Fund ESG Integration
The fund employs a limited number of exclusions based on Aviva Investors' UK Responsible Investment (RI) policy framework. This includes but is not limited to companies involved in weapons/arms, thermal coal, arctic oil and oil sand and tobacco. These screens are subject to revenue thresholds. Aviva Investors will also divest from companies which they consider to have not met the principles set out in the UN Global Compact (UNGC) and have not implemented an appropriate remediation plan within an acceptable timeframe.
AI have a proprietary ESG model that has been developed in conjunction with Aviva Quantum, their parent company's global data science practice. The model called “ESG Elements” generates scores for around 30,000 securities, tailored by sector and linked to financial market performance. They use a quantitative approach to select ESG related features that have a proven correlation with future returns. The underlying data the model uses comprises MSCI Environment, Social and Governance pillar scores and Accounting and Governance (AGR) scores, as well as their own proprietary voting records, with weightings of 50%, 30% and 20% assigned to each category respectively. Company scores are adjusted to make the model's output sector neutral. This improves comparability, enabling users to easily find the best or worst companies in any given sector. For example, if a user decided to filter out all companies with an ESG Elements score below 2, they would not automatically reject all companies in the energy sector. Adjustments are also made for company size and regional exposure. The government bond portion of the portfolio also integrates ESG factors into its process. Sovereign ESG integration incorporates a quantitative and qualitative approach in considering ESG and sustainability factors. On the quantitative side, they utilise a proprietary ESG monitoring tool, the 'ESG Sovereign Monitor', to assign a composite ESG score to 176 sovereign debt issuers. The ESG score for a country is derived from over 400 underlying data points that form 11 headline composite indicators. In addition, their ESG analyst team supplements the ESG data scores with qualitative commentary and forward-looking insights on a core group of developed and emerging-market issuers, conducting research into ESG performance in real-time and identifying countries that are likely to be positively or negatively re-rated.
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