Critical Risk

Sequence of Returns Risk

By Jasper Saunders • Educational content only

Sequence of returns risk is one of the most important-and least understood-threats to a successful retirement. It explains why two investors with identical average returns can end up with dramatically different outcomes simply because of the order in which those returns occurred.

If you only look at long-term averages, this risk stays invisible. That invisibility is dangerous. Understanding it is part of taking responsibility for a plan that has to survive real markets, not textbook averages.


What Is Sequence of Returns Risk?

During the accumulation phase (while you are still working and contributing), the order of returns matters relatively little. Bad years early can be overcome by later growth and ongoing contributions. You are buying more shares when prices are low.

In retirement, the opposite is true. When you are withdrawing money every year, a string of poor returns in the first 5-10 years can permanently impair the portfolio. Even if strong returns arrive later, the portfolio may never fully recover because you have already sold shares at depressed prices to fund living expenses.

You are no longer adding capital. You are subtracting it. The math changes.


A Simple Illustration with Numbers

Imagine two retirees, both starting with $1,000,000 and withdrawing $40,000 per year (adjusted for inflation). Both experience the exact same set of annual returns over 25-30 years-but in reverse order.

  • Retiree A gets strong markets early and weak markets later → portfolio ends healthy, often with more than the starting balance.
  • Retiree B gets weak markets early and strong markets later → portfolio is depleted or runs out of money years earlier.

The average return is identical. The sequence is what determined success or failure. This is not a theoretical curiosity. It is the difference between a plan that works and a plan that fails under the same “average” conditions.

A rough numerical sketch: suppose a −20%, −15%, +10% start versus a +10%, −15%, −20% start, with ongoing withdrawals. The first path sells fewer shares at low prices; the second path locks in losses by selling more shares when the portfolio is down. Compounding then works on a smaller base.


Why Monte Carlo Analysis Helps

Historical back-testing (like classic FIREcalc-style tools) is valuable, but it only examines the sequences that actually happened in the past. Monte Carlo simulation generates thousands of plausible future sequences based on expected return and volatility. This reveals a much wider range of possible outcomes and gives a clearer picture of the probability that your plan will succeed under varied orderings of returns.

In this site’s calculator, the Monte Carlo mode runs 1,000 random sequences. Look at the success rate and the 10th-percentile outcome-these metrics are specifically designed to surface sequence-of-returns risk. A plan that only looks good on a smooth average path is not a plan you should trust with your livelihood.

Practical tip: After you run Monte Carlo, deliberately raise spending 10-15% or lower the mean return by a point and run again. If the success rate collapses, sequence risk is telling you the plan has little margin. That is useful information while you still have time to adjust.


Strategies to Reduce the Risk

You cannot control the order of future market returns. You can control several buffers and behaviors:

  • Maintain a cash or short-term bond buffer for the first few years of withdrawals so you are not forced to sell stocks in a deep decline
  • Use flexible spending rules (reduce withdrawals after large market declines; raise them after strong periods)
  • Delay Social Security when it increases guaranteed income and reduces portfolio dependence in the vulnerable early years
  • Consider a slightly more conservative asset allocation in the early retirement years, then increase equity exposure later if appropriate
  • Test your plan with Monte Carlo rather than relying on a single average-return projection
  • Enter retirement with a spending level that has already been stress-tested, not one that only works in a friendly sequence

None of these is a magic shield. Together they reduce the chance that one bad decade at the wrong time undoes decades of careful saving.


Accountability in the Face of Sequence Risk

It is tempting to assume “the market always recovers” and therefore sequence risk is overblown. Markets have recovered historically. People who sold at the bottom or withdrew heavily during the decline did not always participate fully in the recovery. Your personal outcome depends on behavior as much as on the index level ten years later.

It is also tempting to freeze and refuse to retire until every model shows 100% success under extreme assumptions. That can become its own form of risk: never using the capital you built.

The balanced path is to measure the risk, size the buffers you can afford, choose a spending level with margin, and revisit the plan as conditions change. That is adult ownership of uncertainty.



An Example You Can Run Yourself

Open the calculator’s retirement section. Enter a portfolio of $900,000, annual spending of $40,000, modest Social Security, 30 years, 6.5% mean return, and 15% volatility. Run Monte Carlo and note the success rate and 10th-percentile ending value.

Then change only the spending to $48,000 (a 20% increase) and run again. The drop in success rate is sequence risk made visible: higher withdrawals leave less room for a bad early decade. That single comparison often teaches more than a dozen articles.

Write both results down. The gap is your margin-or the lack of it. Decisions about spending, work horizon, or cash reserves should respond to that gap, not to a vague hope that “markets always recover in time.”

Remember: sequence risk is highest when withdrawals are high relative to the portfolio and when there is little other income. Lowering the withdrawal rate, delaying retirement by a few years, or securing more guaranteed income are often more effective responses than hoping for a friendly sequence.

Closing

Sequence of returns risk is why a retirement plan cannot be reduced to “average return × years.” Order matters once withdrawals begin. Monte Carlo simulation exists largely to make that order risk visible across many possible futures.

Use the tool. Look at the tough percentiles. Build whatever buffer and flexibility your situation allows. Then live the plan with eyes open rather than with a single rosy line on a chart.

Peace comes from knowing the danger exists and having prepared for it-not from pretending averages are destiny.

This article is for educational purposes only and is not financial advice. Past performance does not guarantee future results. Always consult a qualified advisor for decisions about your personal situation.