Robeco has launched an actively managed global small-cap ETF powered by machine learning.
The NextGen Global Small Cap ETF combines the firm’s quantitative investment heritage with AI techniques designed to extract alpha from one of the least efficiently covered areas of global equity markets.
The strategy uses machine learning to identify non-linear relationships in return drivers. The model captures interactions between signals across different investment horizons and adjusts their weightings at the stock level.
By identifying patterns that traditional quantitative models may miss, the approach aims to improve stock selection in a segment often marked by informational inefficiencies. Human oversight remains part of the process, particularly during periods of market stress, shared the asset manager.
Nick King, head of ETFs at Robeco, said: “Investing in small caps aims to enhance long-term return potential and provide diversification benefits. The NextGen Quant team have developed a unique AI-powered process to select stocks from this incredibly broad universe, while maintaining disciplined risk management. Wrapping the strategy as an ETF makes it efficient and accessible to clients.”
The ETF was developed within Robeco’s NextGen Quant Program, a research initiative focused on developing and bringing new quantitative strategies to market. The platform combines emerging technologies with the firm’s existing systematic investing capabilities.
The small-cap strategy is the latest iteration of the approach and focuses on an asset class that is often underrepresented in diversified portfolios.
AI, asset management and the compliance conundrum
Small caps can offer different return drivers compared with large-cap equities and provide exposure to companies earlier in their growth cycle. Their performance is often less directly tied to global macro trends, which may support diversification within broader equity allocations.
Mike Chen, head of NextGen Quant at Robeco, said: “The NextGen Quant Program is transforming cutting-edge ideas into real investment strategies, complementing our flagship offerings and offering clients something truly differentiated. This new active ETF stands out because it applies advanced machine learning to one of the market’s least efficient segments. With thousands of under-researched small-cap companies, the universe offers an ideal environment for an AI-driven strategy to add real value.”
