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Sequence of Returns Risk Visualizer

See how different sequences of wins and losses could affect a simple investment path, even when the average return is the same in this educational simulator.

This is an educational visualization using randomized paths, not a prediction, probability estimate, or investment recommendation.

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Last updated: February 9, 2026

How Two Retirees with Identical Returns End Up in Different Places

The sequence of returns risk visualizer reveals a truth most investors miss: the order of your returns matters as much as the average. Two people with the same 7% average over 30 years can have completely different outcomes—one runs out of money, the other dies wealthy.

The danger? Bad years hitting early while you're withdrawing. A 30% crash in year one means you're selling shares at rock bottom to cover expenses. By the time markets recover, you've depleted too much. The same crash in year 25 barely matters—you've already built a cushion.

This visualizer runs hundreds of randomized paths using your inputs. All paths share the same average return and volatility, but the order differs. The spread between best and worst paths shows how much luck determines your retirement success.

What Different Sequences Look Like

ScenarioWhat Happens30-Year Outcome ($1M, 4% withdrawal)
Good Early Years+15% to +20% returns in years 1-5, losses come laterPortfolio grows to $2M+ despite same average
Median PathMixed early years, returns scattered randomlyPortfolio holds steady around $800K-$1.2M
Bad Early Years-20% to -30% in years 1-3, recovery comes too latePortfolio depletes by year 22-25

All three scenarios use the same 6% average return and 15% volatility. The only difference is timing. This is sequence risk in action.

Two Paths from the Same Starting Point

Example 1: Traditional Retiree at 65

Setup: $1,000,000 portfolio, $40,000/year withdrawal (4%), 6% expected return, 15% volatility, 30-year simulation.

Results across 500 paths: Median ends at $920,000. The 90th percentile finishes at $2.4M. The 10th percentile depletes by year 24.

What this reveals: Same 4% rule, same average return—one retiree leaves millions to heirs while another runs out at 89. The difference is pure sequence luck. That 10th percentile isn't rare; it's 1 in 10.

Example 2: Early Retiree Facing 50-Year Horizon

Setup: $1,500,000 portfolio, $52,500/year withdrawal (3.5%), 6% expected return, 18% volatility, 50-year simulation.

Results: Median holds at $1.1M through year 50. But the 10th percentile depletes by year 36—when this 40-year-old retiree is only 76.

What this reveals: Even at a conservative 3.5% rate, bad early sequences can destroy a 50-year plan. The spread between best (~$18M) and worst (depleted) shows why early retirees need flexibility or backup income.

What Accelerates Portfolio Failure

Rigid spending during crashes. Withdrawing the same $40,000 when your portfolio drops to $700,000 means you're now taking 5.7%—accelerating the death spiral. Flexible spending rules save portfolios.

No cash buffer. Without 1-2 years of expenses in cash, you're forced to sell stocks at the worst possible time. A buffer lets you wait out crashes without locking in losses.

High withdrawal rate to start. Starting at 5% instead of 4% dramatically increases failure odds in bad sequences. The difference compounds over decades.

100% stocks in early retirement. Maximum volatility during your most vulnerable years. A more conservative allocation initially—then increasing stocks later—reduces sequence risk.

Retiring into a bear market. If you retire right before a crash, consider part-time work for 2-3 years to avoid heavy withdrawals until markets stabilize.

How the Simulation Works

  • Returns drawn from normal distribution with your specified mean and standard deviation
  • Each year independent—no momentum or mean reversion modeled
  • Withdrawals at year-end; returns apply to beginning balance
  • No taxes, fees, or inflation adjustments in this basic model
  • Percentiles calculated by sorting all path values at each year

Real markets have "fat tails"—crashes like 2008 happen more often than normal distributions predict. This model illustrates sequence risk but may understate how bad truly bad sequences can be.

Sources

Sources: IRS, SSA, state revenue departments
Last updated: January 2025
Uses official IRS tax data

For Educational Purposes Only - Not Financial Advice

This calculator provides estimates for informational and educational purposes only. It does not constitute financial, tax, investment, or legal advice. Results are based on the information you provide and current tax laws, which may change. Always consult with a qualified CPA, tax professional, or financial advisor for advice specific to your personal situation. Tax rates and limits shown should be verified with official IRS.gov sources.

Common Questions

Why do some paths run out of money while others grow to millions?
Even when all paths use the same average return, the order of good and bad years matters enormously. A retiree who gets hit with -20% returns in years 1-3 while withdrawing depletes their base quickly. Another retiree with the same average return but +15% early years has a larger cushion when bad years arrive later. The visualization shows this spread—it's not about predicting which path you'll get, but understanding that the same average can produce wildly different outcomes.
How accurate are Monte Carlo simulations for retirement planning?
Monte Carlo gives you a range of possibilities, not a prediction. The model assumes returns follow a normal distribution, but real markets have 'fat tails'—crashes like 2008 happen more often than normal distributions suggest. It also assumes each year is independent, ignoring momentum and mean reversion. Use Monte Carlo to understand the concept of sequence risk and stress-test your plan, but don't treat the percentiles as precise probabilities.
What's the 'risk zone' in retirement?
The first 5-10 years after you stop working. During this window your portfolio is at its largest (before withdrawals shrink it), so percentage losses translate to the biggest dollar amounts. A 30% crash on $1.2 million is $360,000 gone—plus you're selling shares to cover expenses while prices are low. Research suggests if you can survive this early window without devastating losses, your odds of portfolio survival improve dramatically.
Does sequence risk matter if I'm still working and saving?
It actually works in your favor during accumulation. If markets crash early in your career while you're adding $1,000/month, you're buying more shares at lower prices. When markets recover, those cheap shares multiply. Sequence risk only becomes dangerous when you flip from adding money to taking it out—that's when bad early years lock in losses rather than create buying opportunities.
How much cash buffer should I keep in early retirement?
Most sequence-risk strategies suggest 1-3 years of expenses in cash or short-term bonds. This lets you avoid selling stocks during a crash—you live off the buffer while waiting for recovery. The trade-off: cash earns almost nothing, so you're sacrificing long-term growth for short-term safety. A middle ground is keeping 2 years of expenses liquid and replenishing from stocks only when markets are up.
Should I use a lower withdrawal rate than 4% because of sequence risk?
Many planners now suggest 3-3.5% for early retirees or those with 30+ year horizons. The 4% rule was designed for 30-year retirements based on historical U.S. data—it doesn't account for today's lower bond yields or the possibility of worse-than-historical returns. A lower initial rate gives you margin for error if you hit bad early sequences. Alternatively, use a flexible strategy that cuts spending temporarily during downturns.

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