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Sequence-of-Returns Risk, Explained

Why a market fall in your first year of retirement can matter more than the same fall ten years in.

Published 7 September 2026 · Updated 7 September 2026

Most retirement projections make a quiet assumption that is worth pulling into the open: that returns arrive evenly. Enter 9% into a drawdown calculator and it will credit your corpus with roughly 0.72% every month, year after year, until the money runs out or the horizon ends. Real markets have never done this and never will. They deliver the same average in lumps — a savage year, three dull ones, a spectacular one — and for anyone drawing a monthly income, the order those lumps arrive in can matter as much as the average itself.

That is sequence-of-returns risk. It is one of the few risks in retirement planning that is invisible in a standard projection, unavoidable in practice, and capable of deciding whether a plan works.

Why the order suddenly starts to matter

While you are simply holding an investment with nothing going in or out, the order of returns is genuinely irrelevant. A portfolio that earns −30%, then +10%, then +25% ends in exactly the same place as one that earns +25%, then +10%, then −30%. Multiplication does not care about sequence. This is why the risk gets so little attention during the accumulation years — for an untouched lump sum, it does not exist.

The moment withdrawals begin, that symmetry breaks. Each month's withdrawal now removes units at whatever price happens to prevail. When prices are depressed, a fixed rupee withdrawal consumes more units to raise the same amount of cash. Those extra units are permanently gone. When the recovery eventually arrives, it arrives for a smaller pile than it would have otherwise, and no subsequent good year can put the sold units back.

That is the whole mechanism. It is not really a market phenomenon at all — it is an arithmetic one, created by the interaction of a fixed withdrawal with a variable price.

What it looks like with real numbers

Take a corpus of ₹1 crore funding a flat ₹60,000 a month, with no annual increase. Assume the first three years deliver returns of −30%, +10% and +25% in some order, and that every year after that returns 9%. The assumptions are identical in both cases; only the order of the first three years differs.

With the fall arriving first, the corpus is worth roughly ₹70 lakh at the end of year three, about ₹25.8 lakh after twenty years, and is exhausted a little over 24 years in. With the good year first and the fall third, the corpus is worth roughly ₹79 lakh at the end of year three, about ₹61.6 lakh after twenty years, and lasts a little over 35 years.

Same three returns. Same everything else. Eleven extra years of income, decided entirely by which year came first. And notice how modest the gap looks at the three-year mark — around ₹8 lakh, or 8% of the starting corpus. That unremarkable difference is what compounds into a decade of retirement income. These figures are a deliberately simplified illustration built to isolate the effect, not a projection of what any portfolio will do.

Why the early years carry so much more weight

A fall in the first year of retirement is applied to the largest corpus you will ever have, and it is followed by the largest remaining number of withdrawals. Both factors point the same way. A fall of the same size in year eighteen lands on a smaller balance with fewer withdrawals left to fund, so there is simply less for it to damage.

This asymmetry is why the years immediately either side of retirement are sometimes treated as a distinct phase in a plan rather than just more of the same. The withdrawal rate that survives is not really a property of the average return you expect — it is closer to a property of the worst stretch the plan could be asked to absorb early on. Our withdrawal rate calculator tests a given rate against a range of return assumptions, and the market crash simulator does the more specific job of dropping a fall into the opening years of a drawdown plan to see what survives it.

How large a fall is plausible?

Indian equity history offers some sense of scale, though history is a record of what has happened rather than a forecast of what will. The Nifty 50's worst calendar year on record was 2008, at roughly −51%, with the peak-to-trough fall over that episode running to around 52% inside ten months and the index then taking several years to regain its previous high. The COVID drawdown in March 2020 was close to −29% but recovered in a small fraction of that time.

The point of these figures is not to predict a repeat, and past falls say nothing reliable about future ones. It is that a −30% year — the one used in the illustration above — is not a pessimistic invention. It sits comfortably inside the range of things Indian equity markets have already done, and a long drawdown plan will probably meet something like it at some point. What is unknowable is when.

Inflation-linked withdrawals sharpen the problem

The illustration above holds the withdrawal flat, which quietly understates the difficulty. Most people need their income to rise with prices. India's monetary policy framework targets 4% CPI inflation with a 2% to 6% tolerance band, reaffirmed by the government for the five years to March 2031, and the basket a retired household actually buys has often run at the upper end of that band or beyond.

Re-run the same two sequences with withdrawals rising 6% a year and both fail far sooner — in the region of 12 to 14 years rather than 24 to 35. Escalating withdrawals compress the whole plan, and the sequence effect then plays out inside a much narrower margin for error. Testing a rising withdrawal against an early fall, rather than a flat one against a smooth average, is the more demanding and more realistic version of the question. The SWP calculator simulates the withdrawal path month by month with annual increases built in, which gives you the baseline that any stress test is measured against.

The accumulation mirror

Worth noting, because it explains why this risk arrives so abruptly: for someone still investing monthly, an early fall is arguably an advantage. The instalments made during the fall buy more units cheaply, and those units share in whatever recovery follows. Running the same three-year sequences against a monthly investment over twenty years, the fall-first path finishes materially ahead of the fall-last one.

So the same event that helps at 40 hurts at 60. Nothing about the market changed — the direction of the cash flow did. Anyone who has spent decades being told that falls are buying opportunities is being handed a genuinely different problem on the day the withdrawals start, and it is a common place for intuition built in the accumulation years to mislead.

A note on tax

Sequence risk has a tax dimension that is easy to overlook. Selling more units to fund the same withdrawal in a weak market means putting more units through the ₹1.25 lakh annual long-term capital gains exemption currently available on equity-oriented funds, with gains above it taxed at 12.5% as of this writing. In a bad year the embedded gain per unit is lower, so the tax cost in that specific year is often smaller — but the unit count consumed is higher, and that is the part that damages the plan. Tax rules change and individual positions differ, so confirm the current treatment before relying on any of this.

What can actually be done about it

Sequence risk cannot be engineered away; it is inherent in drawing an income from an asset whose price moves. What it can be is measured, and planned around with eyes open. The responses that get discussed all involve a real trade-off. Starting at a lower withdrawal rate leaves income on the table in the good scenarios. Retaining the flexibility to cut withdrawals in a bad year means accepting a variable standard of living. Holding some portion of near-term spending in assets that need not be sold at a loss costs long-run growth on that portion.

None of these is universally right, and which combination fits depends on circumstances no article can see. What is available to everyone is the diagnostic step: take the plan you already have — from the retirement corpus calculator or from wherever else it came — and ask what it does if the first three years go badly. If it only works when returns arrive evenly, the plan is depending on something markets have never reliably provided.

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Frequently asked questions

What is sequence-of-returns risk in simple terms?

It is the risk that the order in which your returns arrive damages your plan, even when the average return is exactly what you assumed. It only bites when money is moving in or out of the portfolio. If you are drawing an income, a bad stretch early forces you to sell more units at low prices, and those units are gone before any recovery arrives. The same bad stretch arriving fifteen years later does far less harm, because by then it lands on a smaller balance with fewer withdrawals left to fund.

Why does the order of returns not matter while I am holding a lump sum?

Because multiplication does not care about order. A portfolio with no money going in or out that earns minus 30%, then 10%, then 25% ends up in exactly the same place as one that earns 25%, then 10%, then minus 30%. The order only starts to matter once withdrawals or contributions interact with the price along the way, which is precisely the retirement situation.

Does sequence risk affect SIPs too?

Yes, but in the opposite direction. During accumulation, a fall early on means your monthly instalments buy more units cheaply, and those units participate in the eventual recovery, so an early fall can leave a monthly investor better off than a late one, all else equal. The same arithmetic that makes an early fall dangerous in drawdown makes it comparatively helpful while you are still buying. This is why the transition from accumulating to withdrawing is the point at which the risk changes character.

How big can the difference actually be?

Large enough to decide whether a plan works. In the illustration on this page, using a corpus of 1 crore, a flat 60,000 a month, the same three returns in two different orders and an identical assumption thereafter, one order runs dry after roughly 24 years and the other after roughly 35. Nothing changed except the sequence. The exact gap depends entirely on the withdrawal rate and the size of the early fall, which is why it is worth testing with your own numbers rather than memorising a figure.

Can sequence risk be avoided entirely?

No. It is a structural feature of drawing an income from an asset whose price moves, so it can be reduced but not removed. The responses that get discussed all involve trade-offs rather than free wins: a lower starting withdrawal rate, flexibility to reduce withdrawals in a bad year, holding some portion of near-term spending in assets that need not be sold at a loss, or a shorter drawdown horizon. Each of these costs something in income, growth or flexibility, and which trade-off fits depends on circumstances a general article cannot know.

Do calculators that use one average return account for this?

Generally not. A projection that applies a single smooth return to every month is answering a useful but narrower question: what happens if returns behave as an average. That is a reasonable baseline, and it is what most SWP and corpus calculators show. It simply cannot reveal sequence risk, because a smooth path has no sequence to speak of. A stress test that deliberately places a fall at the start is a separate exercise, and a complement to the baseline rather than a replacement for it.