This portfolio has only about 1.7 years of historical data, based on the youngest asset in the portfolio. Some metrics, projections, and AI insights may be less reliable and should be interpreted with caution.
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Global equity core with small cap value tilt and efficient risk balance over a short history

Report created on Jun 7, 2026

Risk profile Info

4/7
Balanced
Less risk More risk

Diversification profile Info

3/5
Moderately Diversified
Less diversification More diversification

Positions

This portfolio is made up of just two equity ETFs, with about 85% in a broad global stock fund and 15% in a global small‑cap value fund. So structurally it is very simple, yet fully invested in stocks. The large core holding behaves a bit like a “one‑stop” global market exposure, while the smaller satellite adds a distinct style tilt. This kind of core‑satellite setup matters because it shows where returns and behaviour mostly come from: the bulk from the broad global market, with a noticeable but limited twist from small cheap companies. With only 1.7 years of data, though, it is too early to treat this pattern as a long‑term rule.

Growth Info

Over the roughly 1.7‑year window, €1,000 grew to about €1,302, implying a compound annual growth rate (CAGR) of 17.03%. CAGR is the “average speed” of growth per year, smoothing out ups and downs like an average speed on a road trip. The portfolio slightly outpaced both the US market and a global equity benchmark over this short span. Its maximum drawdown, a worst‑peak‑to‑trough fall, was about ‑21.5%, similar to global stocks. Just nine trading days created 90% of total returns, underlining how lumpy equity gains can be. Because the period is short and specific, these strong numbers are more a snapshot than a dependable long‑term pattern.

Projection Info

The forward projection uses a Monte Carlo simulation, which basically means the system takes the limited historical data, shuffles and re‑samples it many times, and builds 1,000 possible 15‑year paths. From this, the median outcome turns €1,000 into about €2,788, with a very wide range around it. The average simulated annual return is 8.30%, but that is just a statistical output, not a promise. With only 1.7 years of past data feeding the model, the simulation is especially fragile: it can’t “see” different market regimes, crashes, or long flat periods that didn’t occur in this window. So these ranges are best read as a rough illustration of uncertainty, not a forecast.

Asset classes Info

  • Stocks
    100%

All assets here are in stocks, with 0% in bonds, cash, or alternatives. That makes the asset‑class picture very straightforward: the portfolio is fully exposed to equity market risk and fully participates in stock‑market volatility, both up and down. In classic diversified mixes, bonds or cash often act as stabilisers; here, there is no such buffer. The upside is simplicity and clear participation in global economic growth through company ownership. The trade‑off is that short‑term swings can be meaningful, as seen in the ~‑21% drawdown. With only a short lookback, it’s also hard to judge how this all‑equity stance might behave across different types of longer market cycles.

Sectors Info

  • Technology
    30%
  • Financials
    16%
  • Industrials
    11%
  • Consumer Discretionary
    10%
  • Telecommunications
    8%
  • Health Care
    7%
  • Energy
    5%
  • Consumer Staples
    5%
  • Basic Materials
    4%
  • Utilities
    2%
  • Real Estate
    1%

Sector exposure is dominated by technology at around 30%, followed by financials, industrials, and consumer‑related areas. This is broadly in line with many global stock indices, where tech and related businesses have grown large. Sector diversification matters because different parts of the economy can move differently when interest rates change, growth slows, or inflation spikes. A higher tech weight often means more sensitivity to growth expectations and interest‑rate news, sometimes leading to sharper price swings. Here, the spread across financials, industrials, health care, and others provides balance, but the tech tilt still stands out. With only 1.7 years of data, it’s hard to see a full cycle of how these sectors interact over time.

Regions Info

  • North America
    66%
  • Europe Developed
    13%
  • Asia Developed
    6%
  • Japan
    6%
  • Asia Emerging
    4%
  • Australasia
    2%
  • Africa/Middle East
    1%
  • Latin America
    1%

Geographically, about two‑thirds of the portfolio is in North America, with the rest spread across Europe, developed Asia (including Japan), and emerging regions. This pattern is quite close to global market‑cap benchmarks, which are also heavily weighted to North America. Geographic mix matters because local economies, currencies, and regulations can drive returns differently. A strong alignment with global weights usually means benefiting from the largest and most liquid markets, while still having some exposure to diverse regions. At the same time, results will be heavily influenced by what happens in North American markets. Since the analysis period is short, the apparent benefit of this tilt mainly reflects recent conditions, not a proven structural advantage.

Market capitalization Info

  • Mega-cap
    43%
  • Large-cap
    29%
  • Mid-cap
    15%
  • Small-cap
    7%
  • Micro-cap
    5%

By market capitalisation, the portfolio leans strongly toward mega‑ and large‑cap companies, which together make up over 70% of exposure. There is still meaningful participation in mid‑, small‑, and even micro‑caps, partly thanks to the dedicated small‑cap value ETF. Market‑cap mix matters because large companies often have more stable earnings and easier access to financing, while smaller firms can be more volatile but sometimes offer stronger growth or value opportunities. This structure means most behaviour will resemble a broad large‑cap global index, with an extra layer of smaller, more idiosyncratic names around the edges. With only 1.7 years of history, any apparent benefit from that small‑cap slice is more anecdotal than conclusive.

True holdings Info

  • NVIDIA Corporation
    4.07%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
  • Apple Inc
    3.41%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
  • Microsoft Corporation
    2.62%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
  • Amazon.com Inc
    2.21%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
  • Alphabet Inc Class A
    1.96%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
  • Broadcom Inc
    1.70%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
  • Alphabet Inc Class C
    1.68%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
  • Taiwan Semiconductor Manufacturing Co. Ltd.
    1.41%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
  • Meta Platforms Inc.
    1.16%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
  • Tesla Inc
    0.97%
    Part of fund(s):
    • Amundi Prime All Country World UCITS ETF Acc EUR
    • LS 1x Tesla Tracker ETP Securities GBP
  • Top 10 total 21.18%

Looking through to the top underlying holdings, the largest exposures are well‑known global giants like NVIDIA, Apple, Microsoft, Amazon, Alphabet, and others. None of these appear as direct single‑stock positions; they show up through the ETFs. The combined weight of these top names is noticeable but not overwhelming. Because only the top‑10 ETF holdings are used, overlap between funds is definitely understated. Still, it’s clear that a modest share of the portfolio is concentrated in a handful of mega‑cap leaders that also dominate many world indices. That means portfolio behaviour will partly track how these big names do, though most risk is still spread across thousands of smaller positions beyond the top‑10 snapshot.

Risk contribution Info

  • Amundi Prime All Country World UCITS ETF Acc EUR
    Weight: 85.00%
    84.5%
  • Avantis Global Small Cap Value UCITS ETF USD Acc EUR
    Weight: 15.00%
    15.5%

Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ from simple weight. Here, the broad global ETF is 85% of the assets and contributes about 84.5% of total risk, so its risk impact is almost exactly in line with its size. The small‑cap value ETF is 15% of assets and around 15.5% of risk, only slightly more “punchy” than its weight suggests. This fairly proportional pattern indicates there are no hidden risk hotspots beyond what the allocations already show. Even so, because both holdings are pure equities, all portfolio risk ultimately traces back to stock markets. The short history means these risk shares could look different in a more stressed or unusual environment.

Risk vs. return

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.

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The efficient frontier chart compares risk (volatility) and return for different mixes of the same holdings. The current portfolio sits on or very close to this frontier, with a Sharpe ratio of 0.87, while the mathematically “optimal” mix of the same two ETFs reaches a higher Sharpe mainly by tweaking weights. A Sharpe ratio measures risk‑adjusted returns — how much excess return you get per unit of risk taken. Being on or near the frontier suggests that, given these particular funds and the short observed period, the risk/return trade‑off is already efficient. It’s important to remember this optimisation is based purely on the last 1.7 years of data, so it might look different with a longer track record or in other market environments.

Ongoing product costs Info

  • Avantis Global Small Cap Value UCITS ETF USD Acc EUR 0.39%
  • Weighted costs total (per year) 0.06%

Costs here are low overall. The total TER (ongoing fee) of around 0.06% reflects the dominance of the very cheap core ETF, while the small‑cap value ETF charges 0.39% on its 15% slice. TER is the annual percentage taken by the fund manager to run the ETF, quietly deducted from returns rather than billed separately. Low costs matter because they are one of the few things investors can reliably control, and they compound over time just like returns do. This portfolio’s fee level is impressively low for such broad global coverage plus a specialised tilt, which creates a solid structural advantage if held over many years. The short 1.7‑year history doesn’t change this cost benefit.

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