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.
Structurally this thing is three ETFs in a trench coat pretending to be sophisticated. Sixty‑five percent is in one “own-the-whole-world” fund, then you bolt on 25% Europe and 10% World ex‑USA like a nervous decorator who keeps adding the same color paint. You’ve basically got global equity… plus extra global equity… plus a side order of global equity, all with heavy overlap. It’s not disastrous, just redundant. Composition‑wise this is more “ETF matryoshka doll” than carefully sculpted mix. The main takeaway: you could likely get almost the same exposure with fewer moving parts and a simpler story without changing the risk profile much.
Performance-wise, you accidentally did something right. A 10.42% CAGR over the period, turning €1,000 into €1,226, is slightly beating both the US market and the global market. CAGR (compound annual growth rate) is the “average speed” of your money over the trip. Max drawdown of -19.46% is less ugly than the benchmarks too, so you didn’t get paid with extra pain. Just remember: this track record covers basically one weird market cycle, not some timeless truth. Past data is like yesterday’s weather: useful, but it won’t stop tomorrow’s storm. Takeaway: solid result, but don’t build a personality around it.
The Monte Carlo simulation basically rolled the dice 1,000 times on 15-year futures for this portfolio. Median outcome of €2,712 from €1,000 sounds nice, but the “possible range” from €908 to €7,130 politely screams: “Anything could happen.” That’s the point — simulations aren’t predictions, they’re stress tests with delusions of grandeur. About 74% of scenarios end positive, which suits a balanced risk score vibe. But notice how the downside is “barely above break-even after 15 years,” while the upside is “lottery ticket with a job.” Takeaway: good odds, but still equity risk — not a magic compounding machine.
Asset classes: 100% stocks, nothing else. For a “balanced” label, this is basically an equity maximalist in a sensible jacket. No bonds, no diversifiers, just one giant bet that global companies will keep marching up and to the right. That’s fine if the time horizon is long and nerves are solid, but calling this “balanced” is generous; it’s more like “equity-only but not totally reckless.” In practical terms, any serious crash hits the whole thing at once. Takeaway: if someone wants smoother ride, this setup is about as subtle as an all‑espresso diet.
Sector split actually looks… suspiciously reasonable. Tech and financials tied at 19%, then industrials, health care, and the usual suspects in roughly index-like proportions. No glaring sector addiction, no bizarre 40% bet on one theme. The quiet problem: you’re basically hugging a broad global index, which means you inherit whatever the market’s latest fashion is. When tech leads, you look smart; when it blows up, you “believe in diversification” again. Takeaway: sector exposure isn’t the villain here — it’s just telling you that this portfolio lives and dies with whatever the global equity market is obsessed with.
Geographically, this is “World, but make it Western.” Around 43% North America and 40% developed Europe means you’re heavily parked in rich, established markets with a token sprinkling of everything else. Japan, Asia, Latin America, Africa are basically background characters. It’s not crazy — the global market itself is skewed this way — but it does mean you’re betting heavily on the existing economic order staying in charge. If the next few decades belong more to today’s smaller regions, you’ll only catch the trailer, not the full movie. Takeaway: geographically safe, but not exactly forward-looking.
Market cap tilt screams “index hugger with a tiny adventurous streak.” Almost half in mega‑caps and another third in large‑caps means the giants rule your fate. Mid‑caps get a polite invite, while small and micro‑caps are the crumbs under the table. This is comforting, because big companies are usually more stable, but it also means you miss a lot of the wild upside (and chaos) from smaller names. You’re basically choosing the corporate blue-bloods over scrappy upstarts. Takeaway: if you want real small-cap spice, this isn’t it; it’s more blue-chip comfort food.
The look-through is basically a greatest-hits tech compilation: NVIDIA, Apple, Microsoft, Amazon, Alphabet, Meta, TSMC, Broadcom. You don’t hold individual stocks, but thanks to the ETFs you’re quietly worshipping at the altar of the same mega-cap gods as everyone else. And because coverage only uses ETF top‑10s, the real overlap is almost certainly worse than it looks. When the same giants appear in multiple funds, you’re not diversified, you’re just paying several wrappers to deliver the same playlist. Takeaway: you’ve outsourced stock picking, but not concentration risk — big tech still drives the bus.
Risk contribution is where the illusion of variety dies. That 65% SPDR ACWI IMI position is doing over 68% of total risk heavy lifting. The other two ETFs are glorified side characters, sharing the remaining third between them. Risk contribution shows which holdings actually move the portfolio, not just how big they look on paper. Here, one fund is the main plot; the others are B‑roll footage. That’s not inherently bad, but it makes the whole “three-ETF” structure look a bit theatrical. Takeaway: if one holding drives two‑thirds of your risk, you’d better really like what’s inside it.
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 efficient frontier section is the plot twist: despite the redundancy and overlap, the portfolio sits basically on the frontier. Sharpe of 0.52 versus 0.8 for the optimal version sounds bad, but remember that’s using the same ingredients with slightly different seasoning. The current mix delivers 10.91% expected return for 13.34% risk — very close to what’s theoretically best with these three ETFs. Translation: for all the clunky design, it’s surprisingly efficient at turning risk into return. Takeaway: structurally messy, but mathematically not stupid. Don’t let that justify complacency, though; efficient doesn’t mean bulletproof.
Costs are… not tragic but not exactly bargain-bin either. A total TER of 0.28% is acceptable, but that 0.40% on the SPDR global fund is the diva in the fee lineup. Given how vanilla the exposure is, you’re paying a slight premium for something many cheaper funds could mimic. TER (ongoing fee) is basically the annual cover charge for being allowed into the fund. Takeaway: you’ve avoided fee disaster, but you’re definitely not operating at maximum tightwad efficiency — there’s mild leak rather than full drain.
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