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 suits someone who claims to be “balanced” but deep down is a long-term growth maximalist. Comfortable with swings, but not interested in stock-picking drama, they’d rather outsource everything to global markets and get on with their life. They’re probably patient, mildly nerdy, and allergic to overcomplicated products. Goals are likely long-horizon: retirement, financial independence, or just serious wealth-building over decades. Time horizon: at least 10–15 years, ideally more. Risk tolerance: okay with big drawdowns as long as the long-term math makes sense and they aren’t forced to sell at the worst moment. In short, a hands-off optimizer who trusts capitalism more than their own stock-picking skills.
This “portfolio” is basically one global index ETF with a small emerging-markets side quest stapled on. You’re at 90% in a single broad fund and 10% in another broad fund that overlaps it. That’s not diversification; that’s wearing two versions of the same outfit and calling it a wardrobe. The structure screams: “I like diversification, but only in the laziest possible way.” The upside is that it’s extremely clear and mechanically simple. The downside is you’ve outsourced almost every decision to two index committees. The general takeaway: this is efficient, but it’s also personality-free and completely dependent on global markets behaving themselves.
Historically, the portfolio turned €1,000 into €1,947, which is perfectly respectable, but then the US market benchmark shows up with €1,176 from 2019 and basically laps you with a 19.7% CAGR. Your 11.24% CAGR slightly beats the global market’s 10.77%, though, so you’ve at least kept up with “the world.” Max drawdown around -33% is stock‑market‑normal pain, not apocalypse. The 21 days that generated 90% of returns highlight how missing a few good days would have hurt. Past data is like yesterday’s weather: useful but not psychic. Overall message: you got near-market returns with full market-level gut-punch drawdowns, which is exactly what this design signs you up for.
The Monte Carlo simulation — think financial weather forecast run 1,000 times — says your future is “probably fine but not guaranteed pretty.” Median 10‑year gain of about 232% is strong, but the 5th percentile at just 10.6% total growth over a decade is a reminder that bad sequences happen. Annualized 10.3% across simulations is solid, yet it’s based on historical behavior, which markets are under no obligation to repeat. Past patterns are helpful, but they aren’t a contract. The message: this portfolio is built for long-term compounding with a high chance of success, but it absolutely can deliver long stretches of disappointment before the math starts looking good again.
Asset classes: 100% stocks, 0% everything else. No bonds, no cash buffer, no real assets — just vibes and volatility. For someone labeled “Balanced profile,” this is… not balanced. It’s an all‑equity engine bolted onto a “medium risk” label and hoping no one looks under the hood. Full equity can be great for long horizons, but it also means no built-in shock absorbers when markets dive. If this were a car, it would be a fast hatchback with no traction control: fun on a dry road, sketchy in a storm. Takeaway: this setup suits a long runway and a strong stomach more than a truly balanced mindset.
Sector split is the classic global index diet with a tech supersize: ~27% tech, then financials, industrials, cyclicals trailing behind. Tech isn’t everything, but your portfolio kind of acts like it is. “Tech addiction detected” might be harsh, but it’s not wrong. A lot of the glam is bundled inside those megacaps, so you’re tying your fate to innovation darlings and market darlings being the same thing. If that sector has a multi‑year hangover, the rest of the portfolio won’t fully bail you out. General takeaway: sector exposure here mirrors the world, which is fine, but don’t kid yourself that this is neutral — you’re very much riding the tech-and-growth train.
Geography says “America runs my life”: 58% North America, with Europe, Asia, Japan, and others trailing far behind. This is basically a global portfolio that still clearly worships the US. To be fair, that’s how broad world indexes are built — by market size, not fairness — but it does mean your fate is welded to US corporate performance and policy. If the US underperforms for a decade, the rest of the world in your portfolio is too small to fully rescue returns. Ironically, your dedicated EM ETF nudge still doesn’t move the global needle much. Takeaway: it’s globally diversified on paper, but practically it’s US‑centric with foreign side dishes.
Market cap tilt: 49% mega, 34% big, 16% medium, and basically zero interest in true small caps. You’re not just in the stock market; you’re in the “corporate oligarchy” layer of it. This is the safe, crowd-pleasing choice: giant, liquid, heavily analyzed companies where surprises still happen but not as violently as in tiny stocks. The flip side is you’re not exactly fishing in the pond where undiscovered bargains live. This is more cruise ship than speedboat. Takeaway: you’ve traded the chance of small‑cap rockets for a stable ride dominated by global giants — sensible, but not exactly swashbuckling.
Look-through holdings reveal the usual tech megacap cult: NVIDIA, Apple, Microsoft, Amazon, Alphabet, Meta, Tesla — the whole Greatest Hits playlist. None of this is held directly; it’s all sneaking in through your ETFs, which means you’ve basically said, “Just give me whatever the world currently worships.” Overlap is likely higher than shown because we only see top-10s, so there’s hidden concentration in the same giants twice. It’s like ordering two combo meals and pretending that’s variety. The takeaway: you are more dependent on a tiny group of enormous companies than the tidy ETF tickers suggest, so when these giants sneeze, your portfolio catches a cold.
Factor exposure screams “momentum chaser with a soft spot for size.” Momentum at 51.5% means you’re piling into whatever’s been winning recently — like always sitting at the most crowded bar. Size factor at 20% further cements the big‑stock bias. Factor exposure is basically the ingredient list behind performance, and your recipe is “recent winners plus big names,” with not much explicit focus on value, quality, low volatility, or yield. Leaning hard into momentum while ignoring quality is like flooring the gas with no mention of brakes. The message: this portfolio should shine in strong uptrends but may sulk hard when the market turns and leadership rotates to more boring, unloved stuff.
Risk contribution is hilariously simple: the Vanguard ETF is 90% of weight and contributes 90.1% of risk; the Amundi EM ETF is 10% of weight and 9.9% of risk. Risk contribution shows who’s actually making your portfolio move, and here it’s basically: one big index and a small sidekick, nothing else. No stealth high‑risk position, no tiny grenade hidden in the corner — just two broad engines. This is very clean but also extremely binary: if global equities do well, you’re a genius; if they tank, you eat all of it. General takeaway: trimming or tweaking is limited because you’ve deliberately gone “all in” on one dominant risk driver.
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 curve of “best possible tradeoffs” using your existing ingredients. You’re not at the optimal Sharpe ratio, but you are efficient: expected return 11.25% with risk 16.19% versus an optimal mix at 11.61% and Sharpe 0.65. The minimum variance option barely reduces risk and keeps a similar return. Translation: given only these two ETFs, you’re already basically using them sensibly, even if a slight tilt could squeeze out marginally better risk‑adjusted results. No clown show here, just a plain vanilla index setup that math says is pretty well arranged, whether by design or happy accident.
Costs are almost offensively low: a blended TER around 0.19%. That’s “did they forget to charge you?” territory. You’ve basically minimized the management-fee vampire to a tiny nibble each year. In cost terms, this is one of the few areas where doing almost nothing is exactly the right move. Of course, low fees don’t fix bad structure, but they do ensure you’re not slowly bled dry while markets do their thing. The dry truth: you’d have to try pretty hard to materially improve this cost profile without doing something weird or illiquid. Fees are under control — you clearly clicked the right ETFs.
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