This portfolio is built entirely from four equity ETFs, with 70% in a global all‑world fund and three 10% satellite positions. The core ETF acts as a diversified backbone, while the smaller allocations tilt the mix toward one country, one region, and one industry theme. Structurally, this is a classic “core and satellites” setup: one broad, diversified holding surrounded by more focused positions that shape the overall flavour. This matters because most of the behaviour will follow global equity markets, while the satellites can make performance more distinctive. The mix is broadly diversified by design, and the risk score of 4/7 lines up with a fully equity portfolio that is not extremely concentrated in a single position.
From late 2020 to May 2026, €1,000 invested in this portfolio grew to about €2,438, which is a compound annual growth rate (CAGR) of 17.67%. CAGR is like the average yearly “speed” over the full trip, smoothing out bumps along the way. Compared with the US market and a global market benchmark, this portfolio delivered higher returns with a slightly smaller max drawdown than the US market and close to the global one. The worst peak‑to‑trough drop was about -20.7%, taking two months to fall and four months to recover. This combination of strong returns and drawdowns in line with broad markets suggests historically attractive risk‑adjusted performance, but it still experienced meaningful short‑term declines.
The forward projection uses a Monte Carlo simulation, which runs 1,000 different “what if” paths based on past patterns of returns and volatility. Think of it as rolling the dice many times to see a range of possible futures, not a single forecast. After 15 years, the median outcome for €1,000 is about €2,737, with a wide “likely” band between roughly €1,804 and €4,243. The annualised return across all simulations is about 7.99%, much lower than the recent historical figure, reflecting more conservative assumptions. Importantly, 84.5% of the simulations end positive, but some show losses, underlining that uncertainty remains and past data cannot guarantee future results.
All of the portfolio is in stocks, with no bonds or cash‑like assets in the mix. That means the main driver of returns and risk is the global equity market, rather than interest rates or credit spreads. An equity‑only allocation often experiences larger swings in value than a blended stock‑and‑bond mix, particularly during sharp market downturns, but it also fully participates in equity market recoveries. Because the 70% global ETF already holds thousands of companies, diversification comes from spreading across many businesses instead of mixing in different asset classes. The overall structure aligns with a growth‑oriented equity portfolio where diversification is achieved within stocks rather than between stocks and other asset types.
Sector‑wise, the portfolio has notable exposure to technology at 31%, well above what many broad global indices typically show, and a meaningful 18% in financials. Other sectors such as industrials, consumer discretionary, health care, telecoms, energy, staples, utilities, materials, and real estate are present in single‑digit shares. A high tech weight often goes hand in hand with higher sensitivity to innovation cycles and interest rate changes, while financials can be more tied to economic growth and monetary policy. This composition means returns may be more affected by developments in growth‑oriented industries than in defensive areas, though the presence of several non‑cyclical sectors still provides some balance across different parts of the economy.
Geographically, about 54% of the portfolio is in North America, 20% in developed Europe, and 14% in Japan, with the rest spread across other developed and emerging regions. This is reasonably close to many global equity benchmarks where North America is also the largest share, though this portfolio has a clearly higher allocation to Japan due to the dedicated ETF. The presence of multiple regions helps spread economic and political risk across different countries and currencies. At the same time, the tilt toward a specific European market and Japan means local developments there can influence returns more than in a purely market‑cap‑weighted world index, adding some regional flavour on top of a broadly global base.
By market capitalisation, the portfolio tilts strongly toward larger companies: 47% in mega‑caps, 37% in large‑caps, and 15% in mid‑caps, with very little in smaller firms. Larger companies tend to be more established, with deeper liquidity and often more diversified business lines, which can sometimes translate into more stable earnings than small caps. However, they may also grow more slowly than smaller, more nimble firms. This size profile is very much in line with what broad global indices look like, so from a market‑cap perspective the portfolio is well‑aligned with global standards. It suggests that most risk and return are driven by big, globally significant companies rather than smaller niche players.
Looking through the ETFs into their top holdings, several well‑known global firms appear multiple times, such as NVIDIA, Apple, Microsoft, Alphabet, and Amazon. NVIDIA is the single largest look‑through exposure at about 4.13%, with other big names each around 1–3%. Italian financials like UniCredit and Intesa Sanpaolo also show up prominently. Because overlap is calculated only from ETF top‑10 lists, the true duplication is likely higher. When the same company appears in several funds, changes in that stock can move the whole portfolio more than any single ETF weight might suggest. This hidden concentration is an important nuance within an otherwise diversified global structure.
Risk contribution shows how much each holding adds to the portfolio’s overall ups and downs, which can differ from its simple weight. Here, the 70% global all‑world ETF contributes about 64.5% of total risk, slightly less than its weight, which is typical for a broad, diversified fund. The 10% semiconductor ETF contributes 18% of risk, meaning it drives almost twice as much volatility as its weight implies, reflecting the higher sensitivity of that industry. The Italy and Japan ETFs contribute risk roughly in line with their weights. Overall, the top three positions account for about 92% of total portfolio risk, showing that while there are four funds, most volatility is concentrated in a small number of core exposures.
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 compares the current mix to an “efficient frontier,” which shows the best achievable return for each risk level using just these holdings. The current portfolio has a Sharpe ratio of 0.98, while the optimal mix using the same funds reaches 1.3, and the minimum‑variance mix reaches 1.03. The Sharpe ratio measures return per unit of risk, after adjusting for a risk‑free rate, so higher is better. Being about 1.75 percentage points below the frontier at the current risk level means, in theory, a different weighting of these same four ETFs could offer either higher expected returns for similar volatility or similar returns with lower volatility, without adding any new products.
The portfolio’s total ongoing fee (TER) is about 0.21%, with individual ETF costs ranging from 0.12% to 0.35%. TER, or Total Expense Ratio, is the annual percentage charged by a fund to cover management and running costs, automatically deducted from performance. These levels are low compared with many actively managed funds and in line with competitive index ETFs. Over long periods, keeping costs low can make a noticeable difference because fees compound just like returns. Here, the cost structure is a clear strength: it supports more of the gross market return flowing through to the investor rather than being eaten up by expenses.
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