Using AI-driven Portfolio Optimisation to Consider ESG Preferences in Portfolio Creation
Practising socially responsible investing has become a priority for many clients across the globe as markets are shaken in the wake of climate change and a global pandemic. However, catering towards sustainability preferences can be complicated and time-consuming. Using AI-driven portfolio optimisation can help advisors to factor in a myriad of sustainable preferences effortlessly.
Despite regulations such as the EU Disclosure Regulation 2019/2088 that introduces disclosure requirements regarding sustainability in the financial services sector, advisors may find it difficult to cater to sustainable portfolios. Not only do they have to navigate complex terminology, but simply being assured of what is and is not sustainable can be a complicated task. According to a recent Morningstar panel, advisors feel challenged in the realm of sustainable investments, with many not feeling comfortable enough to have such a conversation with clients.
Furthermore, current regulations merely require advisors to ask if clients have sustainability preferences. In the future, this will become much more granular, with clients expressing a desire for specific considerations such as green technology to be included in their portfolios. This is something we wish to further develop: the ability to construct an ideal portfolio that can cover all specific client preferences.
Fitness factors can cover financial key figures such as a return or sharpe ratio goal, a volatility cap, as well as asset classes, FX preferences and many more. Advisors or Portfolio Managers can define preferences and assign weights to the factors that are important to the client. This is also a key element of the INFINITECH project, which has set out to create solutions that can integrate as many client requirements as possible within investment advisory processes.
Sustainability can also be incorporated as an AI GO fitness factor.
Recently, Privé started a collaboration with a leading insurance company on an end-to-end advisory process that utilises parts of Privé´s AI-driven portfolio construction framework. By using the clients’ ESG definitions, it is possible there to incorporate sustainability as a key fitness factor. ESG largely refers to three dimensions of sustainability, namely: Environment, Social, and Governance. Investments made with ESG in mind have to be ecologically neutral or beneficial, be ethical or improve living conditions, and the company itself has to adhere to strict ecological and ethical guidelines. In the optimiser’s fund universe, all funds are tagged and filtered according to their sustainability. Here, sustainability can be determined either by the asset manager or from external data providers. The optimiser allows users to select the percentage weighting of the desired ESG compliance or sustainability grade of a portfolio proposal, and the fitness factor ensures that the desired weighting for ESG compatible investments in the portfolio is reached.
However, simply allowing clients to select sustainable options is not enough. Hyper-personalisation is an emerging trend in wealth management, with many clients expecting to be able to select, down to the wire, exactly what type of investments are being included in their portfolio. Here at Privé, we expect this to evolve into clients being able to choose which SRI path they wish to pursue, be it excluding fossil fuels or nuclear energy entirely from the portfolio, or avoiding companies and funds with a history of child exploitation or modern slavery.
INFINTECH funding has contributed greatly to our efforts in creating the AI based optimiser framework. Currently, Privé is researching various methods in developing fitness factors with sustainable subtopics in line with the United Nations’ 17 Sustainable Development Goals. These subfactors will, in the future, be incorporated into Privé´s AI-driven optimiser to further bolster our original framework based on further customer preferences.