Ossiam ESG Opportunity

Investment Objective

The fund builds a long exposure global equities position chosen by active systematic selection, alongside short exposure to the global equity universe. The long exposure applies two Ossiam proprietary research-based frameworks proven over time: (i) Ossiam ESG machine learning selection, which aims to select stocks based on ESG metrics with material impact on financial performance, live since 2018, and (ii) Multi-factor selection, which aims to select stocks with overall positive exposure to traditional factors, and has been live since 2019. The beta resulting from the long portfolio is hedged by the short position on the global equity universe to mitigate the beta. The fund’s portfolio is rebalanced quarterly.