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Written by: Alan Thomson | Founder & Chief Architect, Intervallum Technologies, LLC
Diversification. It’s been getting a bad rap lately.
After the cross-asset volatility of 2022, many investors began questioning whether the “free lunch” still exists. The industry’s response came quickly in the form of new toppings. Buffered ETFs, “democratized” private strategies, and alternative hedges – all marketed as ways to make diversification more palatable.
What if, though, the next evolution of the free lunch isn’t about what we consume, but rather how we consume it… if improving diversification has nothing to do with adding complexity, layering fees, or compromising liquidity, but returning to a core set of old truths?
We know that factors such as Value, Momentum, Size, and Quality explain much of the market’s long-term return.
We know that macroeconomic environments drive clusters of volatility and drawdown.
Today, advanced analytics allows us to see that long-only exposures to these factors behave differently depending on the macro-market regime and compels investors and advisors to consider dynamic exposures in pursuit of smarter beta.
Key Takeaways
- Traditional, static diversification struggles because performance depends on the prevailing macro regime.
- Dynamic, macro-aware factor investing adjusts exposures with the environment – enhancing risk-adjusted returns without adding cost or complexity.
- For advisors, this framework provides a disciplined, evidence-based way to manage risk and coach clients through market volatility.
From Factors to Regimes
ETFs that employ dynamic factor exposure total roughly $35 billion in assets today – a fraction of the multi-trillion-dollar “smart beta” universe. Ninety-five percent of that $35 billion sits in just two funds (OMFL and DYNF). The rest of the market remains largely static smart beta exposure.
Meanwhile, the conversation across institutions is shifting:
- Jay Rajamony of Man Numeric recently remarked that “factors are the way macro projects itself onto stocks.” You can find the full commentary on the macro-factor link in the October episode of Corey Hoffstein’s “Flirting with Models” podcast.
- FTSE Russell writes that its macro relevance framework “offers a simple, intuitive way to incorporate historical context into factor allocation.”
- Vanguard researchers, writing in the Journal of Financial Data Science, conclude:
By harnessing the synergy between macro-economic insights and machine learning techniques, our research opens avenues for optimizing portfolio allocation and enhancing investment decision-making in the ever-changing financial landscape.
- In their Time to Tilt paper, BlackRock adds that “factor performance is inherently cyclical … and adjusting allocations to factors over time may increase return potential and help deliver more consistent outcomes across varying market conditions.”
Furthermore, across the institutional landscape macro-consulting firms now engage with asset managers to dissect the macro exposures embedded within their portfolios. The conversation has moved from “smart beta” to “dynamic beta” – what we call Passive 3.0™.
This macro-factor relationship lies at the core of our work at Intervallum Technologies. In partnership with VettaFi, we have introduced the first macro-aware U.S. factor-rotation index, designed for use across ETFs, model portfolios, and direct-indexing platforms. The goal is simple: blend macro awareness with long-only factor intelligence to strengthen diversification without adding complexity for the end-investor.
What We See
Systematic macro-aware factor rotation changes how portfolios behave across cycles. In durable (growth-friendly) regimes, exposures tilt toward Momentum, Quality, and Size – factors historically rewarded when economic conditions are stable.
In fragile regimes, exposures shift toward low-beta and defensive characteristics, helping portfolios retain equity exposure while mitigating drawdowns. The following charts illustrate how this dynamic approach behaves through time and across the competitive landscape.
Figure 1: Macro-Aware Factor Rotation Extends the Smart Beta Frontier
Over the past decade, CrestCast’s macro-aware rotation index (CMAX100) compounded +346%, outpacing both the S&P 500 (+300%) and leading Smart Beta ETFs such as GSLC (+222%) and LRGF (+181%). By dynamically aligning factor exposure with evolving macro regimes, CrestCast achieves higher total returns with visibly smoother drawdowns.
Figure 2: Consistent Efficiency Across Full Market Cycles
A 10-year rolling Sharpe ratio shows CrestCast maintaining a persistent efficiency advantage over the S&P 500. Even through 2022’s volatility spike, CrestCast’s rolling Sharpe remained higher — evidence that regime awareness improves outcomes over entire cycles, not just isolated years.
Figure 3: Dynamic Macro Awareness Generates Meaningful Alpha at Lower Beta
Three-year alpha and beta across leading Smart Beta and dynamic factor ETFs show a clear frontier shift. Legacy multi-factor ETFs (LRGF, GSLC) cluster near 0–2% alpha with market-level beta. Newer dynamic entrants (OMFL, DYNF) add some differentiation in alpha. CrestCast’s CMAX100 stands apart: 4–8% rolling annualized alpha with 3-year beta consistently ear 0.70, a strong demonstration that macro aware regimes drive structural performance gains.
The Advisor Advantage
For advisors, the implications are significant. Clients increasingly expect portfolios that manage risk dynamically yet remain transparent and cost-effective: an elusive goal that macro-aware factor frameworks now make possible. Such strategies may operate within existing ETF or SMA structures and require no exotic instruments, preserving the liquidity and simplicity of traditional passive allocations.
Most importantly, macro awareness restores the spirit of diversification to navigating risk intelligently, rather than relying on indiscriminate exposures.
By recognizing the influence of macro regimes, advisors can deliver portfolios that behave differently when markets demand it most – helping clients stay invested and confident through uncertainty.
The “free lunch” still exists; it’s simply time to rethink how it’s served.
Related: Is the Passive Investing Era About To End? What History Says About the Next Market Swing