Step 07 — Monte Carlo

Probability of retirement success

1,000 randomized market simulations using your Portfolio + Fixed Projection inputs

Simulation assumptions
Means (μ) and volatilities (σ) come from the Portfolio tab. Inflation is drawn stochastically each year.
Simulations
1,000 runs
Independent random market paths
Accumulation return (μ)
7.0%
Mean annual return while working — from Step 5
Retirement return (μ)
5.0%
Mean annual return after retirement
Volatility working (σ)
10.0%
From Portfolio tab selection
Volatility retirement (σ)
6.0%
From Portfolio tab selection
Inflation (μ)
2.5%
Applied to expenses, SS, salary base
Inflation (σ)
1.00%
Stochastic annual draw
Salary growth
3.0%
Annual raise during working years
Distribution
Normal (Gaussian)
Box-Muller; success = balance > 0 at life expectancy
Inflation volatility
Historical US ≈ 1.0–1.5%
Success probability
25.5%
74.5% of runs depleted
Median ending balance
$0
At age 90
10th percentile (bad case)
$0
Worst 10% of outcomes
90th percentile (good case)
$3,444,599
Top 10% of outcomes
Portfolio fan chart
Shaded bands show the 10–90% and 25–75% range of outcomes across 1,000 simulations. Solid line = median.
Ending balance distribution (age 90)
10th percentile
$0
25th percentile
$0
Median percentile
$0
75th percentile
$33,113
90th percentile
$3,444,599
Required nest egg target
In nominal (future) dollars
$2,724,784
In today's dollars
$1,148,145
How these simulations work