Retiree Advisor Match

Monte Carlo Retirement Calculator: What Are the Odds Your Plan Succeeds?

Every retirement projection that shows a single line into the future is telling you an incomplete story. Markets are unpredictable. A Monte Carlo simulation runs a thousand possible futures — market booms, crashes, and everything in between — and tells you how often your portfolio survives each one. That probability is what actually matters.

Why a single projection isn't enough

If someone tells you "markets return 7% per year on average," a spreadsheet projection of your retirement portfolio looks fine. But averages obscure the thing that matters most in retirement: sequence of returns. Some 30-year periods start with a bear market (1966, 1973, 2000, 2022). Others start with a powerful bull run (1982, 1995, 2012). When you're withdrawing from the portfolio rather than adding to it, the early years are decisive — a bad sequence early can permanently deplete a portfolio that would have thrived under the same average returns in a different order.

Monte Carlo simulation replaces a single-line forecast with a distribution of outcomes. It samples from historical return statistics thousands of times, building a realistic spread of possible futures. The result isn't "your money will last 30 years" — it's "your plan survived 87 out of 100 simulated markets." That's actionable information.

How to read the success rate: A 90% success rate means 900 of 1,000 simulated market environments left your portfolio above zero at the end of your retirement horizon. The other 100 ran dry at some point before that. The percentile table below shows when the failures tend to occur — whether they cluster late in retirement (the plan nearly worked) or surface early (a structural problem).

Monte Carlo retirement simulation

Enter your portfolio value, annual spending, and retirement timeline. Withdrawal grows with inflation each year. Important: Enter only the spending that comes from your portfolio — subtract any guaranteed income (Social Security, pension, annuity) from your total spending first. If you spend $70,000/year and receive $28,000 in Social Security, enter $42,000 as your withdrawal.

What counts as a good success rate?

Most fee-only retirement planners target 85–90% success in Monte Carlo analysis — not 100%. Optimizing for 100% means drastically under-spending in the 80–90% of scenarios where markets are decent, leaving a large estate unnecessarily. The goal is confidence, not perfection.

Success rateWhat it suggests
95%+Very conservative — significant median wealth likely left unspent; may be able to spend more
85–94%Target zone for most retirement plans — strong probability of success without excessive cushion
70–84%Moderate risk — consider reducing withdrawal, delaying Social Security, or adding an income floor
Below 70%High risk — the plan needs structural adjustment before retirement begins

The Morningstar 2025 annual retirement study updated the "safe" starting withdrawal rate to 3.9% for a 30-year horizon at 90% confidence — slightly below the classic 4% Bengen rule, reflecting lower forward-return expectations.1 If your simulation shows 85%+ at your target withdrawal, your plan is well within the professionally accepted range.

Return assumptions used in this simulation

The calculator uses nominal return parameters derived from U.S. equity and bond data, 1926–2024 (Ibbotson SBBI / Vanguard research).2 Your portfolio's blended mean and standard deviation are calculated from your stock allocation. Returns are drawn from a normal distribution each year.

Asset classAnnual mean returnStandard deviationSource
U.S. stocks (large-cap)9.8%17.0%Ibbotson SBBI 1926–2024
Intermediate-term bonds4.2%5.5%Ibbotson SBBI 1926–2024
Stock-bond correlation−0.10Approximate historical

A 60/40 portfolio produces a blended mean of approximately 7.6% with ~10.2% standard deviation. Withdrawals grow at your specified inflation rate each year, so the real withdrawal amount stays constant in purchasing power — consistent with a standard inflation-adjusted spending plan.

Important limitations of this model

How a fee-only advisor uses this tool: They don't stop at a single success rate. They run it with lower return assumptions, higher inflation, and a required spending floor that covers non-discretionary expenses — then find the withdrawal level that keeps the worst-case scenario above the floor. The Monte Carlo number is a starting point for a stress-tested strategy, not the endpoint.

Adjustments that improve success rate

If your simulation comes back below 80%, these levers, individually or combined, tend to have the largest impact:

Match with a retirement income specialist

Monte Carlo shows you probabilities — a fee-only advisor who specializes in retirement income translates those numbers into a specific withdrawal strategy, tax plan, and income floor designed for your situation. No commissions, no products sold.

  1. Morningstar. Annual State of Retirement Income research (2025 update). Updated safe withdrawal guidance: 3.9% for 30-year horizon, balanced portfolio.
  2. Ibbotson, R.G. & Sinquefield, R.A. Stocks, Bonds, Bills and Inflation (SBBI) Yearbook. Updated annually by Morningstar. Long-run U.S. equity and bond return data, 1926–2024.
  3. Blanchett, D. (2013). Exploring the Retirement Consumption Puzzle. Journal of Financial Planning. Documents the "retirement spending smile" — real spending declines in mid-retirement before rising again late in life.
  4. Bengen, W.P. (1994). Determining Withdrawal Rates Using Historical Data. Journal of Financial Planning. Original 4% rule research using sequence-of-return analysis across historical U.S. market periods.