Robeco Institutional Asset Management B.V. (Dubai office) is regulated by the Dubai Financial Services Authority (“DFSA”) and only deals with Professional Clients and does not deal with Retail Clients as defined by the DFSA.
Neither information nor any opinion expressed on the website constitutes a solicitation, an offer or a recommendation to buy, sell or dispose of any investment, to engage in any other transaction or to provide any investment advice or service. An investment in a Robeco product should only be made after reading the related legal documents such as management regulations, prospectuses, annual and semi-annual reports, which can be all be obtained free of charge at this website and at the Robeco offices in each country where Robeco has a presence.
To address these issues, Robeco enables investors to adjust their strategies according to a series of parameters. This feature is not new but it has become increasingly popular over time. “We offered the possibility to customize our strategies from the very beginning in 2002,” says Wilma de Groot, a portfolio manager of Robeco’s Quant Equities team. “However, we’ve definitely seen a growing number of specific requests from clients in recent years.”
For almost 15 years, Robeco has designed custom-made quant strategies, in close cooperation with its clients. Our proprietary portfolio Customizing Core Quant Strategies algorithm features a flexible set-up, so we can easily adapt to a variety of individual requirements. Based on this experience, we highlight three main areas of possible customization: the investable universe, the risk-return profile and the integration of sustainability criteria.
Defining a precise pool of investable stocks is certainly the most obvious way to adjust a portfolio to a specific need. Core Quant strategies can be applied to a variety of universes, as long as these remain broad enough to enable capturing factor premiums. As a result, portfolios can easily be geared to a particular geographical region or a certain group of business sectors, for example.
But the customization of our Core Quant strategies can go well beyond the definition of a restricted investment pool. By allowing a long only portfolio to deviate more or less from its benchmark, its expected tracking error can also be adjusted by between 0.5% and 5%.
Portfolios with tracking errors up to 1.5 percentage points are very good substitutes to passive strategies, as they aim to generate at least market like returns. “This is particularly relevant for investors looking for alternatives to passive strategies, which inevitably underperform the market once trading costs are taken into account,” says De Groot.
Portfolios with greater tracking error flexibility are more suitable for clients who aim to capture more of the factor premiums in a consistent way. Our research shows that the looser the tracking error criteria, the higher the expected returns tend to be.
We can implement stricter sustainability standards without losing too much factor exposure
Another area of customization is sustainability. All of Robeco’s quantitative equity strategies integrate ESG scores, based on RobecoSAM’s annual Corporate Sustainability Assessments. For all portfolios, we ensure ESG scores are at least higher than the benchmark’s own score.
Moreover, all our funds comply with Robeco’s general exclusion policy. But this is just a starting point. Depending on their own preferences, investors can request stricter criteria. This can be done, for example, through the use of client-specific exclusion lists. Targeting precise objectives, such as reducing carbon footprints is also possible.
Tighter investment rules and smaller stock pools obviously have an impact on a portfolio’s exposure to factors premiums. However, this relationship is not linear because our approach to sustainability ensures that we prioritize the selection of sustainable stocks with the best possible momentum and valuation characteristics. “That’s why we can implement stricter sustainability standards without losing too much exposure to factor premiums,” says De Groot.
This article was initially published in our Quant Quarterly magazine.