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Retirement Calculator

Project your nest egg at retirement.

Your plan

Deterministic projection

Projected over 36 points$0$250,000$500,000$750,000$1,000,000$1,250,000Age 30Age 36Age 42Age 48Age 53Age 59Age 65
  • Projected

Stress test

Your current inputs

Monte Carlo simulation

Runs your plan 2,000 times with random annual returns drawn from μ=7%, σ=15%. Shows the probability the plan funds you through age 90.

Click Run to simulate.

Goal seek

Given a target for balance at retirement, find what one input must be.

At age 65
$1,188,181
35 years of growth
Total contributed
$235,000
Investment earnings
$953,181

About the Retirement Calculator

MethodologyHome

A retirement calculator projects the value of your nest egg at retirement given a starting balance, regular contributions, expected return, and time horizon. Advanced versions add volatility (Monte Carlo) and inflation to estimate how likely the plan is to last.

How it works

  1. Calculate years until retirement. Retirement age minus current age.
  2. Compound contributions. Each monthly contribution grows at the expected return over the remaining years.
  3. Account for inflation. Nominal dollars are converted to today's purchasing power.
  4. Run Monte Carlo simulation. 2,000+ simulations draw random annual returns from a normal distribution to estimate a success rate instead of a single point.

Formula

FV = P(1+r)^n + PMT × ((1+r)^n − 1)/r
  • FV = Future value at retirement
  • P = Current balance
  • PMT = Monthly contribution
  • r = Monthly return
  • n = Months to retirement

Frequently asked questions

How much should I save for retirement?

A common rule is to save 15% of gross income including any employer match. Another benchmark is to have 1× your salary saved by 30, 3× by 40, 6× by 50, 8× by 60, and 10× by 67.

What is the 4% rule?

The 4% rule suggests withdrawing 4% of your retirement portfolio in the first year, then adjusting for inflation annually. Historical data (Trinity Study, later updates) suggests this supports a 30-year retirement with high probability.

What's a realistic rate of return?

Historical US stock returns average about 10% nominal and 7% real. A balanced portfolio often projects 5–7% real return. Using 10% without volatility can overstate confidence.

What does Monte Carlo tell me?

Monte Carlo simulates thousands of random return paths to estimate the probability your plan survives. A 90%+ success rate is considered robust; below 75% suggests reviewing contribution, asset mix, or retirement age.

Concepts

Sources & methodology

  • Monte Carlo volatility parameters reflect long-run US equity market data (S&P 500 σ ≈ 15–17%).