The risk profile, derived from past market volatility, reflects the level of risk the portfolio is exposed to. This assessment helps align your investments with your financial goals and comfort with market fluctuations.
The diversification assessment evaluates the spread of investments across asset classes, regions, and sectors. This ensures a balanced mix, reducing risk and maximizing returns by not concentrating in any single area.
The portfolio is very straightforward: it holds three broad equity ETFs and nothing else. Around 70% sits in a global all‑world fund, 25% is in a developed Europe fund, and 5% targets emerging markets. This means you are fully invested in stocks, with no bonds or alternatives to dampen volatility. A simple structure like this is easy to understand and monitor, which is a real plus. The main implication is that returns and risk will closely follow global stock markets, without a built‑in safety cushion. Anyone using a setup like this generally needs either a long horizon or a separate low‑risk bucket elsewhere.
From late 2019 to March 2026, the sample €1,000 grows to about €1,890, a compound annual growth rate (CAGR) of 11.02%. CAGR is like the average yearly “speed” of growth over the full journey. This slightly edges out the global market proxy, which lands at 10.98%, and comes with a very similar worst peak‑to‑trough fall (max drawdown) of about –34%. Compared to the US market reference, which had much higher returns and far smaller drawdowns, the portfolio looks more like a typical diversified global mix. The small set of days driving most gains underlines why staying invested through ups and downs is crucial.
The Monte Carlo projection uses the portfolio’s historical returns and volatility to simulate many possible 10‑year paths for a €1,000 investment. Think of it as rolling the dice 1,000 times using past patterns as a guide, then seeing the range of outcomes. The median (50th percentile) result shows roughly a 242% cumulative gain, while even the more pessimistic 5th percentile is still positive at about 9.5%. An average simulated annual return of around 10.3% is close to history. This is encouraging, but it’s vital to remember that these simulations assume the future behaves somewhat like the past, which is never guaranteed.
All assets here are in the stock category, with 100% equity exposure. That’s simple and clean, but it also means there is no built‑in diversification across asset classes like bonds, cash, or real assets, which typically move differently in crises. A setup like this is usually aligned with growth‑focused investors who can tolerate short‑term swings for higher long‑term potential. For someone wanting smoother ride characteristics, a separate allocation to lower‑risk assets elsewhere in their overall finances can help balance things out. Still, for pure equity exposure, this allocation is broad and aligns well with global norms.
Sector allocation is nicely spread, with technology the largest at 22%, followed by financials, industrials, healthcare, and consumer areas. No single sector dominates the portfolio, and the mix broadly resembles major global indices, which is a strong indicator of diversification. A moderate tech tilt can boost growth but will likely bring added sensitivity to interest‑rate and innovation cycles. Meaningful allocations to financials, healthcare, and defensives help balance that out. This kind of sector profile usually behaves reasonably well across different economic environments, while still participating when growth and innovation‑driven areas lead markets higher.
Geographically, the portfolio leans 45% toward North America, about 35% to developed Europe, with the rest spread across Asia, Japan, emerging regions, and a small slice in other areas. This is quite close to global equity weights, but with a clearly stronger emphasis on Europe than a pure world‑cap index, reflecting the dedicated European ETF. The balance between US and non‑US exposure is healthy and supports genuine global diversification. This reduces dependence on any one economy or currency, which is particularly useful for long‑term investors who want their outcome less tied to a single region’s fortunes.
By market capitalization, nearly half the portfolio sits in mega‑caps, a third in large caps, and the rest in mid‑caps. This tilts the portfolio toward established, globally dominant companies with deep liquidity and generally more stable business models. Such companies can still be volatile, but they often weather downturns better than very small firms and typically have more diversified revenue streams. The mid‑cap portion adds some extra growth potential and diversification without the extreme swings that can come from tiny stocks. Overall, this size mix closely tracks mainstream indices and supports a balanced risk profile within equities.
Looking through the ETFs’ top holdings, the largest underlying exposures are big global names like NVIDIA, Apple, Microsoft, TSMC, Amazon, Alphabet, Meta, Broadcom, and ASML. Each one is only a few percent of the overall portfolio, but several appear in more than one ETF, creating some quiet concentration in mega‑cap growth and tech‑linked businesses. Because only top‑10 ETF holdings are captured, true overlap is probably somewhat higher. This is normal for broad index products and helps explain why performance and risk will often resemble global stock benchmarks, especially when large companies are driving market returns.
Factor exposure analysis shows notable tilts toward momentum and size. Momentum (around 53.8%) means the portfolio leans into stocks that have been strong recent performers, which can help in trending markets but may hurt when trends sharply reverse. Size exposure (20%) indicates a leaning away from the very smallest companies and toward larger ones, which is consistent with the market‑cap breakdown. Factor exposure is like analyzing the “ingredients” that drive returns, and this mix suggests the portfolio may outperform when large, strong‑trending names lead the market. The relatively low average factor signal coverage means readings should be taken as directional, not precise.
Risk contribution looks at how much each holding adds to the portfolio’s overall ups and downs, not just how big it is in percentage terms. Here, each ETF’s risk share is almost identical to its weight: the all‑world ETF at 70% contributes about 70.7% of risk, the Europe ETF about 25% of risk, and emerging markets around 4.6%. That neat alignment means there are no hidden “risk bombs” where a small position drives a big chunk of volatility. It also shows that decisions about risk are effectively decisions about these three weights, making it very straightforward to adjust the overall profile.
This chart shows the Efficient Frontier, calculated using your current assets with different allocation combinations. It highlights the best balance between risk and return based on historical data. "Efficient" portfolios maximize returns for a given risk or minimize risk for a given return. Portfolios below the curve are less efficient. This is informational and not a recommendation to buy or sell any assets.
Click on the colored dots to explore allocations.
The risk‑return analysis shows the current portfolio sits on the efficient frontier, meaning it uses the existing holdings in a way that’s already very efficient for its risk level. Its Sharpe ratio of 0.57, which measures return per unit of risk, is only slightly below the optimal mix of these same ETFs at 0.66. The minimum‑risk version has a similar Sharpe and only marginally lower volatility. This tells you that any improvement from reweighting would be incremental, not transformative. Overall, the current setup does a strong job of extracting expected return for the amount of equity risk being taken.
The total ongoing cost (TER) of roughly 0.16% per year is impressively low for such broad global exposure. Costs are one of the few things investors can control, and even a small difference compounds significantly over decades. Keeping fees at this level means more of the portfolio’s gross returns stay in your pocket, which supports better long‑term outcomes. The choice of large, low‑cost index ETFs is very much in line with best practices used by many institutional investors. From a cost perspective, this setup is already very efficient and leaves little room for meaningful improvement.
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