What Happens If the Market Crashes the Year I Retire?

Why timing matters more than magnitude

A 30% market drop is the same 30% drop no matter when it happens. What changes is what it's doing to your money at the moment it happens. Early in retirement, your portfolio is at or near its largest — decades of saving, sitting in one place, right before you start pulling money out of it. A crash there hits the biggest pool of dollars you'll ever have, and every withdrawal you make during the downturn locks in a loss that a rising market would otherwise have let you avoid.

Ten years into retirement, the picture is different. Some of that portfolio has already been spent. Whatever's left has, in a typical scenario, had years of growth working in its favor. A crash there still hurts, but it's landing on a plan that's already proven it can survive a decade of withdrawals, not one that's untested and simultaneously shrinking.

This is sequence-of-returns risk: two retirees can have the exact same average annual return over 30 years and end up in completely different places, purely because of the order the good and bad years arrived in. A 7% average is compatible with "steady growth the whole way" and with "lost a third of the portfolio in year one, then recovered" — and those two paths do not treat a fixed withdrawal schedule the same way at all.

The math doesn't care about the average. It cares about what was in the account the day you sold.

Why a healthy success rate doesn't mean you're safe

Most people's mental model of "is my plan okay" comes from a single number: a success rate from a Monte Carlo simulation, something like "92% of scenarios worked out." That number is genuinely useful — it's a real improvement over a static spreadsheet — but it can also create a false sense of security about one specific kind of risk.

Here's why. A standard simulation runs your plan through hundreds or thousands of randomized market paths and reports what fraction survive. Most of those paths are unremarkable — a mix of decent years and mediocre years, blended together into an average-ish outcome. A smaller number of those paths happen to contain a genuinely bad early sequence, and an even smaller number combine a bad sequence with other bad luck. The overall success rate averages all of that together into one number.

That means a plan can post a strong 90%+ success rate while still being meaningfully exposed to one specific bad scenario — a crash concentrated in the first few retirement years — that the blended number doesn't call out on its own. The plan isn't lying to you. It's just answering a different question than the one you actually care about when you ask "what if the market crashes right when I retire?"

What a real stress test does differently

A standard simulation asks: across a wide range of possible futures, what fraction of the time does this plan survive? A stress test asks a narrower, more pointed question: does this specific plan survive THIS specific kind of shock? It's a diagnostic, not a probability — it isolates one scenario on purpose instead of blending it into an average, so you can see whether it's a real threat to your plan or a non-issue.

A useful stress test doesn't stop at market timing, either. Retirement risk shows up in more than one shape — a market crash right at the start is one kind of shock, but living longer than planned, a future cut to Social Security benefits, or a prolonged stretch of below-average returns (a "Lost Decade") are separate, distinct risks with their own mechanics. Running your plan against several of these and ranking them by impact tells you something a single success rate never can: which specific risk your plan is actually exposed to, and which ones barely move the needle. That's a far more actionable answer than "92% and hope."

Practical responses — because you can't predict the timing

None of this is about guessing when the next crash will happen. Nobody can do that reliably, including us, and any plan built around timing a specific crash is a bet, not a plan. The useful response is building resilience that works no matter when the bad year lands:

• A cash or short-term bond buffer. Holding one to three years of planned spending outside the stock market means a crash doesn't force you to sell depreciated shares to cover your bills — you spend down the buffer instead and let the portfolio recover before you touch it again.
• Flexible spending in the first few years. A willingness to temporarily trim discretionary spending during a down market — skip the big trip, hold off on the renovation — reduces how much you're withdrawing from a shrunken portfolio exactly when it can least absorb it.
• Delay large one-time purchases early on. A new car, a home renovation, a wedding gift — big discretionary lump sums are far less costly to your long-term plan if they land in year eight of a recovered portfolio than in year one of a crashed one.
• Don't try to time retirement around a predicted crash. Waiting "until the market corrects" to retire is a bet on a specific forecast, and forecasts of that kind are unreliable. The goal is a plan robust enough to survive a crash whenever it happens — not a plan that depends on dodging one.

Want this as a standalone tool, or to embed it on your own site? Try the Retirement Stress Test →

A worked example

Take an illustrative plan: someone retiring at 65 with a healthy overall Monte Carlo success rate in the low-90s — the kind of number that, taken alone, looks like a solid green light. Run that same plan through a dedicated crash-at-retirement scenario, which models several years of sharply below-average returns concentrated right at the start of retirement instead of spread evenly across the whole 30 years, and the picture can look meaningfully different:

The gap between the baseline number and the crash-at-retirement result is the whole point of running the stress test in the first place. A plan that barely moves under the crash scenario has real structural slack. A plan that drops sharply has just told you exactly where its fragility lives — years before you'd find out the hard way.

What this doesn't capture

A stress test isn't a prediction, and treating it like one would undercut the entire point of running it. It doesn't tell you a crash WILL happen the year you retire, or that it won't. It tells you what happens to your specific numbers IF one does — a "what if," not a forecast. It also can't price in things that haven't happened before: a genuinely novel kind of market event, a policy response nobody's modeled, or a personal circumstance (a health event, a job loss in the run-up to retirement) that changes the picture on its own. Treat a plan that survives the stress test as good evidence of resilience, not a guarantee that nothing will go wrong.

How this is calculated

The stress test above runs your plan through the same seeded Monte Carlo engine as the full app, with a dedicated crash scenario that concentrates several years of sharply below-average returns at the start of retirement — not spread evenly across the whole simulation — so the sequence-of-returns effect shows up instead of getting averaged away. It's free to run, no account required. The complete math, including the specific assumptions and data sources, is documented in the methodology.

Common questions