Sequence-of-returns risk
What is Sequence-of-returns risk?
Sequence-of-returns risk is the danger that the order of investment returns, especially early losses during withdrawals, causes lasting portfolio damage.
Planning tools must simulate returns in different orders, withdrawals, fees, tax, inflation, and adaptive spending. Showing only an average or median path conceals the mechanism. Historical sequences and stochastic models are both useful but neither covers every future regime, so assumptions and failure definitions must remain visible.
Monitoring should focus on funded status and sustainable future spending, not a fixed account-value threshold alone.
A plan should specify which discretionary spending changes first and which essential payments remain protected.
Why order matters
Without cash flows, the same returns in a different order produce the same ending value. With withdrawals, contributions, or leverage, order matters. Losses early in retirement combine with sales that remove shares, leaving less capital to recover. Early gains can support the same spending with a larger remaining base even when average return is identical.
Example
Two retirees start with equal portfolios and withdraw the same inflation-linked amount. Both experience the same set of annual returns, but one suffers the worst years first. That investor sells more units at depressed prices and can exhaust assets sooner. An average-return projection misses this path dependency entirely.
Factors that increase risk
High initial withdrawal, volatile allocation, inflexible spending, long horizon, high fees, inflation shock, concentrated assets, and lack of outside income increase vulnerability. Tax and account order also affect cash removed. Sequence risk is not confined to retirement; endowments, foundations, leveraged investors, and anyone funding large withdrawals face it.
Mitigation
Options include a liquidity reserve, liability matching, lower initial withdrawal, spending guardrails, diversified sources, annuity or pension income, flexible discretionary spending, and rebalancing. Holding excessive cash can reduce growth and create inflation risk. No single bucket rule eliminates uncertainty, so mitigations should be tested across regimes and longevity.
Practical modeling
Use return paths, actual cash-flow timing, inflation, fees, tax, mortality or horizon, and portfolio rules. Report failure definition, probability range, worst spending cuts, and ending outcomes. Avoid relying on one historical sequence or normally distributed returns. Review funded status and adapt early when outcomes depart materially from the plan.
Sources and further reading
- Save and Invest, Investor.gov, U.S. Securities and Exchange Commission