The financial industry venerates size. A $50 billion AUM figure reads as a badge of competence. Investors have been trained to believe bigger equals safer, more established, more stable.
When it comes to generating alpha, this assumption inverts entirely. Size becomes friction.
Large funds face a structural problem: the bigger the portfolio, the harder it is to move quickly. A $50B multi-strategy platform can't rotate between sectors or shift ETF allocations without moving markets. Their own order flow creates slippage. Rebalancing becomes a multi-day process with execution costs that eat into edge. The result is slower positioning, stale allocations, and alpha that leaks out through the mechanics of being too large.
A smaller fund trading the same liquid ETFs and sectors doesn't face this constraint. We rebalance daily—rotating across sectors, adjusting exposures, and shifting allocations in response to changing signals—without the market impact that forces larger competitors to move slowly or in stages. When a regime shift demands repositioning from growth to value, or from broad equity exposure into volatility hedges, we execute that rotation cleanly and completely within a single trading session.
The nimbleness isn't about hunting obscure anomalies. It's about executing well-understood strategies—trend-following, mean reversion, sector rotation—faster and more precisely than funds whose size turns every rebalance into a logistical exercise.
At a large multi-strategy firm, a new idea goes through committee review, stakeholder alignment, compliance sign-off. Necessary at scale—but it creates latency.
A small systematic fund moves differently. Hypothesis on Monday. Backtest by Tuesday. Refinement Wednesday. Team agreement Thursday. Live deployment Friday. A new signal in production in five days.
At a large shop, that same workflow takes six weeks if the idea even survives committee. This isn't incompetence—it's governance at scale. But governance slows iteration. And when market regimes shift, the fund that detects it and recalibrates fastest has a critical advantage. Large funds often detect regime change through lagged performance reporting. Small funds detect it through real-time attribution and react within days.
The innovation cycle compounds. A fund that tests 50 hypotheses per year discovers more tradeable edges than one that tests 5. Most hypotheses fail—at Blackworks Capital, our rejection rate runs around 85%. But the winners accumulate, and the graveyard of failed ideas becomes institutional knowledge that sharpens future research.
At a large fund, layers of management buffer investors from decision-makers. You have a relationship with a business development officer who reports to a partner who sits on a committee. Your capital may be managed by someone you've never met.
At a founder-led fund, alignment is direct. The founder-CIO eats their own cooking. Their primary compensation is tied to fund performance. Their reputation is the fund. Personal capital is co-invested alongside LPs. If the fund loses money, the founder loses money first—and proportionally more. No hierarchy to hide behind.
This shapes risk-taking behavior. A founder with substantial skin in the game has stronger incentives to reject attractive-looking ideas with hidden fat-tail risks. A committee structure diffuses that responsibility.
Large multi-strategy funds often rely on leverage and derivatives to optimize returns. The complexity provides flexibility—and introduces hidden tail risks.
Our approach is deliberate constraint. No leverage, no derivatives, no futures. Every position is transparent. A drawdown is a drawdown, not a cascading margin call. There's no off-balance-sheet exposure, no embedded optionality. The portfolio is easy to understand, monitor, and audit.
We trade equities and ETFs—and rebalance daily. The absence of unwind costs or margin management makes daily rebalancing clean, without the complexity that slows larger competitors.
Blackworks Capital operates from this model. Sized to be nimble—large enough for real institutional infrastructure, small enough that research output translates directly to actionable signals. Rogan McGillis maintains direct engagement with portfolio construction and risk management. Co-investment aligns our economics with our investors'. Research cycles run at speed: hypothesis to deployment within weeks rather than months.
We offer full monthly liquidity, subject to some conditions. No long term lock-ups or gates constraining larger, more complex funds. Our organizational structure emphasizes collaborative depth over functional scale—researchers who understand our framework deeply enough to innovate within it, portfolio managers who monitor live performance daily, infrastructure that automates execution and reporting. No layer adds latency without adding signal.
The advantage doesn't show up in any single quarter. It compounds. A fund that tests twice as many hypotheses per year, deploys new signals four times as fast, and adapts to regime changes sooner will generate materially different results over a decade.
The myth that bigger is better persists. But alpha generation favors the nimble—firms sized to move fast, structured to align interests, and disciplined enough to reject mediocre ideas. Our conviction is that sustainable performance comes from the disciplined execution of objective, rules-based logic—and that execution is sharpest when the organization is built for speed, not scale.
Get in touch to explore how nimble, systematic investing can complement your allocation strategy.