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Money · Savings

Sequence of Returns Risk Calculator

Compare how the timing of poor investment years impacts your retirement portfolio. Even with the same average return, experiencing bad years early during withdrawals can deplete savings far faster than bad years occurring later.

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years
Calculated good-year return: 10.0%
Example values — enter yours above
Bad Years Early
$360,291
Depletion YearNever depleted
Total Withdrawn$1,200,000
Example values — enter yours above
Bad Years Late
$3,906,098
Depletion YearNever depleted
Total Withdrawn$1,200,000
$3,545,806
Difference
$360,291
Ending Balance (Bad Years Early)
$3,906,098
Ending Balance (Bad Years Late)

Year-by-Year Comparison

YearBad Years EarlyBad Years Late
1$768,000$1,056,000
2$582,400$1,117,600
3$433,920$1,185,360
4$433,312$1,259,896
5$432,643$1,341,886
6$431,908$1,432,074
7$431,098$1,531,282
8$430,208$1,640,410
9$429,229$1,760,451
10$428,152$1,892,496
11$426,967$2,037,745
12$425,664$2,197,520
13$424,230$2,373,272
14$422,653$2,566,599
15$420,918$2,779,259
16$419,010$3,013,185
17$416,911$3,270,503
18$414,602$3,553,554
19$412,063$3,864,909
20$409,269$4,207,400
21$406,196$4,584,140
22$402,815$4,998,554
23$399,097$5,454,409
24$395,006$5,955,850
25$390,507$6,507,435
26$385,558$7,114,179
27$380,114$7,781,597
28$374,125$6,193,277
29$367,537$4,922,622
30$360,291$3,906,098

Sequence of Returns Risk: Why the Order of Investment Returns Matters in Retirement

Sequence of returns risk is one of the most misunderstood yet critical factors in retirement planning. It refers to the danger that the order in which investment returns occur can dramatically affect the longevity of a portfolio, particularly during the withdrawal phase. Two retirees with identical average returns over the same period can end up with vastly different outcomes depending solely on when the good and bad years happen. This risk is particularly acute in the early years of retirement, when the portfolio is at its largest and withdrawals have the greatest relative impact.

How Sequence Risk Works

During the accumulation phase of investing — when you are saving and not yet withdrawing — the order of returns has little effect on the final outcome. Whether you earn 20% in year one and lose 10% in year two, or the reverse, your ending balance is the same because multiplication is commutative. However, once you begin taking regular withdrawals, this symmetry breaks down entirely.

When a portfolio suffers significant losses early in the withdrawal phase, the combination of investment losses and withdrawals reduces the capital base so severely that subsequent recovery becomes nearly impossible, even with strong returns later. Conversely, strong early returns build a larger capital buffer that can absorb later downturns more effectively. This asymmetry is the essence of sequence of returns risk.

A Concrete Example

Consider a retiree with a $1,000,000 portfolio withdrawing $50,000 per year with an average 7% annual return over 30 years. If three years of negative 20% returns occur in years one through three, with approximately 10% returns in the remaining years (to maintain the 7% average), the portfolio may be depleted well before the 30-year mark. However, if those same three bad years occur in years 28 through 30 instead, the portfolio may finish with several hundred thousand dollars remaining. The average return is identical in both scenarios, yet the outcomes are dramatically different.

Mitigating Sequence Risk

Several strategies can help manage sequence of returns risk. The most commonly discussed is the dynamic withdrawal strategy, where retirees reduce their withdrawal amount during market downturns to preserve capital. Rather than withdrawing a fixed dollar amount, some retirees use a percentage-based approach, though this introduces income variability.

Asset allocation adjustments can also provide protection. A bond or cash reserve equivalent to two to three years of withdrawals allows retirees to avoid selling equities during downturns. Some financial planners advocate a rising equity glide path in retirement — starting with a more conservative allocation and gradually increasing equity exposure as the most dangerous early years pass.

Another approach is the bucket strategy, which segments a portfolio into short-term, medium-term, and long-term buckets. The short-term bucket, held in cash or near-cash equivalents, covers one to three years of expenses. The medium-term bucket, in bonds, covers three to seven years. The remainder is invested in equities for long-term growth. This structure provides a psychological and practical buffer against selling equities at depressed prices.

The 4% Rule and Sequence Risk

The widely cited 4% withdrawal rule — derived from William Bengen's 1994 research — was specifically designed to account for sequence of returns risk. Bengen found that a 4% initial withdrawal rate, adjusted annually for inflation, survived every 30-year historical period in U.S. market data. However, this rule assumes a specific asset allocation and uses historical returns that may not represent future market conditions. Some researchers argue that in a lower-return environment, a withdrawal rate closer to 3% to 3.5% may be more appropriate.

Importantly, the 4% rule represents a worst-case scenario from historical data. In the majority of historical periods, retirees following this rule would have ended with significantly more money than they started with. The rule is conservative precisely because it accounts for the possibility of encountering the worst sequence of returns at the worst possible time.

Using This Calculator

This calculator illustrates sequence risk by comparing two extreme scenarios: all bad years occurring at the start of retirement versus all bad years occurring at the end. While real-world returns are distributed more randomly, these extremes demonstrate the maximum potential impact of return sequencing. By adjusting the portfolio size, withdrawal amount, average return, and bad year severity, you can visualize how sensitive your retirement plan is to the timing of market downturns and evaluate whether your withdrawal strategy provides adequate resilience.

Frequently Asked Questions

What is sequence of returns risk?

Sequence of returns risk is the danger that the order of investment returns can significantly impact a portfolio's longevity during the withdrawal phase. Even with the same average annual return, experiencing poor returns early in retirement — when withdrawals are eroding the portfolio — can lead to much earlier depletion than experiencing those same poor returns later.

Why does the order of returns only matter when withdrawing?

During the accumulation phase (no withdrawals), the order of returns does not affect the final balance because multiplication is commutative. However, when regular withdrawals occur, losses early on reduce the capital base before it can recover. The withdrawals remove capital that would otherwise benefit from future gains, creating an irreversible shortfall.

How can I protect my portfolio from sequence risk?

Common strategies include maintaining a cash or bond reserve covering two to three years of expenses, using flexible withdrawal rates that decrease during downturns, employing a bucket strategy, and considering a more conservative initial withdrawal rate (3-3.5% instead of 4%). Diversification across asset classes and geographies also helps smooth returns.

What is the 4% rule and does it account for sequence risk?

The 4% rule, from William Bengen's 1994 research, states that withdrawing 4% of the initial portfolio balance (adjusted for inflation each year) has historically survived every 30-year period in U.S. market data. It was specifically designed to handle the worst historical sequence of returns. However, future returns may differ from historical patterns.

How many bad years does the calculator simulate?

By default, the calculator simulates three consecutive bad years — either at the beginning or end of the withdrawal period. It then calculates the required good-year return so that the overall arithmetic average matches your specified average return. You can adjust inputs to model different severity levels.