Excess Returns
Excess Returns

The Average Return That Never Comes | Sam Ro on 10 Stock Market Truths Investors Get Wrong

In this episode of Excess Returns, we sit down with Sam Ro to revisit his widely read post “10 Stock Market Truths” and explore how each principle holds up in today’s market. From the long game of investing to short-term risks, valuations, AI, and earnings, Sam shares a timeless framework for naviga

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Executive Summary: The episode revisits Sam Rowe’s “10 truths about the stock market,” arguing that markets reward long-term patience but punish short-term reactions. The conversation emphasizes volatility, earnings, turnover, AI-driven upside, and the limits of valuation timing, while warning that concentration and overconfidence create real risks even in broadly constructive markets.

Main Topics: Long-term investing beats short-term noise (Priority: 5/5): The guests argue that daily market movements can look like a coin flip, but longer horizons reveal a persistent upward bias. They frame the stock market as noisy in the short run but resilient over time. Volatility and drawdowns are normal (Priority: 5/5): Using a JPMorgan chart, they stress that large intra-year declines happen almost every year even in positive market years. Investors should expect turbulence rather than panic at the first sign of red. Average returns are misleading (Priority: 5/5): They argue that the commonly cited 8%-10% average return hides a highly uneven distribution: strong positive years and modest negative years create the average, not a smooth yearly experience. Earnings are the main driver of stock prices (Priority: 5/5): The discussion links equity performance to corporate earnings growth and profit margins, especially in the context of AI-related productivity gains and strong forward earnings expectations. Valuations matter, but mostly over long horizons (Priority: 4/5): They contend that valuation ratios like CAPE have weak predictive power for next-year returns but are more informative over 8-10 years. Current elevated valuations do not necessarily imply an imminent decline. AI, concentration, and asymmetric upside (Priority: 4/5): AI is presented as a major potential catalyst, but likely one that benefits a small set of winners while creating concentration risk. The episode warns that investors may overpay for a theme before the ultimate winners are known. Turnover, uncertainty, and the economy-market divide (Priority: 4/5): The market is shown as dynamic, with substantial index turnover over time. The speakers also note that the stock market is not identical to the economy, and that U.S. exceptionalism may persist due to governance, incentives, and global revenue exposure.

Key Arguments: The stock market’s short-term behavior is close to random, but its long-term trend is historically upward. Big intra-year drawdowns are normal, so investors should mentally prepare for volatility instead of treating it as a crisis. The widely taught 8%-10% annual return figure is misleading because actual yearly outcomes are clustered around much larger positive and negative swings. Earnings growth provides the best explanation for why stock prices rise over time; price moves are ultimately anchored to corporate profitability. Valuations can indicate how much you are paying for earnings, but they do not reliably forecast the next year’s return. AI likely creates both upside and risk: it may improve productivity broadly, but market gains may be concentrated in a few winners and the theme may overshoot. Most feared risks are usually already priced in; the more dangerous threats are the ones not widely discussed or understood. The U.S. stock market is not just the U.S. economy; many large U.S. firms generate significant revenue abroad and benefit from distinct governance and incentive structures. Index turnover helps explain why markets rise over time: laggards are replaced by stronger companies. Investors should avoid forced all-passive behavior if they have a natural appetite for analysis and risk; some risk-taking can be channeled outside core portfolios.

Data Points: One-day market direction: About a coin flip - Sam Rowe explains why daily financial news creates the illusion that stocks are random in the short run. Average positive year return: About 20% - Referenced to show that strong up years are common and make the 8%-10% long-run average misleading. Average negative year return: About -9% to -10% - Used to demonstrate that bad years are often less severe than investors might assume, but still meaningful. SP 500 annual returns sample period: 1980 to 2020 - The JPMorgan intra-year drawdown chart discussed on the show spans these years. Intra-year declines: Roughly -14% on many years, with extremes near -49% - Illustrates the magnitude of drawdowns investors experience even in years that finish positive. Bear market / bull market comparison: Bull markets last 5.5 years on average and are about 4x longer than bear markets - From the Callie Cox chart used in the asymmetric upside discussion. Average bull market gain: 183% - Shows the asymmetry between upside and downside across market cycles. Passive investing share: More than 50% of ETFs and mutual funds - Used to discuss the rise of indexing and whether passive investing could eventually distort markets. US equity index weighting: SP 500 is about 80% of total US stock market value - Supports the point that the SP 500 effectively represents the U.S. market. Foreign revenue share of SP 500 companies: 30% to 40% of revenue generated outside the U.S. - Used to show that the U.S. stock market is not the same thing as the domestic economy. Index turnover: About 5% of the SP 500 turns over each year - Illustrates that even major indices are dynamic and replace laggards over time. 10-year replacement rate: About one-third of SP 500 companies are replaced every decade - Used to explain market dynamism and the role of turnover in long-term returns. CAPE ratio historical range: Roughly 5 to 45 over the past century - Referenced to show how valuations vary widely across cycles. Forward return forecast from valuation: 8 to 10 years is the horizon where valuations matter more - The speakers argue valuation has little one-year predictive power but more relevance over longer horizons. AI adoption: Widespread across age groups, from children to adults - Used to support the view that AI uptake has been unusually rapid and broad. Mag 7 concentration: Top mega-cap stocks are roughly 30% to 40% of the index - Used in the discussion of concentration risk and AI-related market dependence.

Pivotal Quotes: "Maybe the most misleading thing an entry-level investor is ever taught is that the stock market will generate an average return of 8% to 10%." — Sam Rowe: Introduces the argument that average returns mask highly uneven year-to-year outcomes. "You have to remember that it's also a reflection of the market overcoming every challenge of the last decade or a couple decades or the last couple hundred years." — Sam Rowe: Explains why long-term record highs are evidence of resilience, not just present-day optimism. "What's the most profitable way to fade these fears?" — Anonymous strategist cited by Sam Rowe: Used to frame investor fear as often already priced in, turning worry into a potential contrarian signal.

Implications: For listeners, the message is to expect turbulence, focus on earnings and long horizons, and avoid using valuations or headlines as short-term timing tools. Concentration, AI, and hidden risks matter, but disciplined patience and diversification still dominate.

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About Excess Returns

Excess Returns is dedicated to making you a better long-term investor and making complex investing topics understandable. Join Jack Forehand, Justin Carbonneau and Matt Zeigler as they sit down with some of the most interesting names in finance to discuss topics like macroeconomics, value investing, factor investing, and more.

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