Rodrigo Gordillo & Corey Hoffstein - You Now Get To Have Your Beta Cake While Eating Your Alpha Too | #368

Episode Summary

Executive Summary: The episode explains “return stacking”: using leverage and capital efficiency to keep a traditional 60/40 core while adding diversifying return streams like managed futures, global macro, and tail hedges. The guests argue this can improve expected returns and resilience, especially in a low-return, inflation-prone world, and make institutional-style portfolio construction accessible to retail investors and advisors.

Main Topics: Return stacking as a portfolio framework (Priority: 5/5): The guests define return stacking as pairing a core 60/40 allocation with additional return streams through futures, funds, and modest leverage, so investors can access more than $1 of exposure per $1 of capital. Why the traditional 60/40 may be less attractive going forward (Priority: 5/5): They argue that U.S. equity valuations remain expensive and bond yields imply low forward returns after inflation and fees, making the classic 60/40 less compelling than in prior decades. Leverage as a tool, not a risk in itself (Priority: 5/5): The discussion reframes leverage as a capital-allocation choice: risk depends on what assets are combined with leverage, not leverage alone. Diversification plus leverage can raise expected returns at similar risk. Diversifiers: CTA, global macro, commodities, and tail protection (Priority: 5/5): They describe what can be stacked on top of 60/40, emphasizing managed futures, systematic global macro, commodities, and convex tail hedges to improve performance in inflationary or crisis regimes. Behavioral fit and advisor implementation (Priority: 4/5): A major theme is that mathematically optimal portfolios may have unacceptable tracking error, so practical solutions must align with client behavior, compliance constraints, and advisor narratives. Inflation, lived experience, and real-world purchasing power (Priority: 4/5): Rodrigo shares personal experience with Peru’s hyperinflation to explain why savers lose in fiat cash and why portfolios should be built to preserve purchasing power across regimes. Structural alpha and new product access (Priority: 4/5): Corey argues return stacking is a form of structural alpha made possible by ETFs and mutual funds that embed beta plus alpha, allowing retail investors and qualified accounts to access institutional techniques.

Key Arguments: The 60/40 portfolio can still be a useful anchor, but its bond sleeve offers much lower expected returns than in the past once inflation and fees are considered. Leverage should be viewed as a capital-efficiency tool: holding 50% in leveraged equities and 50% in short-duration high-quality bonds can be less risky than concentrating more heavily in equities. Diversification often lowers volatility and expected return; leverage can restore the desired risk level while keeping the diversification benefit. Passive commodity exposure is a blunt tool because commodities can be down in many years; active CTAs and systematic global macro may be more palatable because they aim to be positive most years. Inflation resilience requires a shotgun approach because no single asset is a perfect hedge across all inflation types and countries. Behavioral and advisor constraints matter as much as mathematical optimality; portfolios that clients cannot stick with are not truly optimal. The availability of modern mutual funds/ETFs makes institutional-style stacking accessible to smaller investors and advisors for the first time. Tail hedges and convexity can be layered in to protect the portfolio during rare but severe liquidity events when correlations spike toward one.

Data Points: Cropland lost to urbanization: approximately 4.8 acres per minute - Used in the episode’s ad copy to frame farmland scarcity and long-term agricultural demand. Peru inflation spike: 20% to 7,200% - Rodrigo cites Peru’s 1989 hyperinflation experience to illustrate why cash savings can be destroyed. Expected bond return rule of thumb: yield predicts forward returns over roughly 2 × duration minus 1 years - They explain why a bond’s starting yield is a strong predictor of long-run returns. Barclays Aggregate yield example: around 2.25% - Used as an illustrative starting yield for expected nominal returns in the bond sleeve. 1980s backtest start: 1987/1988 - Historical return-stacking model uses proxy indices going back to the late 1980s. Down years in historical backtest: about 5 to 6 down years - They note the strategy had very few negative calendar years in the historical simulation. Live index performance: +4.72% as of yesterday - Reported live performance for the return-stacking index at the time of recording. Historical allocation example: 61.8% equities, 40.3% bonds, 28% managed futures, 29.3% global macro - Illustrative blended exposure creating about 160% notional exposure from $100 invested. Target notional exposure example: 160% - The paper’s practical example of stacking return streams on top of a 60/40 core. Stock leverage illustration: 1.2x - They mention historical optimal leverage for stocks alone may be around 1.2 times. Safe leverage range for diversified portfolios: 400% to 500% historically before the growth hump is crossed - They argue diversified portfolios can support much more leverage than single-asset portfolios. Commodity return example: 35% annualized - Mid-to-late inflationary boom period example for commodities. U.S. equities in same boom period: 9% to 10% annualized - Used to contrast commodities’ inflation-period outperformance. T-bill / government bond real drawdown misconception: 50% or more in history - They cite historical real drawdowns to challenge the assumption that cash/bonds are always safe. Foreign government bond drawdown range: 60% to 80% - Used to show that sovereign bonds can suffer extreme real losses in some regimes.

Pivotal Quotes: "Leverage unlocks diversification and lets you eat sharp ratios." — Rodrigo Gordillo: He summarizes the core thesis that leverage can restore return after diversification improves the risk-adjusted profile. "What we’re advocating here is not say we want you to be levered and to escape the gravity of bonds, we want you to lever up your equities two times and just hold twice as much equity... The real magic here is in saying, Well, what if you hold something that is, say, two times equities, but only do it with 50% of your capital?" — Corey Hofstein: Explains why leverage is useful when paired with a different asset in the freed-up capital rather than simply adding more of the same risk. "You want active commodities. You want somebody to be there to manage that so that you don't get completely screwed up." — Meb Faber: Meb pushes the idea that active, systematic commodity exposure is preferable to passive long-only commodity exposure in inflation regimes.

Implications: Listeners should think less about owning fixed percentages of asset classes and more about combining capital efficiency, diversification, and behaviorally tolerable overlays. The approach could reshape advisor portfolios, especially for inflation and low-return eras.