Challenging "Stocks for the Long Run" with Jason Buck

Episode Summary

Executive Summary: Jason Buck argues that “stocks for the long run” is far less universal than U.S. history suggests. He highlights wide dispersion in global equity outcomes, the danger of relying on nominal returns, and the importance of sequencing risk. His solution is a broadly diversified, multi-asset, fractal portfolio built to perform across growth, recession, inflation, and deflation regimes.

Main Topics: Why U.S. stock market history may be an outlier (Priority: 5/5): Buck and Jack discuss how the U.S. benefited from industrialization, population growth, and global dominance, making its long-run stock returns potentially atypical versus the future. Real returns vs. nominal returns (Priority: 5/5): Buck stresses that investors care about purchasing power, not headline performance, and that inflation must be subtracted to understand true portfolio growth. Global dispersion in long-term equity outcomes (Priority: 5/5): The conversation examines how countries like Japan and others experienced extreme underperformance or negative rolling real returns, challenging the assumption that equities always rise over long horizons. Sequence risk and ergodicity (Priority: 5/5): Buck explains that average returns can be misleading because investors experience a single path through time; return sequencing can make a supposedly good investment outcome disastrous for a retiree. Portfolio construction through four quadrants (Priority: 4/5): Buck outlines a regime-based framework for growth, recession, inflation, and deflation, using diversified instruments to reduce dependence on any one macro outcome. Fractal diversification and ensemble investing (Priority: 4/5): He argues for diversification inside diversification—across asset classes, strategies, and managers—so the portfolio is robust to many different paths and market shocks. Withdrawal rates, leverage, and behavioral risk (Priority: 4/5): The discussion covers how diversified portfolios may support safer withdrawal rates, why prudent leverage can be different from reckless leverage, and why investors often panic after large drawdowns.

Key Arguments: U.S. stock market performance is historically exceptional, but that exceptionalism may not repeat because it was supported by unique conditions like industrialization and global dominance. Investors should focus on real returns, since inflation erodes purchasing power and makes nominal returns misleading for long-term planning. Global data show huge dispersion in equity outcomes; even developed markets can produce multi-decade periods of negative or very low real returns. Japan is a reminder that developed economies can have decades of poor stock returns without the underlying country collapsing. Average returns are not the same as investor experience because compounding happens along one path, not across an ensemble; sequencing risk can determine retirement success or failure. A broadly diversified portfolio across offense and defense is more robust than a concentrated stock-only approach when future regimes are uncertain. Long volatility and tail-risk strategies are difficult but valuable defensive tools, especially when diversified across managers and tactics. Prudent leverage can be used more safely in a truly diversified, convex portfolio than in a leveraged short-volatility portfolio. Behavioral discipline matters as much as math; large drawdowns often cause investors to capitulate and miss recoveries. The four-quadrant framework is designed to muddle through different macro environments rather than maximize returns in any single regime.

Data Points: U.S. stock market real return heuristic: About 6.5% to 7% real CAGR - Buck’s rough long-term estimate for U.S. equities after inflation Global developed market real return heuristic: About 5% real CAGR - Long-run developed market equity return estimate 60/40 portfolio real return heuristic: About 5% real CAGR - Approximate long-term real return for balanced portfolios Commodity trend followers real return heuristic: About 4% real CAGR - Long-term heuristic cited for trend-following strategies Bonds real return heuristic: About 2% real CAGR - Long-term bond return estimate Bills real return heuristic: About 0.5% to 1% real - Very low long-term real return on cash/bills Japan rolling 30-year real return: Negative 20% total real return - Example cited for Japan from 1990 to 2020 Global first percentile real return: Negative 94% - Extremes in 30-year rolling global stock market outcomes Global 99th percentile real return: 70x - Top-end 30-year rolling global stock market outcomes 25th percentile 30-year return: 82% total return / about 2% CAGR - Used to show that being below average can severely limit wealth growth Savings example under 25th percentile: $500,000 to $910,000 - Illustrates modest retirement asset growth under lower-return outcomes Savings example at average returns: $500,000 to $3.8 million - Illustrates the power of average compounding over 30 years U.S. negative real return period: 15 to 20 years - Buck says the U.S. had multiple long stretches of underwater real returns historically Great Depression drawdown: Negative 83% - Historical nominal stock market drawdown mentioned U.S. stock market nominal underwater period: 13 years and 4 months - From 2000 to 2013, highlighting recent long stagnation Peak drawdown in that period: Negative 60% - Nominal drawdown during 2000–2013 bear market Dow example total return: 8% annual average from 1966 to 1997 - Used to demonstrate how averages hide sequence risk Dow 1966–1982 outcome: $1,000 became $1,080 - Flat real-world growth over the first 15 years of the example Retiree withdrawal example: 6% withdrawal rate plus 3% annual inflation adjustment - Illustrates how poor sequencing can bankrupt retirees by year 13 Long-volatility/tail-risk allocation cost: 2% to 3% per year - Described as an insurance-like premium for protection Cockroach fund position count: 2,000 to 2,500 positions - Illustrates the breadth of the diversified portfolio implementation Fiat hedge allocation: 20% total - Portfolio allocation to gold and crypto hedges Gold allocation: 16% total, including 6% physical gold - Part of the fiat hedge sleeve Crypto allocation: 4% total - Split roughly into Bitcoin and Ethereum exposure Bitcoin allocation: About 2.5% - Approximate market-cap-weighted position Ethereum allocation: About 1.5% - Approximate market-cap-weighted position Long volatility manager universe: About 30 to 35 managers tracked; 14 allocated to - Shows ensemble approach in tail-risk sleeve Leverage heuristic: Broadly diversified portfolio could support 8x to 10x leverage in theory; firm uses about 2x - Buck uses this to argue their leverage is conservative relative to theoretical capacity

Pivotal Quotes: "the past is only one sample draw on an infinite series of sample draws" — Adam Butler: Cited by Buck to emphasize uncertainty and the non-repeatability of historical returns "defense wins investing championships" — Jason Buck: Explains the portfolio philosophy of pairing offensive assets with defensive hedges "if you don't have portfolio insurance, as Taleb said, you don't have a portfolio" — Jason Buck: Used to justify allocating to tail-risk and convex hedging strategies

Implications: Listeners should be cautious about extrapolating U.S. stock market history into the future. The episode argues for real-return thinking, sequence-aware retirement planning, and diversified portfolios that can survive multiple macro regimes.