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Finance Medium #returns#distribution

Expected vs Realized Returns

Long-run averages mask year-to-year chaos. The distribution of annual returns.

A free, animated expected vs realized returns you can read here or embed on any website, from Scrollchart.

Expected vs Realized Returns

Expected vs Realized ReturnsS&P 500 annual returns 1924-2023. The average is 10.5%, but most years land far from it.2368111317201352Mean: 10.5%Only 17 of 100 yrsland near thisReturn distributionCrash (below -20%)11% of yearsBear (-20% to 0%)19% of yearsPositive (0% to 20%)30% of yearsBull (+20% to +40%)33% of yearsBoom (above +40%)7% of yearsThe market almost never delivers its own long-run average in any single year. Patience is the price of the mean.

A distribution of annual S&P 500 returns over a century, with the long-run mean marked. Few years actually land near the average - the variance is enormous.

Good for

  • Annual return variability education for investing newsletters
  • Behavioral investing content on investor return gaps vs fund returns
  • Why long-run averages require long time horizons to materialize

Source & accuracy

This expected vs realized returns is an editorial illustration built to represent the concept accurately. Where it shows figures, they are typical or representative values chosen to make the relationship clear, not a single underlying dataset. The diagram and its explainer are reviewed and maintained centrally, and updated over time as understanding improves.

Long-term averages mask short-term turbulence

The S&P 500's long-run annualized return is roughly 10%, but that obscures the reality of investing. Individual years swing wildly: gains of 30-40% in boom years, losses of 30-50% in crash years, and modest single-digit moves in many others. An investor who sees '10% expected return' and expects steady, smooth progress will be shocked by the actual path.

The distribution of annual returns matters more than the average. Most years cluster between negative 20% and positive 30%, with occasional tail events exceeding those bounds. Understanding this volatility spectrum is critical for setting realistic expectations and avoiding panic during inevitable downturns.

Sequences of returns add another layer

Realized returns depend not just on volatility, but on the order in which returns occur. A retiree who experiences a 30% loss in year one faces a very different outcome than one who faces the same loss in year 30. Early losses require larger future gains to recover, while early gains get many years to compound. This sequence effect means the 10% average is meaningful only if you have decades to smooth out the volatility.

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Reference

What this is
A free, embeddable, animated expected vs realized returns for any website.
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