BlackRock Global Equity Market Neutral Fund Institutional Shares BDMIX

BlackRock Global Equity Market Neutral’s high-quality quantitative team and robust yet flexible research process are its key attractions. BlackRock’s systematic active equity group, the firm’s well-regarded quantitative equity team, oversees this market-neutral equity strategy. The firm's foray into Big Data and building of a best-of-breed infrastructure has led to a USD 250-plus billion behemoth. Kevin Franklin runs the group's global long-short strategies and has final say on the metrics used in this fund's quantitative model and its portfolio construction, while Richard Mathieson is responsible for the day-to-day execution of the strategy. This is a team-based approach, however, as the portfolio managers are supported by around 40 researchers and benefit from the deep resources at BlackRock in data analytics, natural language processing, and machine learning. This strong and stable team, coupled with the firm’s vast resources, make a powerful combination. Scale and uniqueness are the key differentiating features here. The strategy is mainly focused on generating returns that are differentiated from traditional market exposures and risk factors. It achieves this by marrying its experienced research team with top-tier technology to convert fundamental and alternative data, like company and broker transcripts, mobile phone, internet search, job postings, and climate data, into individual alpha-generating signals that combine to form its stock-selection model. In all, the team blends dozens of signals pertaining to company fundamentals, market sentiment, and macro themes to rank the entire universe of 7,000 developed-markets equities. With an average net market exposure of less than 10% since its 2012 inception, the strategy depends on the evolution of those stock-selection signals to guide its portfolio construction, combining human inputs with machine learning techniques to find an optimal blend that can withstand a range of market scenarios. The team seeks to deliver a Sharpe ratio of around 1 with mid-to-high single-digit realized volatility. The research process that underpins these signals is repeatable and robust yet flexible enough to fast-track new ideas into live signals during quickly changing market environments like the early days of the pandemic, the postvaccine rally, and more recently with the emergent artificial intelligence theme or bank balance-sheet quality. The approach depends on ongoing incremental improvements to maintain a competitive edge, though, which makes the fund’s performance trajectory less predictable. The team has kept a relatively conservative profile for much of the strategy’s history, with an average 250%-300% gross exposure diversified across around 2,000 long and short holdings. Since 2022, though, the managers have relaxed those guidelines by increasing leverage significantly to about 600% and doubling the number of positions. The changes should provide more bang for the buck. Recent results have been exceptional, and the team has charted a steady course through rough market conditions. Still, despite its potential, this approach carries notable risks, in our view, especially related to leverage, model, and capacity.