When Can I Retire?

Retirement clarity through practical assumptions.

Guide

Sequence of returns risk

Last updated: May 2026

Two people can have the same average return and still face very different outcomes once they start spending from their portfolio. When bad markets arrive before withdrawals stabilize, sequence risk can matter more than the average return number.

This guide keeps it practical: it explains how to protect the early years of retirement, how to interpret Monte Carlo results, and where the plan can fail even when long-term averages look good.

Practical retirement planning workflow

  1. 01. Start from your target year count and cash-flow timing.

    Identify how many years you expect to spend before pension, Social Security, or other guaranteed income starts.

  2. 02. Build a base path in the calculator with one withdrawal rate.

    Keep inputs stable for one clean run; record result, success rate, and projected portfolio trajectory.

  3. 03. Add a downside sequence stress case.

    Use lower return path assumptions, higher early volatility, or both. This is where assumptions reveal fragility.

  4. 04. Hold the same final return target across scenarios.

    Compare by order, not by changing long-run return. That prevents mixed signals.

  5. 05. Stress spending during years one to five.

    If spending flexibility exists, define a lower spending trigger for first-year drawdown conditions.

  6. 06. Compare the same person with different withdrawal timing.

    Work three scenarios: early retirement, delayed retirement by one year, and delayed retirement with slightly lower spending.

Worked example: same portfolio, same average return, different order

Household A and Household B both retire with $1,000,000, spend $55,000 in today-dollars, use 3.5% withdrawal, and assume the same long-run expected return. They differ only in return order through the first four years.

Case Year 1-4 sequence Portfolio stress at Year 5 Interpretation
Household A Strong, strong, weak, weak Higher early cushion Withdrawal timing is stable for more years
Household B Weak, weak, strong, strong Lower cushion after first 4 years Same assumptions, weaker starting sequence outcome

This is the core point for retirement planning: averages can be misleading if sequencing is unfavorable. You are testing a process, not a prediction.

Checklist

  • Run downside and balanced cases with the same nominal target.
  • Separate bridge years from post-Social-Security years.
  • Check withdrawal behavior in the first three to five years.
  • Set a trigger for temporary spending cuts when early markets are weak.
  • Use cash buffer assumptions in both good and bad sequences.

Common mistakes

  • Believing long-term expected return alone is enough.
  • Using only one optimistic volatility value.
  • Assuming the portfolio can fully recover from early sequence shocks without spending changes.
  • Interpreting a high Monte Carlo success rate as certainty.
  • Ignoring that taxes and healthcare can increase spending pressure in weak markets.

Monte Carlo interpretation

A high success rate in a base case is useful, but compare it with early-market stress. If success collapses in sequence-sensitive variants, the plan is less robust than one number suggests.

FAQ

Why is this risk larger for early retirees?

Because withdrawals usually begin soon after retirement, and early losses directly affect how much remains invested for recovery.

Can sequence risk be eliminated?

No. It can be reduced with buffer planning, spending flexibility, and conservative withdrawal settings.

Does a lower withdrawal rate always solve sequence risk?

Usually it improves resilience, but it can also require a larger starting portfolio target and different spending expectations.

Can this output be used as direct advice?

No. It is an educational estimate and assumes your own constraints remain as modeled.

Related planning links

Next steps