Process:
The strategy’s robust foundation, high repeatability, discipline, and consistent execution remain attractive features. The team’s relentless efforts to implement new elements to the process, these also make the approach more complex and have led to a slight change of portfolio characteristics, which is appreciated. This rules-based, quantitative process is built on extensive academic research demonstrating that investing in low-risk stocks leads to better risk-adjusted returns. After an initial liquidity filter, Robeco’s quant model ranks the 4,500-stock universe on a multidimensional risk factor (volatility, beta, and distress metrics), combined with value, quality, sentiment and momentum factors. In recent years, the team has introduced several enhancements to refine the model, including short-term momentum-driven signals that can adjust a stock’s ranking up or down by maximum 10 percentage points. This should prioritize buy decisions for stocks that rank high in the model and score well on short term signals, and vice versa. Since 2020 the team also allows liquid mega-caps to have a higher weight in the portfolio. Top-quintile stocks are typically included in an optimisation algorithm that considers liquidity, market cap, and 10-percentage-point country and sector limits relative to the MSCI World Index. A 200-300 stock portfolio is constructed with better ESG and carbon footprints than the index, while rebalancing takes place monthly, generating modest annual turnover of about 25%. Stocks are sold when ranking in the bottom 40% of the model.
Portfolio:
The defensive nature of the strategy currently translates into a higher allocation to low-beta and high yielding stocks in the consumer staples and communication services sectors, while industrials, energy and technology stocks are a large underweight. The valuation factors embedded in the model have steered the fund clear from MSCI ACWI index heavyweights Amazon.com AMZN, Tesla TSLA, and NVIDIA NVDA, while Microsoft MSFT and Apple AAPL were underweighted. Valuations make the fund lean towards European stocks while the U.S. stock market was an 8.8% underweight versus the index per November 2021. The model does like U.S. consumer defensives though, with larger positions for Proctor & Gamble PG, Walmart WMT, and Target TGT. The quant approach gives management wide latitude to invest across the market-cap spectrum, and the diversified 200- to 300-stock portfolio has long exhibited a small/mid-cap bias compared with the index.
People:
The team running this strategy is large, experienced, and stable. As such, it earns an Above Average People rating. This fund follows an entirely quant-based approach, an area where Robeco has extensive experience and expertise, and where it has invested heavily in human resources over the years. Robeco’s quant team runs various strategies: core quant equity, factor investing, and conservative equity, but there is significant interaction between them. The conservative equity team that runs this fund is led by Pim van Vliet, whose academic work has laid the foundation of the fund’s philosophy.
Performance:
This defensive strategy has generally offered good volatility reduction during turbulent markets. Robeco QI Global Conservative Equities’ C € share class absorbed 67% of the losses of the MSCI ACWI Index since inception. However, its results versus the MSCI ACWI Minimum Volatility Index have been less consistent. Disappointingly, it did not live up to its expectations in the corona-dominated markets of 2020, though the strategy’s failure can be explained by market dynamics in relation to the fund’s strategy. The portfolio lagged during the subsequent recovery that again benefited tech and ecommerce stocks, and while the value rally in the final quarter did help, cyclical value stocks that are not favoured here rallied the most.
(Source: Morningstar)
Price:
Analysts find it difficult to analyse expenses since it comes directly from the returns. Analysts expect that it would be able to deliver positive alpha relative to its category benchmark index.
(Source: Morningstar) (Source: Morningstar)
About Funds:
Robeco’s quant-based conservative equities range is managed by a stable and experienced six-member team led by Pim van Vliet. They are supported by a group of 10 quantitative researchers led by David Blitz and a similarly sized group of data scientists. This credentialed team is vital to the fund’s success as it constantly refines the models used in the funds. It is also reassuring that Robeco’s broader quantitative team has successfully groomed quantitative researchers in its talent pool, allowing them to add people with complementary skills to the teams. The strategy’s academic foundation, repeatability, discipline, and consistent execution give us confidence. The rules-based, quantitative process is built on empirical research demonstrating that investing in low-risk stocks leads to better risk-adjusted returns. It goes beyond traditional low-volatility investing, combining a multidimensional risk factor with value, quality, sentiment, and momentum factors. Top-quintile-ranked stocks are included in the portfolio after running an optimisation algorithm.
(Source: Morningstar)
General Advice Warning
Any advice/ information provided is general in nature only and does not take into account the personal financial situation, objectives or needs of any particular person.