Wealth Projection: How to Simulate Your Financial Future

You know your net worth. You've completed your wealth assessment. But do you know what your wealth will look like in 5 years? In 10 years? By the time you retire?

Most people manage their finances in the present, without ever looking ahead. It's like driving while staring at the dashboard, never looking at the road ahead. A wealth simulation is exactly that: looking up and seeing where you're headed.

And contrary to what you might think, it's not about predicting the future. It's about understanding the range of possible futures — so you can make better decisions today.

Why Simulate Your Wealth Evolution?

Visualise the Real Impact of Your Decisions

What happens if you save an extra €200 per month? If you buy a rental property? If you pay off your mortgage early? These decisions seem modest day-to-day, but their impact compounds spectacularly over 10 or 20 years.

A simulation lets you see that impact before you live it.

Stress-Test Scenarios Before They Happen

What if markets drop 30% next year? What if you lose your job for 6 months? What if inflation stays elevated for a decade? Rather than hoping for the best, a simulation shows you how your wealth withstands adversity — and whether your plan holds even in bad scenarios.

Set Realistic Goals

"I want to retire at 55" is a wish. "At my current savings rate and realistic returns, my wealth will reach X by age 55, covering Y years of expenses" is a plan. Simulation turns wishes into quantified projections.

Reduce Financial Anxiety

Paradoxically, seeing a pessimistic scenario in black and white is often less anxiety-inducing than total uncertainty. Financial anxiety rarely comes from the numbers themselves — it comes from the fog. Simulating clears that fog.

The Foundations of a Wealth Simulation

Starting Point: Your Current Assessment

No reliable simulation without an up-to-date wealth assessment. It's the foundation. The simulation takes every asset, every debt, every investment class — and projects them forward according to their specific characteristics.

Input Variables

A simulation feeds on several parameters: your net income, monthly savings, expected return by asset class, inflation, your loan repayment schedule, and planned life events (property purchase, retirement, children).

These aren't predictions. They're assumptions — and the entire value of the simulation lies in your ability to vary them.

Projection Horizon

The horizon you choose fundamentally changes the nature of the simulation:

Short term (1-3 years): useful for concrete, imminent projects. Uncertainty is limited, the projection is relatively reliable.

Medium term (5-10 years): the heart of financial planning. Long enough for compound returns to play out, short enough to remain actionable.

Long term (15-25 years): essential for retirement and succession. But uncertainty is significant — this is where a single scenario falls short and you need to think in ranges.

The Problem with Linear Projections

The most common approach — and the most misleading — is projecting wealth at a fixed rate: "+5% per year for 20 years". It's simple, reassuring, and wrong.

In reality, markets don't rise 5% every year. They surge 18% one year, crash 25% the next, stagnate for three years, then boom. The average might be 5%, but nobody lives in the average.

A linear projection gives you one smooth, reassuring curve. It doesn't prepare you for the dips. It doesn't show you that in an unfavourable scenario, your early retirement could be pushed back by 5 years. And it doesn't tell you that in a favourable scenario, you might reach your goals much sooner than expected.

To get a realistic picture, you need to model uncertainty itself.

The Monte Carlo Method: Simulating Hundreds of Possible Futures

The Monte Carlo method is the alternative to linear projections. The principle: instead of drawing a single curve with an average return, you simulate hundreds of possible trajectories, each under different market conditions — crisis years, stable years, boom years, in different sequences.

The result isn't a single number but a range: a pessimistic scenario (what happens if things go wrong), a median scenario (the most likely trajectory), and an optimistic scenario (if everything goes well). This range gives you a realistic view of what's possible.

It's a method that's been used for decades in finance, engineering, and even meteorology. And it's exactly what Orizen uses to project your wealth. If you want to understand in detail how our simulation engine works — how each asset class is modelled differently, why we run exactly 500 simulations, and what that changes compared to a standard projection — check out our dedicated article on the Orizen simulation.

A Concrete Example

Let's take a typical profile: Sophie and Marc, age 35, with a portfolio of:

• Savings (accounts): €25,000
• Investment portfolio (ETFs): €60,000
• Primary residence: €280,000
• Crypto: €10,000
• Outstanding mortgage: -€200,000 (15 years, €1,200/month)

Starting net worth: €175,000. They save €1,500 per month.

After simulation over 20 years:

Horizon	Pessimistic scenario	Median scenario	Optimistic scenario
5 years	€260,000	€310,000	€380,000
10 years	€380,000	€510,000	€720,000
20 years	€580,000	€920,000	€1,450,000

Notice how the gap between pessimistic and optimistic widens over time — that's uncertainty growing. But even in the pessimistic scenario, their net worth triples in 20 years, largely thanks to regular savings and mortgage repayment.

This is the kind of visualisation that transforms a vague hope ("we should be fine for retirement") into a quantified conviction.

Simulation Limitations (And How to Handle Them)

Every simulation has its limits. Knowing them means using it better.

A simulation isn't a prediction. It shows you the range of possibilities, not what will happen. Nobody — no algorithm, no adviser — can predict markets. Simulation is a decision-support tool, not a crystal ball.

Past returns guarantee nothing. The simulation parameters are calibrated on historical data. They provide reasonable orders of magnitude, but the future may differ from the past.

Unforeseen events can't be modelled. An unexpected inheritance, a divorce, an illness, a technological revolution: some events change everything and can't be anticipated by any model. All the more reason to maintain a safety margin in your plan.

Review your simulation regularly. A simulation done once isn't set in stone. As your situation evolves, rerun the projection with updated data. At least once a year.

Simulation and Tracking: Two Sides of the Same Coin

Simulation gives you a target. Regular wealth tracking tells you whether you're on the right trajectory.

The two are complementary. Without simulation, you track your numbers without knowing where they're leading. Without tracking, your simulation relies on outdated data.

The virtuous cycle: you complete your assessment, run the simulation, identify necessary adjustments, take action, then reassess a few months later to verify you're on track. That's the loop that transforms passive wealth management into active steering.

Conclusion

Simulating your wealth evolution means giving yourself the power to decide rather than react. It doesn't require financial expertise: with an up-to-date assessment and the right tool, 15 minutes is enough to project your financial future over the next 25 years.

The point isn't to get an exact number — it's to understand the range of possibilities, identify the risks, and know that even in the pessimistic scenario, your plan holds.

And if it doesn't, that's precisely why simulation exists: to adjust now, rather than finding out too late.