QuantCalcFor advisorsThe client report

What's on page 1 of the client report

A spending answer in dollars and the two portfolio levels that change it — instead of a percentage the client has to interpret.

A client who is told their plan has an 83% probability of success still does not know what they can spend, what failure would look like in dollars, or what they would need to change and when. The percentage hides magnitude and hides timing. This page shows what the report puts in its place.

The top of page 1

Annual spending
$40,000
4.00% of $1,000,000 at retirement · today's dollars · Guyton-Klinger guardrails
If the portfolio rises to $1,250,000
raise to $44,000/yr
If the portfolio falls to $833,333
trim to $36,000/yr
Survived, with adjustments99.0%
Median ending balance$967,514
10th percentile ending balance$181,764

Under the guardrail rule the engine also reports what it actually delivered across all 10,000 paths — in this run, average real spending of $25,878 in the worst decile, $42,777 at the median and $64,579 in the best decile, against the $40,000 plan. The success rate is still there; it is no longer the headline, and it is labelled as what it measures — here, that rule’s own survival, not the flat-spending case.

Where the guardrail levels come from

They are Guyton-Klinger guardrails, set at ±20% of the initial withdrawal rate, and they are closed-form arithmetic rather than a simulation output. That means they are exact, and a client can check them:

QuantityCalculationResult
Initial withdrawal rate$40,000 ÷ $1,000,0004.00%
Trim guardrail (portfolio)$1,000,000 ÷ 1.20$833,333
Spending after a trim$40,000 × 0.90$36,000
Raise guardrail (portfolio)$1,000,000 ÷ 0.80$1,250,000
Spending after a raise$40,000 × 1.10$44,000

The report also states the rule's own limitation on its face: Guyton-Klinger suppresses the spending cut inside the final 15 years of a plan, so where that applies the trim guardrail is marked as not applicable rather than printed as a level that cannot fire.

Why this beats leading with the percentage

Run four withdrawal rules across the same 10,000 paths — 35 years, 60/40, common random numbers so each faces an identical set of futures — and the percentage turns out to be pricing a behavioural commitment, not forecasting skill:

 Static 4% realGuardrails, starting at 5%
Plan survival83.0%98.9%
Lifetime spendingBaseline15% more
Typical worst-case real spending cutNone — income never moves27%
Median real ending balance$1.16M40% smaller

The guardrail plan starts at a higher rate, spends more, and fails less — because it is allowed to react. The full method and per-rule results are published in the underlying study: guardrails vs. the fixed 4% rule, quantified.

What else the report carries

📄 Download this sample report (PDF) 📊 Forecast-comparison sample (PDF) 📑 Forecast-comparison methodology (PDF) See QuantCalc for advisors →

The sample report is generated by the product itself from the plan shown above — not a mock-up. The forecast-comparison sample is the separate six-forecast deliverable, and the methodology supplement documents both.

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