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.
Balanced Investors
This setup fits someone who says they’re “balanced” but deep down enjoys watching markets wobble as long as the long-term trend points up. Patience is baked in: they’re likely thinking in decades, not quarters, and can handle a -30% face punch without rage-selling everything. They care about simplicity, hate pointless costs, and would rather own the global crowd than pretend to be a stock-picking prodigy. Risk tolerance is moderate-to-high: enough to go full equity, but not enough to start hoarding niche themes or leverage toys. The main goal smells like steady wealth building, not lottery-ticket chasing or short-term income.
Structurally, this thing is the IKEA bookshelf of portfolios: three big, sensible, globally oriented equity ETFs bolted together with an Allen key. Forty percent Europe, forty percent North America, twenty percent emerging markets — simple, clean, no garnish, zero creativity. It’s globally stock-only, which is bold for something labeled “balanced”; apparently “bonds” are just rumors you’ve heard about. The good news: it’s easy to understand and not full of random niche bets. The bad news: it’s a one-speed machine. Takeaway: this setup works for someone who wants “world-ish stocks” and doesn’t overthink it, but calling it balanced is… optimistic.
Historically, the portfolio pulled a 11.15% CAGR from mid-2019, turning €1,000 into €1,936. Decent. But then you look at the US market benchmark cruising at 19.72% CAGR and you’re basically the car doing the speed limit in the right lane while the S&P blows past like a Ferrari. Versus the global market, you’re actually slightly ahead on CAGR (10.77% vs 11.15%), so the structure isn’t dumb — it’s just not a US-maxi rocket. Max drawdown at -34.1% matches global pain levels, so you signed up for full equity trauma. Past data is yesterday’s weather though: helpful, but it doesn’t swear on anything.
The Monte Carlo projection — fancy term for “what if we rerun this movie 1,000 times with slightly different plots” — is actually pretty flattering. Median scenario ends up around +276% over 10 years, with an 11.33% annualized return and 972 of 1,000 runs finishing positive. But notice the 5th percentile: only +25.6% after a decade. That’s the “10 years of annoying slog and disappointment” timeline. Simulations just remix the past, though; they can’t predict new wars, new bubbles, or the next financial circus. Takeaway: odds look in your favor, but this is still an all-equity ride, not a capital-preservation spa.
Asset classes: 100% stocks, 0% anything else. This is not “balanced”; this is “I read one Boglehead thread and slammed the buy button.” It’s like calling a diet “balanced” because you eat pizza with different toppings. There’s no shock absorber from bonds, cash, or anything that doesn’t move like equities. That’s fine if the plan is long-term growth and you can watch your account drop a third without panic-selling. But if the word “balanced” is on the label because it feels comforting, that’s marketing cosplay. Takeaway: either own the fact this is a pure equity engine or rethink expectations.
Sector breakdown: Technology 22% plus a bunch of support acts — financials, industrials, healthcare, cyclicals, defensives, energy, utilities, real estate. On paper, that’s a pretty broad spread, so kudos for not accidentally building a single-sector shrine. But the tech and chip exposure hiding in those top holdings means your real “emotional beta” is heavily tied to growth stories and innovation hype cycles. When optimism is in fashion, you look smart; when it isn’t, you learn what a 3-year sideways chart feels like. Takeaway: sector spread is decent, but don’t kid yourself — the tech tilt is doing a lot of heavy lifting.
Geographically, this is almost textbook: 40% North America, 39% developed Europe, plus a measured sprinkle of Asia developed, Asia emerging, Africa/Middle East, Latin America, and a dash of emerging Europe. Shockingly sensible global spread for such a simple build — like you accidentally did the homework. You’re not massively overbetting one region, and you’re not pretending one home market is the only source of returns. Of course, in real life, global crises ignore these neat labels, but at least you’re not “America or nothing” or “local hero” biased. Takeaway: geography is one of the least dumb parts of this whole setup.
Market cap: 49% mega, 33% big, 16% mid, and a sad 1% small caps. This is a love letter to giant, established companies with actual HR departments and legal teams instead of “three people and a pitch deck.” That usually means smoother behavior than a small-cap rodeo, but also less chance of catching crazy 10x rockets. The tilt toward mega and large is what you’d expect from broad market indices, so nothing creative here — just hugging the benchmark. Takeaway: if you want more juice (and drama), you’d need more mid/small; if you like sleeping, this tilt is pretty aligned.
Looking through the ETFs, the top exposures scream “I like big chips and I cannot lie”: NVIDIA, Apple, TSMC, Microsoft, ASML, Amazon, Alphabet, Samsung, Broadcom. Basically a who’s who of global megacap tech and semi royalty. And that’s with only 27% of holdings visible via top 10 lists, so the real overlap is probably chunkier than it looks. This isn’t three separate meals; it’s three plates of the same buffet. Hidden concentration means when big tech sneezes, your whole portfolio catches pneumonia. Takeaway: diversification across tickers is not the same as diversification across underlying businesses.
Factor exposure: strong momentum (59%) and a size tilt (20%), with low overall signal coverage. Factor exposure is basically checking what hidden personality traits your portfolio has — speed, stability, cheapness, etc. You’ve clearly leaned into momentum: buying what’s been winning. That works great until the music stops, then momentum flips from “genius” to “faceplant” very fast. The size tilt hints at some leaning away from only the absolute largest names, but nothing extreme. Missing pieces: no clear lean into value, quality, or low volatility — so you’re chasing what’s hot without much built-in safety net. Gas pedal, minimal seatbelt.
Risk contribution is the “who’s actually causing the mood swings” metric, and here it’s brutally simple: North America ETF ~41%, Europe ETF ~39%, EM ETF ~20%. The risk-to-weight ratios all sit around 1, so nothing is secretly blowing up the volatility behind your back. Each position is pretty much pulling risk in line with its size. That’s surprisingly tidy and about as boring as risk structures get. The flip side: any change in these weights will directly change your ride quality — no hidden diversifiers bailing you out. Takeaway: if someday you want less drama, you’ll need to touch the sliders, not pray.
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.
On the risk–return chart, your portfolio sits on the efficient frontier, which is the nerdy term for “best possible deal between risk and return given these ingredients.” You’re not at the optimal point, though: there’s a higher Sharpe ratio combo (0.74 vs your 0.57) with slightly more risk but noticeably more expected return. Minimum variance is barely less risky than what you have now, so you’ve basically chosen “middle child” between calm and spicy. The comedic part: you could improve the trade-off just by reweighting these same three ETFs, no new toys needed. You’re efficient, just not trying your hardest.
Costs are almost suspiciously low. A total TER around 0.10% is basically the financial equivalent of shoplifting the index — you’re paying just enough to keep the lights on. For what you’re getting (global diversification, big liquid products), you’re not lighting money on fire for branding or ego. There’s really nothing to roast here besides the fact that, with so little fee drag, you can’t even blame costs if performance lags. Takeaway: fees are one of the few things investors can actually control, and here they’re nailed — either on purpose or by very lucky ETF clicking.
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