Case Study Β· Global / FIRE

Emma Clark β€” chasing FIRE by 45

A freelance developer with a 90/10 equity-heavy portfolio and aggressive savings rate. Monte Carlo shows her $1.5M target is a coin flip β€” not a certainty.

🌍 Digital NomadπŸ“Š Aggressive (90/10)🎯 $1.5M Target

Emma Clark, 33 β€” Single, Digital Nomad

Emma is a FIRE enthusiast who works remotely as a freelance software developer, leveraging geo-arbitrage to minimize expenses while traveling through Southeast Asia and Europe.

Emma's FIRE strategy

Can her savings rate and aggressive strategy realistically hit $1.5M in 12 years? What is the probability of success, and what are the key risks?

The linear answer: "Right on schedule"

Assuming a steady 8% annual return, her portfolio would surpass $1.5M just before age 45.

Typical FIRE calculators show this. A smooth upward curve hitting your target on schedule. But is it realistic?

The RetireSIM reality: a coin flip, not a certainty

When we stress-test against thousands of scenarios β€” bear markets, sequence risk, variable inflation β€” the picture changes dramatically.

⚠ Sobering Reality
Only 50% probability of reaching her goal by 45

It's a coin flip β€” half of market scenarios get her to $1.5M on time, half don't.

βœ• Worst Case Scenarios
In 10% of scenarios, she falls short by $600,000+

A major bear market during her late 30s or early 40s could delay her FIRE date by 5–7 years.

Emma FIRE Monte Carlo simulation
Monte Carlo simulation β€” wide probability bands reveal the real uncertainty.

Why such high variance? Her 90/10 allocation amplifies both gains and losses. A prolonged downturn in her early 40s β€” when her portfolio is largest β€” could substantially delay her target.

Discover the full analysis: Explore outcomes, crash impact, and levers like savings rate and allocation in the Monte Carlo tab.
Run Emma's Scenario in the Simulator β†’

Related: digital nomad FIRE, early retirement calculator, geo-arbitrage, FIRE by 45, Monte Carlo FIRE simulation

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