What is sequence of returns risk in retirement?

Sequence of returns risk is the asymmetric danger that two retirees with identical 30-year average returns end with vastly different outcomes depending on when losses occur. Losses in the first 10-15 years of retirement do disproportionate damage because withdrawals lock in declines. The same arithmetic mean produces sustainable wealth in one sequence and ruin in another, which is why CAGR alone is a misleading retirement metric.

The short answer

Imagine two retirees who both achieve a 6% real annualized return over 30 years. One experiences losses in years 1-5; the other in years 25-30. With no withdrawals, they end at the same place. With 4% withdrawals each year, they end with dramatically different terminal wealth — sometimes one has run out of money entirely while the other has more than doubled the starting capital.

This is sequence of returns risk. It exists because withdrawals during a market drawdown crystallize losses that no subsequent rebound can recover. The same negative return early in retirement is exponentially more damaging than the same return late.

The practical consequence is that pre-retirement and the first decade of retirement are the highest-risk window in a lifetime financial plan, even though average lifetime returns appear identical.

New to retirement risk concepts? Financial education hub

What the data shows

Empirical sequence-risk evidence comes from the Bengen 1994 study and its successors (Trinity Study 1998, Pfau and Kitces work 2010-2024). The historical scenarios most commonly cited concern US retirees who started withdrawing in 1929, 1937, 1965, 1966, and 1973 — the worst windows in modern data.

The reference numbers (Bengen 1994 and Kitces 2008-2024 research):

  • Across rolling 30-year periods 1926-1995, a 4% withdrawal rate from a 50/50 portfolio survived in 95%+ of cases
  • Of the failure scenarios, all clustered around late-1960s and 1973 retirement starts — both periods of high CAPE plus subsequent stagflation
  • Correlation between Shiller CAPE at retirement start and 30-year safe withdrawal rate (SWR): R² approximately 0.77 for portfolios with 60%+ equity exposure (Kitces analysis)
  • The first 15 years of retirement returns explain most of the SWR variance for the full 30-year horizon

The exception that complicates the picture: the same arithmetic average return produced very different outcomes depending on order. A retiree starting in 1966 with a 6% real CAGR over 30 years still ran out of money under a 4% rule, while a 1982 retiree with the same average comfortably tripled the capital.

Dataset: S&P 500 historical returns dataset

Why it happens — the macro mechanism

The mechanism is a path-dependence in the wealth equation. Withdrawals are denominated in dollars, but they consume shares of the portfolio. When prices fall, each withdrawal consumes a larger share of the remaining capital. If the rebound comes later, fewer shares remain to participate in it.

The first channel is the asymmetric arithmetic of compounding under withdrawals. A 30% drawdown followed by a 30% rebound returns to flat in a no-withdrawal portfolio. The same drawdown with a 4% withdrawal at the bottom permanently loses some of the rebound participation. This is why annualized returns and arithmetic averages diverge from realized retirement outcomes.

The second channel is the divergence between CAGR and SWR. CAGR (compound annual growth rate) is order-independent. SWR (safe withdrawal rate) is order-dependent. The two metrics measure fundamentally different things, and using CAGR for retirement planning systematically understates sequence risk. Two portfolios can have identical CAGR over 30 years but very different SWR, which is the actual relevant variable.

A brief transition: this is why bond glide paths (rising equity allocation through retirement) have been studied as sequence-risk hedges, even though they reduce expected total return.

The third channel is the entry-valuation effect. Retirees who start in periods of high market valuation face structurally lower expected returns over the first 10-15 years, which compounds the sequence risk problem. The starting CAPE is therefore a leading indicator of which retiree cohorts will face the toughest sequence problem.

Synthesis by regime: in regimes of declining real rates and rising multiples (1982-2000), early-retirement returns were tailwinds and sequence risk barely manifested. In regimes of rising real rates and contracting multiples (1966-1981), early losses combined with high inflation crushed retirement plans. The transition parameter is the starting CAPE crossed with the real interest rate trajectory: high CAPE at start plus rising real rates is the worst sequence environment, and retirees entering in 2000 or potentially 2021-2022 fall into this category.

Two retirees with the same average return can finish with the same wealth — or one can be bankrupt and the other rich. The order matters more than the mean.

Framework: Asset allocation and resilient portfolios

What it means for different economic actors

Pre-retirees face peak sequence risk in the 5-10 years on either side of retirement start. The same allocation that was appropriate at age 50 may be too aggressive at age 62 not because of expected return but because of vulnerability to a poorly-timed drawdown.

Retirees in the first decade of withdrawal face concentrated sequence risk. Static allocation rules (“keep 60/40 forever”) ignore this, while dynamic rules (rising glide paths, valuation-aware withdrawal floors and ceilings) attempt to address it.

Pension funds and endowments with perpetual horizons face a structurally different version of this problem because their effective time horizon dilutes early sequence risk over multiple cohorts.

A common error is to treat retirement returns symmetrically with accumulation returns. The arithmetic differs fundamentally: in accumulation, dollar-cost averaging benefits from drawdowns; in decumulation, the same drawdowns destroy capital permanently.

Practical observation

What the data suggests for understanding your situation:

  • Question to ask yourself: Where in the sequence-risk window does my portfolio currently sit? (5-10 years pre-retirement = peak vulnerability)
  • Data to monitor: Year-over-year change in real account value during the first decade of withdrawals — accelerating declines signal sequence risk materializing
  • Historical parallel: Retirees starting in 1966, 1973, and 2000 faced the worst documented sequence risk; 1982 starters faced the easiest
  • What the literature documents: Pfau, Kitces, and Bengen have shown that the first 15 years of retirement explain most of 30-year SWR variance

This is descriptive information to help you frame your own analysis. Eco3min does not provide investment advice.

Go deeper

Frequently asked questions

How does sequence risk differ from market risk?

Market risk concerns the magnitude of losses; sequence risk concerns their timing. Two portfolios can have identical market-risk exposures (volatility, drawdown depth) but very different sequence-risk profiles depending on when in retirement those drawdowns occur. Market risk is generally measured by standard deviation; sequence risk requires path-dependent simulation across realistic withdrawal patterns.

Why is the 15-year-window so critical for sequence risk?

Empirical work by Kitces and Pfau has shown that the cumulative real return over the first 15 years of retirement explains the bulk of the variance in safe withdrawal rates over the full 30-year horizon. The reason is mathematical: a portfolio that survives the first 15 years with capital intact has effectively neutralized the worst sequence-risk window, since the remaining 15 years involve smaller relative withdrawals from a larger remaining base.

Can rising equity glide paths address sequence risk?

Pfau and Kitces have studied portfolios that start retirement with low equity exposure and rise over time. The intuition is that early years carry the highest sequence risk and benefit from defensive positioning, while later years benefit from longevity-hedging equity. Empirical studies show rising glide paths can reduce ruin probability in worst-case scenarios but at the cost of expected total return in median scenarios — a trade-off whose appropriateness depends on individual risk tolerance.

Last updated — 4 June 2026

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