Bucket Strategy vs Total Return: Does a Cash Bucket Protect a Retirement Portfolio? (2026)

Bucket strategy or total return: does a cash bucket protect a retirement portfolio?

Key numbers

10,000 quasi-Monte Carlo paths per arm, identical market draws for the two arms of every pair; JPMorgan LTCMA 2026 capital-market assumptions (as of 2025-11-01); all dollars in today’s dollars; pre-tax, no Social Security. “Success” means the portfolio never reached $0 before 95.

Run the $1M / $40,000 / 65-to-95 plan in the free planner →

Opens the Monte Carlo planner prefilled with this study’s plan — retire at 65, plan to 95, $1,000,000, $40,000 a year, 45/15/40 US equity / international / bonds. The link sets the plan, not the rule: choose Bucket (cash reserve) under Withdrawal Rule and set the reserve in years to see the bucket arm for your own numbers.

What is being compared

The bucket arm is the engine’s two-bucket rule. At retirement it carves a cash reserve of N years of planned spending out of the portfolio and invests it in the roster’s cash asset; everything else stays in the plan mix as the growth bucket, rebalanced to that mix every year. Each month’s spending comes out of the reserve while it lasts, then pro rata from the growth bucket. At the end of every retirement year the reserve is topped back up to N years of that year’s spending under one of two rules: after a non-losing year (only if the growth bucket’s nominal return for the year was zero or better — after a losing year the reserve is left to run down, which is the whole point of the strategy) or when below half (whenever the reserve has fallen below half its target, whatever the year’s return). Spending itself is the same constant-real amount in both arms; the rule only changes where the money comes from.

The total-return arm is the plain constant-real rule the site’s planner runs by default, with one adjustment that makes the comparison fair: it holds the same cash. A 3-year reserve on $40,000 of spending is $120,000, 12.0% of the portfolio, so the baseline starts as 60/40 scaled to 88.0% plus 12.0% cash — 39.6% / 13.2% / 35.2% US equity / international / bonds and 12.0% cash — and is rebalanced back to that mix once a year. Every cell’s baseline is built the same way from its own reserve size and spending, so the two arms of every pair begin from an identical $1,000,000 with an identical cash share. What differs afterwards is exactly the bucket strategy: withdrawals from cash first, refills by rule, and a cash share that drifts instead of being rebalanced.

Both arms are run on the same 10,000 market paths, so every statistic below can be taken path by path. The headline for each cell is the paired difference: the bucket arm’s wealth at 95 minus the total-return arm’s on the same path, summarised by its median, its 10th–90th percentile band and the share of paths on which the bucket ends higher. That is the figure a single retirement could actually experience; the gap between two separately-sorted medians is not.

Results: 60/40 plan

45/15/40 US equity / international / bonds. Each row is one bucket configuration against its own total-return baseline. Dollar columns are wealth at 95 in today’s dollars; the last column counts paths in which only one arm reached 95 with money left.

“Paired median Δ” is the median over 10,000 paths of (bucket wealth − total-return wealth) at 95; “Bucket ends higher” is the share of those paths with a positive difference (paths where both arms end at $0 count as ties; a paired median of exactly $0 means the middle of the per-path distribution falls in that tie mass). Starting cash share = reserve years × annual spending ÷ $1,000,000, held by both arms.

Sensitivity: 80/20 plan

60/20/20 US equity / international / bonds. Same construction, a more equity-heavy growth bucket.

The gap over time

The engine reports each path’s total wealth year by year, so the paired difference can be followed through retirement. The table shows, for the $40,000-a-year 60/40 plan, the median per-path gap (bucket minus total return, today’s dollars) at six ages and the share of paths on which the bucket arm is ahead at that age. The starting cash share is exact by construction; the engine’s public output does not carry the reserve’s balance afterwards, so the cash share’s later path is not in the dataset — what is shown is its consequence, the wealth gap it produces.

Median of the per-path difference at each age, with the share of paths on which the bucket arm is ahead. $40,000 a year, 60/40, 10,000 paths.

What the bucket buys, and what it costs

What it buys

A place to take withdrawals from that is not the growth portfolio, and with it a different cash profile. After a losing year the reserve funds spending without selling equities or bonds at depressed prices; under the non-losing-year rule it is deliberately left to run down until the growth bucket has had a year that did not lose money. That mechanism carried 21 of 10,000 paths to 95 in the 3-year, $40,000, 60/40 cell that the matched total-return portfolio did not finish (3 to 33 paths per cell across the 36). The second thing it buys is less visible: because the reserve is a set number of years of spending rather than a constant share of wealth, a portfolio that grows carries proportionally less cash as the years pass. On the paths where markets are kind that is more equity exposure than the rebalanced baseline holds, and it is why the bucket arm ends higher at the median in 26 of 36 cells (+$10,705 in the anchor cell, up to +$28,803 at $35,000/yr on 80/20 with a 2-year reserve) and higher on more than half the paths in 26 of them.

What it costs

The tail. The same years-of-spending target works the other way when markets are unkind: a shrinking portfolio carries proportionally more cash, every refill after a loss sells growth assets to buy it, and the reserve never buys back into what fell — while the total-return baseline rebalances into the fallen assets once a year. So the bucket arm runs out more often in 36 of 36 cells (0 equal, none better), by −0.5 pp to −5.9 pp; its 10th-percentile wealth at 95 is lower in 12 cells and equal (at $0) in 24; and the paths only one arm survives run 8,143 to 609 in the total-return portfolio’s favour across all 36 cells (61 to 620 per cell against 3 to 33). In the anchor cell the per-path difference is −$40,903 at its 10th percentile against +$183,393 at its 90th. The larger the reserve, the larger both effects: at $40,000 on 60/40 with refills after non-losing years, the success gap is −0.8 pp for 2 years of cash, −1.8 pp for 3 and −3.7 pp for 5, while the paired median goes from +$21,051 to +$10,705 to $0 and the share of paths the bucket ends higher from 66.2% to 57.4% to 42.5%.

Where the difference is largest

The median advantage is largest where the plan is comfortable and the reserve small: 3.5% spending with two years of cash, where the reserve shrinks fastest as a share of a growing portfolio (+$25,983 at the median on 60/40, higher on 73.0% of paths). The cost is largest where the plan is fragile and the reserve large: 4.5% spending on 60/40 with a 5-year reserve (non-losing year) runs out 5.9 pp more often than its matched baseline and ends higher on only 32.5% of paths. At 4.5% spending the paired median is $0 in 8 of the 12 cells because both arms end at $0 on roughly a quarter of the paths, and the middle of the per-path distribution sits inside that tie.

When the refill rule matters

The two rules differ in what happens after a loss and in how much cash they hold on average. After a non-losing year refuses to refill while the growth bucket is recovering, so the reserve can run to empty in a long bear market; in every other year it tops the reserve back up to its full target, so it holds close to the full N years of cash most of the time. When below half refills only once the reserve is half gone, even in a losing year, which means selling growth assets after a loss — but between refills it lets the reserve drain to half, so on average it holds less cash. Path by path, that second difference is the one that shows: the below-half rule ends higher at the median in 11 of the 18 spending / mix / reserve combinations (the non-losing-year rule in 0, a $0 paired median in 7), by at most $29,716 for a 5-year reserve and at most $3,829 for a 2-year one; the below-half rule is ahead on 41.2% to 73.0% of paths. The success rates of the two rules never differ by more than 1.4 pp in any cell. Next to the reserve size, the refill rule is a second-order choice.

Both bucket arms of a row share the same market paths, so the last two columns are paired statistics between the two refill rules. The below-half test is applied to the reserve’s nominal balance against a target that rises with inflation, so a 2-year reserve sits close to the half-way mark after one year of spending and the rule’s timing then depends on the year’s cash yield; the dataset reports what the engine did.

What it means

• Match the cash before you compare. Much of the apparent difference between a bucket strategy and a total-return portfolio is the cash allocation, not the withdrawal rule. With the cash matched, the 3-year bucket at $40,000 on 60/40 changes the success rate by −1.8 pp and the median outcome by +$10,705.
• A bucket is a glide path in disguise. A reserve set in years of spending is a shrinking cash share in a rising market and a growing one in a falling market — the reverse of a rebalanced mix. That is where the higher median comes from, and where the extra failures come from.
• It does not buy protection against the total-return alternative. The bucket arm ran out more often in every one of the 36 cells; the paths it alone rescued numbered 3 to 33 per cell against 61 to 620 the other way.
• Reserve size is the lever, not the refill rule. Two, three and five years of cash move the success gap from −0.8 pp to −3.7 pp in the anchor plan; the two refill rules never differ by more than 1.4 pp.
• The value of a bucket may be behavioural. These runs assume the total-return retiree rebalances into every downturn without flinching. If a visible cash reserve is what lets a person keep the plan through a bear market, that benefit is real and is not in the numbers here.
• A spending rule does more than a sourcing rule. Both arms here spend the same constant-real amount; the site’s withdrawal-strategy study shows what changing the amount does, which is a different order of effect.

CC-BY-4.0 — free for any use including republication and journalism, with attribution to QuantCalc Research.

Methodology

Assumptions and limitations

• Two buckets, not three. The engine’s rule is the classic bucket strategy reduced to a cash reserve plus one growth portfolio at the plan mix. A bond “middle bucket” is not modelled separately; bonds sit inside the growth mix in both arms.
• The reserve is sized on gross spending and refilled to that target; there is no Social Security or pension in these runs, so gross and net spending coincide.
• Cash earns the cash asset. The reserve earns the roster’s cash return (3.2% nominal, 1.0% volatility under the JPMorgan LTCMA 2026 assumptions), which is what the total-return baseline’s cash earns too. A retiree using a higher-yielding but riskier “cash” would get a different drag.
• Same spending in both arms. Both arms withdraw the same constant-real amount every month; no spending rule reacts to the portfolio. The comparison isolates where withdrawals come from, not how much is withdrawn.
• Parametric returns. Returns are lognormal with the stated means, volatilities and correlations; no regime switching, fat tails or historical block resampling. Deeper or longer bear markets than the model draws would give the reserve more to do.
• The cash share’s later path is not in the dataset. The public contract reports each path’s total wealth, not the reserve’s balance, so the starting cash share is exact and its evolution is described qualitatively; the wealth gap it causes is reported year by year instead.
• Pre-tax, no fees. No taxes, account types, fund expenses or trading costs on either side.
• Behaviour is not modelled. The total-return arm sells into every downturn as the rule requires; any value a visible reserve has in helping a person stay the course is outside these numbers.
• Not advice. Educational research on two ways of sourcing retirement withdrawals; not financial, tax or legal advice.

Frequently asked questions

Does a bucket strategy protect a retirement portfolio better than a total-return approach?

No, not once both approaches start with the same cash. For a 65-year-old with $1,000,000 spending $40,000 a year on a 60/40 plan, a 3-year cash reserve refilled after non-losing years survived to 95 in 85.2% of 10,000 simulated paths against 87.0% for a total-return portfolio holding the same 12.0% in cash and rebalanced every year. Path by path, the bucket arm ended $10,705 more at the median and finished higher in 57.4% of paths, but it ran out on 198 paths the total-return portfolio survived and survived only 21 the other way. Across all 36 combinations of spending, mix, reserve size and refill rule the bucket's success rate was lower in 36 (by -0.5 pp to -5.9 pp) and never higher, while its paired median ran from $0 to +$28,803: a better middle, a worse tail.

What does the cash bucket actually buy?

A different source for withdrawals after a bad year, and a cash share that drifts instead of being rebalanced. In the 3-year, $40,000, 60/40 case the bucket arm reached 95 with money left in 21 paths where the matched total-return portfolio ran out, while the reverse happened in 198 paths. Summed over all 36 cells the counts are 609 paths rescued by the bucket against 8,143 lost to it, out of 360,000 paired comparisons. Because the reserve is a set number of years of spending, a growing portfolio holds proportionally less cash and a shrinking one proportionally more; that is why the bucket ends higher at the median in 26 of 36 cells and runs out more often in all 36.

Why compare against a total-return portfolio that also holds cash?

Because a bucket portfolio holds cash the plan mix does not, and the comparison is only fair if the total-return side starts with the same amount. A 3-year reserve on $40,000 of spending is $120,000 of a $1,000,000 portfolio, 12.0%, so the total-return baseline holds the 60/40 mix scaled to 88.0% plus 12.0% cash and is rebalanced back to that mix every year. The two arms then differ only in where each withdrawal comes from and in how the cash share drifts. Comparing a bucket portfolio with a cash-free 60/40 portfolio would confound the cash allocation with the withdrawal rule.

Does the refill rule matter?

Less than the size of the reserve. Refilling only after a non-losing year and refilling whenever the reserve drops below half its target produced success rates that never differed by more than 1.4 pp in any cell. At the median the below-half rule ended higher in 11 of the 18 spending / mix / reserve combinations (the non-losing-year rule in 0), by at most $29,716 for a 5-year reserve, because letting the reserve drain to half means holding less cash on average. For the 3-year, $40,000, 60/40 case the two rules reached 95 with money left in 85.2% and 85.0% of paths respectively.

How big should the cash bucket be?

In these runs a larger reserve erodes the median advantage and widens the extra chance of running out. At $40,000 on 60/40 with refills after non-losing years, the paired median difference against the matched total-return portfolio was +$21,051 for a 2-year reserve, +$10,705 for 3 years and $0 for 5 years, with success rates of 86.2%, 85.2% and 83.1% against 87.0%, 87.0% and 86.8% for total-return portfolios holding the same starting cash. Each extra year of reserve is another year of spending whose share of the portfolio rises exactly when the portfolio is falling.

Are these numbers real dollars, and are taxes included?

All dollar figures are in today's dollars: the engine raises spending with 2.5% inflation and deflates every reported balance back to the retirement date. Nothing is after tax, there is no Social Security or pension income, and both arms spend the same constant-real amount every year; the study isolates the withdrawal-source rule and nothing else. Returns follow the JPMorgan LTCMA 2026 capital-market assumptions the site's planner uses, sampled with quasi-Monte Carlo, 10,000 paths per arm, identical draws for the two arms of every pair.

Related research

Changelog

• v2026.1 (2026-09-07) — initial release. 36 bucket cells (3.5% / 4.0% / 4.5% spending, 60/40 and 80/20, 2/3/5-year reserves, two refill rules) against cash-matched total-return baselines; 10,000 paired paths per arm; per-path paired statistics at 95 and by year.

Last updated 2026-09-07. Dataset license: CC-BY-4.0. QuantCalc is an independent retirement-planning research project. The JPMorgan LTCMA 2026 name identifies the published capital-market assumptions the engine uses; QuantCalc is not affiliated with, endorsed by, or sponsored by that firm, and all trademarks belong to their respective owners. Educational research, not financial, tax, or legal advice.

@misc{quantcalc2026bucketstrategyvstotalreturndoesacashbuck,
  title  = {Bucket Strategy vs Total Return: Does a Cash Bucket Protect a Retirement Portfolio? (2026)},
  author = {{QuantCalc Research}},
  year   = {2026},
  url    = {https://quantcalc.app/research/bucket-strategy-vs-total-return-2026/},
  note   = {Accessed <date>}
}