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.
Cautious Investors
This setup suits someone who calls themselves cautious but secretly loves riding the stock market rollercoaster. They want global exposure, can tolerate seeing their account swing around, and probably have a long time horizon where a 30–40% crash would sting but not trigger panic selling. Goals are likely long-term growth rather than income, with a “set it and ignore most of the noise” mindset. They’re comfortable with mainstream, boring building blocks, not obsessed with fancy strategies, and they’d rather be roughly right and cheap than precisely fancy and expensive.
This “cautious” portfolio is 100% global equities split across… three broad global equity ETFs. That’s not asset allocation, that’s the same meal served on three plates. You’ve basically got one all-world fund, then another “world ex USA” slapped on top, plus a Europe slice for good measure, which mostly just reshuffles the same companies in slightly different proportions. For a supposed low-risk profile, it’s fully parked in the riskiest mainstream asset class. Takeaway: if the goal is simplicity, one core global fund would already do 80–90% of this job; if the goal is nuance, this mix isn’t really delivering it.
Performance over this short window actually looks annoyingly decent: €1,000 grew to €1,221, with a 10.24% CAGR. That’s slightly ahead of both the US market and global market benchmarks, which is like beating the class average by half a point and calling yourself a genius. Max drawdown at -18.43% is no joke for a “cautious” label, even if it’s still less ugly than the benchmarks. Remember, CAGR (compound annual growth rate) over just two years is basically a mood swing, not a destiny. Takeaway: the returns don’t justify patting yourself on the back, but they do show the portfolio is at least competent, not chaotic.
The Monte Carlo projection says future outcomes range from “nice” to “please no” with a side of “meh.” Monte Carlo just runs thousands of random return paths based on historical behavior — like simulating a ton of alternate timelines. Median outcome of €2,775 from €1,000 over 15 years (8.11% annualized) is solid, but the pessimistic 5th percentile ends at basically €995, which is “15 years of going nowhere.” Past data is yesterday’s weather: useful, not magical. Takeaway: this setup has good upside odds, but anyone genuinely cautious should notice that the bad scenarios are very much still on the table.
Asset classes: 100% stocks. For a “cautious investor” profile, that’s almost comedic. No bonds, no cash buffer, no diversifiers — just raw equity beta dressed up as something sensible. Calling this cautious is like calling a rollercoaster “gently undulating transport infrastructure.” Stocks are great for long-term growth, but they’re also the asset class that happily drops 30–50% when the world has a panic attack. Takeaway: this is an “I want growth and I can handle pain” allocation wearing a “low-risk” name tag it found on the floor.
Sector mix looks like a generic broad-market salad: financials 21%, tech 18%, industrials 15%, everything else sprinkled on. Nothing insane, but financials being the top slice means you’re quietly tied to credit cycles, regulation tantrums, and interest rate plot twists. Tech’s 18% says you’re still very much along for the growth-story ride, even if not fully addicted. This is not some high-conviction sector view; it’s mostly whatever the market index decided, with a slight lean toward the boring grown-up parts of the economy. Takeaway: sector risk here is standard-issue market risk, not artisanally curated — which is fine, just not special.
Geographically, this is “Europe first, rest of the world also invited.” Europe developed at 44% is a clear home bias, then 35% North America with the usual suspects, and the remaining bits sprinkled across Japan, other Asia, and tiny slices of emerging markets. So yes, there is global spread, but it’s heavily tilted toward Europe for a world where economic growth and innovation aren’t exactly centered there. It’s like insisting your hometown band is better than the global charts. Takeaway: fine for someone who wants comfort in familiarity, but not exactly a neutral view of the world’s opportunity set.
Market cap exposure is extremely “index brochure”: 50% mega-cap, 35% large-cap, 14% mid-cap, and small caps basically missing in action. You’ve gone all-in on the giants, which makes the portfolio stable-ish but very dependent on how a few global behemoths behave. It’s like backing only the biggest corporations on Earth and pretending that’s edgy diversification. This keeps volatility more in check than a small-cap heavy setup, but it also means your fate is tied to the same names everyone else owns. Takeaway: low originality, high crowding — not wrong, just utterly conventional.
Look-through holdings scream “closet indexer with a tech crush.” NVIDIA, Apple, Microsoft, Amazon, Alphabet, ASML — it’s the usual mega-cap celebrity lineup you get in broad equity ETFs. There’s overlap all over the place; you’re basically holding the same big names through multiple wrappers, which means your “three ETF” portfolio is less diversified than it pretends. And since we only see top-10 holdings, real overlap is almost certainly higher. This is the IKEA flatpack version of diversification: looks impressive on the box, but it’s still just one bookcase in different colors. Takeaway: be aware that multiple broad funds often just double down on the same giants.
Risk contribution is refreshingly boring: the 50% Vanguard All-World fund contributes about 52% of the risk; the 30% and 20% funds each pull roughly their weight. Risk/weight ratios hovering around 1 mean nothing is secretly acting like a lunatic under the hood. Also, your entire risk is just those three funds — no sleeper position doing chaotic gymnastics. That’s good, but also means your attempt at slicing between funds didn’t change much in how risk behaves. Takeaway: you could change the proportions a bit, but right now everything is pretty much doing exactly what its weight says.
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.
Sharpe ratios in this chart use the active CMA risk-free rate of 4.00% annualized.
Click on the colored dots to explore allocations.
On the risk–return chart, this portfolio sits right on or near the efficient frontier, which is mildly annoying because it means the math says you’re not being dumb with your mix. The Sharpe ratio (return per unit of risk) is 0.52, while the max Sharpe setup would hit 0.77 with almost the same risk. In human terms: your ingredients are fine, and just reshuffling them a bit could squeeze out more return for the same nerves. Still, you’re not below the curve in clown territory. Takeaway: structurally sound, but a little optimization could upgrade you from “fine” to “pretty slick.”
Costs are almost suspiciously low. A total TER of 0.11% is basically the bargain bin of global investing — you’re paying nearly nothing to own pretty much the entire stock market. That’s cheaper than many people’s bank account fees. The only roast here is that you’re paying three providers to deliver what one could have done: a global equity index. But hey, at least you didn’t wander into 0.6% “smart” products for the same exposure. Takeaway: fees are a non-issue; you actually nailed this part, whether by skill or happy accident.
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