility of approximately 8% and a Sharpe around 1+. Machina uses proprietary statistical models, including advanced machine learning techniques, to uncover complex and non-linear dynamics within global equities, while the process identifies opportunities across various frequencies, typically holding positions from two or three days to two weeks. Portfolio construction integrates an extensive library of signals derived from diverse data sources, such as market prices, earnings forecasts, NLP-driven news classifications, and regulatory filings. These signals are continuously updated and aggregated through advanced clustering techniques and optimised under stringent risk management criteria. The investment process operates through a proprietary four-step cycle repeated continuously throughout each trading day: data collection and updating, signal computation, portfolio optimisation, and trading execution. The strategy will trade equities across various countries; the investment universe counts 1000 stocks in the US and 600 stocks in developed Europe. The strategy is fairly sector neutral too (+/-10% beta adjusted) and regional exposure is balanced between Europe and the US.

Performance

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC YTD
2024 0.4 0.9 0.9 0.9 0.3 0.7 0.3 0.0 0.5 0.7 0.7 0.1 0.7
2023 0.3 1.0 0.3 0.9 1.0 0.3 0.6 0.4 0.5 0.1 0.4 1.0 0.4

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