This portfolio is a 100% equity mix built entirely from broad, low-cost ETFs with a global focus. Around half sits in two all‑world index funds, which act as a diversified core. On top of that, there are meaningful allocations to a global equity ETF, a NASDAQ 100 tracker, a momentum fund, and small tilts to global small-cap value and emerging markets. This structure blends a simple market-cap core with targeted “satellite” positions that lean into specific styles. Because everything is in stocks, there is full exposure to equity ups and downs. The short 1.6‑year history means today’s composition describes a strategy rather than a proven long-term pattern.
Over roughly 1.6 years, €1,000 grew to about €1,240, implying a compound annual growth rate (CAGR) of 14.4%. CAGR is the “average speed” of growth per year, smoothing out bumps. Over this short window, the portfolio outpaced both the US market and a global market benchmark, while having a similar maximum drawdown of about -22%. That drawdown took two months to fall and six months to recover, which is typical for an all‑equity portfolio. Only seven days made up 90% of returns, showing performance was driven by a small number of strong days. With such limited history, these results are encouraging but not yet a reliable guide to long-term behavior.
The Monte Carlo simulation projects thousands of possible 15‑year paths based on the recent risk and return profile. It treats the last 1.6 years as raw material, then shuffles and recombines those patterns to see a range of outcomes. The median path turns €1,000 into about €2,821, with a wide “likely” band between roughly €1,846 and €4,310. An 8.14% average simulated annual return reflects historical volatility and return, not a promise. Because the input data is so short and this period has been relatively strong, these projections are less reliable than usual. They’re best read as a rough illustration of uncertainty rather than a forecast.
Asset-class exposure is simple: 100% stocks and 0% bonds, cash, or alternatives. That clarity makes it easy to understand what drives the portfolio: corporate earnings, global economic growth, and equity market sentiment. Compared with many “balanced” mixes that blend stocks and bonds, this is more growth‑oriented and will typically move more in both directions. The absence of bonds means there is no built‑in cushion from traditional safe-haven assets during equity sell‑offs. Over long periods, equities have historically offered higher returns than bonds, but also deeper and more frequent drawdowns. With only 1.6 years of data, the full range of possible equity-only swings hasn’t yet shown up in the numbers.
Sector exposure leans heavily toward technology at 31%, with financials, industrials, and consumer discretionary making up much of the rest. This tech‑heavy tilt is common in global equity portfolios today, since many large global index constituents are in technology and related areas. Compared with a very broad global benchmark, 31% is on the higher side, which can amplify sensitivity to things like interest rates, innovation cycles, and regulatory news. Smaller allocations to defensive areas such as utilities and consumer staples mean less natural smoothing from “steadier” sectors. The strong recent tech performance likely contributed to the portfolio’s outperformance, but with only 1.6 years of history, that benefit could be very timing‑specific.
Geographically, about 68% of the portfolio is in North America, with the rest spread across developed Europe, Japan, developed Asia, and smaller allocations to emerging regions. This North America weight is broadly consistent with global market-cap indices, which are also heavily US‑tilted. That alignment with common benchmarks is helpful because it means exposure is roughly proportional to the size of each regional market, supporting diversification. At the same time, it concentrates economic and currency risk in one major region. Emerging markets sit at around 4%, noticeably below their share of global market value, which softens volatility from those markets but also limits potential diversification benefits they can sometimes provide.
Market-cap exposure is anchored in mega and large caps, which together make up about 73% of the portfolio. Mid caps contribute 18%, while small and micro caps together account for about 9%. Large global companies often bring more stable earnings, stronger balance sheets, and better liquidity, which can translate into smoother price moves than very small firms. The modest small and micro‑cap slice adds some higher‑risk, higher‑potential-return exposure without dominating behavior. This structure broadly mirrors many world equity indices, though with a slightly more pronounced small‑cap presence due to the dedicated small-cap value allocation. Over just 1.6 years, the typical long‑term small‑cap cycles haven’t really had time to play out.
The look‑through view shows that a handful of mega‑cap names — NVIDIA, Apple, Microsoft, Amazon, Alphabet, and others — appear across multiple ETFs. Combined, just the top ten underlying holdings account for a noticeable slice of the portfolio, with NVIDIA alone around 3.8% and Apple about 3.4%. Because coverage only includes ETF top‑10 lists, actual overlap is likely higher. This kind of repeated exposure is common in global index‑based portfolios, as the same giants appear in many indices. It does, however, create hidden concentration: the portfolio may be more tied to the fortunes of a few large companies than the fund list suggests. With such limited history, the impact of that concentration has mostly been positive so far.
Risk contribution shows how much each ETF drives overall ups and downs, which can differ from its weight. The two all‑world funds and the Avantis global equity ETF together are 72% of the portfolio and contribute about 68% of total risk, so their risk share closely matches their size. The NASDAQ 100 and momentum ETFs, each 10% by weight, contribute around 12–13% of risk each, meaning they punch above their weight in volatility. This pattern is typical: more concentrated, growth‑heavy funds tend to be more volatile. With a short data window, these risk estimates are based on a limited set of market conditions, so they may understate how much these satellites could drive portfolio swings in a more turbulent period.
Correlation measures how closely assets move together. Here, the two global all‑world ETFs and the Avantis global equity ETF are highly correlated, meaning they tend to rise and fall in near‑lockstep. That isn’t a flaw; they all draw from similar global equity universes. However, it does mean owning more of each doesn’t add as much diversification as the fund count suggests. When correlations are high, especially during market stress, the portfolio can behave more like a single large global equity position than a collection of independent bets. Over just 1.6 years, correlations are estimated from a small sample, and real‑world crises can push correlations even higher than history implies.
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 chart shows the current mix sitting below the efficient frontier. The efficient frontier is the curve of best possible returns for each risk level using only the existing holdings but with different weights. The current portfolio Sharpe ratio — a measure of return per unit of risk, after adjusting for a 4% risk‑free rate — is 0.69, compared with 1.22 for the optimal mix and 0.90 for the minimum‑variance blend. Being about 4 percentage points below the frontier at the same risk level suggests that, historically, a different weighting of these same ETFs could have delivered better risk‑adjusted returns. Because this analysis relies on just 1.6 years of data, the “optimal” mix is quite sensitive to recent conditions and shouldn’t be viewed as a stable long‑term target.
The portfolio’s weighted ongoing cost (TER) is about 0.18% per year, which is impressively low for a globally diversified, factor‑tilted equity mix. TER is the annual fee charged by each ETF, taken inside the fund rather than as a separate bill. Keeping this number low helps more of the portfolio’s gross return show up in net results, and the benefit compounds over time. Here, the lowest‑cost building blocks are the broad all‑world ETFs, while more specialized funds like small‑cap value and emerging markets carry slightly higher TERs but still remain moderate. Over only 1.6 years, fees have had limited time to compound, but over decades this low‑cost structure is a strong foundation.
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