This portfolio has only about 9 months 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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Broad socially responsible core with a bold tilt toward emerging themes and regional diversification

Report created on Jun 5, 2026

Risk profile Info

4/7
Balanced
Less risk More risk

Diversification profile Info

4/5
Broadly Diversified
Less diversification More diversification

Positions

This portfolio combines a broad socially responsible global equity core with several focused satellite positions and a cash-like ETF. Almost half of the weight sits in a global ESG equity fund, while three regional and thematic equity ETFs together make up around 40%. The remaining 13% is in an overnight-rate swap ETF that behaves more like cash or a money market position than stocks. Structurally, this looks like a “core and tilts” setup: one diversified anchor plus higher-conviction add-ons. That design lets the portfolio participate in global equity markets while also expressing specific views in certain themes and regions. All of this is based on roughly nine months of data, so it shows structure well but not long-term behaviour.

Growth Info

Over the short analysis window, €1,000 grew to about €1,354, which is a strong gain for nine months. The portfolio’s compound annual growth rate (CAGR) of 49.47% far exceeds both the US and global benchmarks over the same period. CAGR is like calculating your average speed on a road trip, smoothing out the ups and downs day to day. Max drawdown, the worst peak-to-trough drop, was modest at -7.63%, close to the benchmarks. Only 13 days made up 90% of returns, showing performance was driven by a handful of very strong days. Because the history is so short and likely influenced by specific themes doing well, these numbers shouldn’t be treated as showing any stable, long-term pattern.

Projection Info

The Monte Carlo projection uses many random simulations, based on recent returns and volatility, to estimate a range of possible 15‑year outcomes. Think of it as running 1,000 different “what if” market paths and seeing where a €1,000 investment might land. The median simulated outcome of around €2,561 implies an average annualized return of 7.62%, with a wide possible range between about €1,072 and €6,870. This shows that even with the same starting portfolio, results can vary a lot depending on markets. Because the model is fed only nine months of history, which includes very strong returns from certain themes, its assumptions are fragile. These projections are more of an educational illustration than a reliable long-term forecast.

Asset classes Info

  • Stocks
    87%
  • Other
    13%

Asset class-wise, about 87% of the portfolio is in stocks and 13% in “other,” which here is essentially the EUR overnight rate ETF. This means the portfolio is primarily exposed to equity market movements, with a small stabilising slice linked to short-term interest rates. Equities are the main growth driver in most long-term portfolios, but they also bring more volatility than cash-like assets. Compared with many broad market indices, this mix sits in a moderate-to-higher equity range, consistent with a “balanced” risk classification that still leans strongly toward stocks. The presence of a dedicated cash-like ETF helps moderate risk slightly and offers dry powder, but the overall behaviour will still mostly track global equity conditions rather than short-term rates.

Sectors Info

  • Technology
    40%
  • Financials
    12%
  • Industrials
    10%
  • Consumer Discretionary
    8%
  • Telecommunications
    5%
  • Health Care
    5%
  • Consumer Staples
    3%
  • Basic Materials
    3%
  • Real Estate
    1%
  • Utilities
    1%
  • Energy
    1%

This breakdown covers the equity portion of your portfolio only.

Sector exposure is clearly tilted toward technology at around 40%, with financials, industrials, and consumer discretionary making up much of the rest. In many global benchmarks, technology is a large sector but usually not this dominant, so this portfolio has an extra dose of tech relative to a typical world index. Tech-heavy allocations often benefit during periods of innovation enthusiasm, falling interest rates, or strong growth expectations, but they can feel sharper swings when sentiment turns or rates rise. Thematically focused exposure, such as quantum computing, adds another layer of sector concentration within the broader tech bucket. Over only nine months of history, this tilt has likely helped performance, but that short window does not show how it might behave across a full market cycle.

Regions Info

  • North America
    42%
  • Japan
    17%
  • Asia Developed
    12%
  • Europe Developed
    8%
  • Asia Emerging
    4%
  • Africa/Middle East
    2%
  • Latin America
    2%

This breakdown covers the equity portion of your portfolio only.

Geographically, the portfolio has a significant North American tilt at about 42%, with meaningful allocations to Japan (17%) and other developed Asia (12%), plus smaller slices across Europe and emerging regions. Compared with a typical global equity index, this mix looks more diversified toward Japan and broader Asia, and somewhat less dominated by North America than many portfolios. Geographic diversification matters because economies, currencies, and policy regimes move differently over time, helping smooth the ride when one region struggles. The inclusion of emerging markets ex‑China adds exposure to faster-growing but typically more volatile countries. With only nine months of data, the risk and return impact of this regional blend is still developing and shouldn’t be over-interpreted as a long-term pattern.

Market capitalization Info

  • Mega-cap
    36%
  • Large-cap
    31%
  • Mid-cap
    14%
  • Small-cap
    3%
  • Micro-cap
    1%

This breakdown covers the equity portion of your portfolio only.

The portfolio tilts strongly toward large companies, with about 36% in mega-cap and 31% in large-cap stocks, plus smaller allocations to mid, small, and micro caps. Market capitalization describes a company’s size on the stock market; larger firms tend to be more established and somewhat less volatile, while smaller ones can be more sensitive to news but sometimes grow faster. This size mix is broadly in line with many global indices that are naturally dominated by large companies. A modest slice in smaller caps adds some diversification and potential for different behaviour in certain market phases. With the limited time period available, it’s hard to judge whether size tilts have helped or hurt so far, but structurally the portfolio is anchored in large, liquid names.

True holdings Info

  • Broadcom Inc
    2.84%
    Part of fund(s):
    • UBS (Irl) ETF plc - MSCI ACWI Socially Responsible UCITS ETF USD A Acc EUR
  • NVIDIA Corporation
    2.82%
    Part of fund(s):
    • UBS (Irl) ETF plc - MSCI ACWI Socially Responsible UCITS ETF USD A Acc EUR
    • WisdomTree Quantum Computing UCITS ETF - USD Acc
  • Taiwan Semiconductor Manufacturing Co. Ltd.
    2.51%
    Part of fund(s):
    • UBS (Irl) ETF plc - MSCI ACWI Socially Responsible UCITS ETF USD A Acc EUR
  • Tesla Inc
    2.10%
    Part of fund(s):
    • LS 1x Tesla Tracker ETP Securities GBP
    • UBS (Irl) ETF plc - MSCI ACWI Socially Responsible UCITS ETF USD A Acc EUR
  • Advanced Micro Devices Inc
    1.60%
    Part of fund(s):
    • UBS (Irl) ETF plc - MSCI ACWI Socially Responsible UCITS ETF USD A Acc EUR
    • WisdomTree Quantum Computing UCITS ETF - USD Acc
  • Intel Corporation
    1.56%
    Part of fund(s):
    • UBS (Irl) ETF plc - MSCI ACWI Socially Responsible UCITS ETF USD A Acc EUR
    • WisdomTree Quantum Computing UCITS ETF - USD Acc
  • ASML Holding N.V.
    1.08%
    Part of fund(s):
    • UBS (Irl) ETF plc - MSCI ACWI Socially Responsible UCITS ETF USD A Acc EUR
  • IONQ Inc
    0.97%
    Part of fund(s):
    • WisdomTree Quantum Computing UCITS ETF - USD Acc
  • Caterpillar Inc
    0.81%
    Part of fund(s):
    • UBS (Irl) ETF plc - MSCI ACWI Socially Responsible UCITS ETF USD A Acc EUR
  • Rigetti Computing Inc
    0.78%
    Part of fund(s):
    • WisdomTree Quantum Computing UCITS ETF - USD Acc
  • Top 10 total 17.08%

This breakdown covers the equity portion of your portfolio only.

Looking through ETF top holdings, a handful of big technology and semiconductor names appear prominently: Broadcom, NVIDIA, TSMC, Tesla, AMD, Intel, and ASML are among the largest visible exposures. Several of these show up via more than one ETF, creating overlap that can increase hidden concentration in specific companies and themes, especially advanced chips and computing. Because this overlap analysis only covers ETF top‑10 positions, the true concentration may be higher or lower, but it clearly points toward a cluster in leading tech hardware and related industries. This helps explain the strong recent performance but also links the portfolio more tightly to the fortunes of these few global leaders than a purely broad-market basket would.

Risk contribution Info

  • UBS (Irl) ETF plc - MSCI ACWI Socially Responsible UCITS ETF USD A Acc EUR
    Weight: 47.00%
    41.8%
  • WisdomTree Quantum Computing UCITS ETF - USD Acc
    Weight: 14.00%
    30.4%
  • Amundi MSCI Emerging Ex China UCITS ETF Acc
    Weight: 13.00%
    15.7%
  • iShares Core MSCI Japan IMI UCITS ETF USD (Acc)
    Weight: 13.00%
    12.2%
  • Xtrackers II EUR Overnight Rate Swap UCITS ETF 1C
    Weight: 13.00%
    0.0%

Risk contribution shows how much each holding adds to the portfolio’s overall ups and downs, which can differ a lot from its weight. Here, the core global SRI ETF is 47% of the portfolio but contributes about 42% of risk, roughly in line with size. The quantum computing ETF is only 14% by weight yet drives over 30% of total risk, more than double its share, highlighting how volatile it has been in this short period. Emerging markets also contribute slightly more risk than their weight, while Japan is close to proportional. The overnight rate ETF shows effectively zero risk contribution, reflecting its very low volatility. Overall, the top three holdings generate nearly 88% of portfolio risk, underlining that recent fluctuations have been heavily driven by a small number of positions.

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 the current portfolio to other mixes of the same holdings, looking at risk versus expected return. The Sharpe ratio, which measures return per unit of risk above a risk-free rate, is 2.47 for the current mix, while the maximum‑Sharpe combination of these ETFs is higher at 3.15. The current portfolio sits about 9.38 percentage points below the frontier at its risk level, meaning there are hypothetical weightings of the existing funds that could have delivered better risk-adjusted returns over this short backtest. Interestingly, the minimum‑variance portfolio here shows extremely low risk and a high Sharpe, driven by the specific nine‑month history. This is a reminder that optimization based on limited data can easily overfit to recent quirks rather than reveal durable relationships.

Ongoing product costs Info

  • Amundi MSCI Emerging Ex China UCITS ETF Acc 0.15%
  • iShares Core MSCI Japan IMI UCITS ETF USD (Acc) 0.12%
  • Xtrackers II EUR Overnight Rate Swap UCITS ETF 1C 0.10%
  • Weighted costs total (per year) 0.05%

Costs in this portfolio are impressively low. The individual ETFs carry ongoing charges (TERs) around 0.10%–0.15%, and the blended Total TER comes out at only about 0.05%. TER, or Total Expense Ratio, is the annual fee the fund charges to cover management and running costs, quietly deducted inside the ETF. Over short periods, the impact feels tiny, but over many years even small differences compound. Being close to the lower end of the cost spectrum is a strong structural advantage, as less return is eaten by fees before it reaches the investor. This low-cost foundation aligns well with best practices for long-term investing and leaves more of any future performance—whatever it turns out to be—to the portfolio holder.

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