Scott & Courtney — Retirement Monte Carlo

Source: Boldin export 2026-04-06 · Retirement Nov 2027–2079 (ages 41–93)

Blended avg: 5.75% · opt 6.88% · pess 4.63%
-- Success Rate
-- Port @ Retire
-- P25 Est. Draw
-- Median Fail Yr
Your Success Rate
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Boldin Baseline
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Portfolio at Retirement
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Median across simulations
Worst-10% End Value
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10th percentile at age 93
P25 Portfolio at Retirement
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25th percentile — conservative baseline
3.5% Draw Capacity (P25 port)
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Run simulation — this is MC capacity, not your Boldin draw
Year 1 WR (pre-SS)
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vs. median retirement portfolio
Median Failure Year
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Among failed simulations only
Per-Account Return Calibration Reverse-engineered from Boldin export · Average scenario
7.1%
Equity μ (arith.)
75% of portfolio
3.5%
Bond / Bridge Return
25% of portfolio
15%
Equity Volatility (σ)
Bonds ~40% as volatile
5.7%
Blended Portfolio
All accounts
Dividends tracked separately in Boldin cash flows. Bucket strategy: 3yr bond buffer shields from selling equities in down years.
Annual Spending Breakdown Boldin plan · What you spend, what offsets it, and what must come from the portfolio
Net Living Draw
Income Taxes
Social Security
Dividends
Peak Expense Yr
Peak Net Draw
SS Starts
Year 1 Net Draw
Bar height = total planned expense (from Boldin, incl. taxes). Blue = net portfolio draw. Green = Social Security. Yellow = taxable brokerage dividends. Red = draw > $180K/yr. Hover a bar to see the breakdown.
Portfolio Projection — Monte Carlo Fan ChartShaded = percentile bands · Dashed = Boldin Average deterministic baseline
90th
Median
10th
Boldin Avg
Milestone Checkpoints Success rate = % of simulations still solvent at that year
Year · Age · EventP10MedianP90Solvent%Median vs StartSeq. Risk
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Retirement Cash Flows
YearLiving ExpTaxesTotal SpendSS IncomeDividendsNet Draw
Dividends reduce portfolio withdrawals in simulation. Bootstrap returns use total-return data (Damodaran) — dividends are already embedded in portfolio growth, so dividend income shown here is mildly conservative (~1–2%).
Historical Stress Tests Deterministic replays of worst historical sequences · Based on actual S&P 500 + Treasury returns
Click "Run Simulation" to populate  ·  Shows how your plan would survive the worst sequences in market history
Sequence Start Scenario Name Yr 1–3 EQ Portfolio @ 5yr Portfolio @ 10yr Portfolio @ 20yr Survived 50yr?
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Each row runs a deterministic replay of real historical returns starting from that decade. Your Boldin cash flows are used for withdrawals. Bucket Strategy and Spending Flex settings apply.
Spending Sensitivity Success rate at ±$30k/yr spending scenarios · Based on same parameters as main simulation
Shows your margin of safety — how much spending flexibility you have
Annual Spending Adjustment Net Withdrawal Change Success Rate Margin Interpretation
Run simulation to see withdrawal rate analysis
How this works: Each simulation draws annual returns either from a Student-t distribution (df=5 equity / df=8 bonds — fatter tails than normal, matching real crash frequency) or by bootstrapping from 97 years of real S&P 500 + Treasury history (1928–2024) — capturing actual crashes, secular bear markets, and fat-tail events that pure normal draws miss. Cash flows come directly from your Boldin export. The Bucket Strategy avoids selling equities in negative-return years by drawing from the bond buffer first. Spending Flex cuts discretionary spending when the portfolio drops past the trigger threshold. The inflation slider shows real vs nominal return context.