Concentrated global equity mix with strong past returns and one high risk single stock position

Report created on Apr 13, 2026

Risk profile

  • Secure
    Speculative

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.

Diversification profile

  • Focused
    Diversified

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.

Positions

The portfolio is built from just two positions: a broad global equity ETF at 70% and a single industrial company at 30%. This creates a simple structure with one diversified core and one concentrated satellite. Simplicity can be helpful to understand what’s driving returns and risk, but only two holdings naturally limit diversification. A large single-stock position will typically make the portfolio much bumpier than a basket of smaller positions. As a takeaway, this kind of structure can work when someone deliberately wants a high-conviction tilt on top of a global base, but it comes with clear concentration risk that needs to be consciously accepted and monitored over time.

Growth Info

Over the short history shown, £1,000 grew to about £4,265, giving a compound annual growth rate (CAGR) of 68.69%. CAGR is like your average yearly “speed” over the whole journey, smoothing out the bumps. This massively beat both the US and global market benchmarks, which were around 15.7% CAGR. The portfolio’s max drawdown, a measure of worst peak‑to‑trough drop, was about -21%, similar to the US benchmark but slightly worse than the global one. Such extraordinary outperformance over a limited period is impressive but unlikely to be sustainable. Past performance is not a guide to future returns, especially when driven by a single volatile stock.

Projection Info

The Monte Carlo projection uses many simulated futures based on historical ups and downs to show a range of possible 15‑year outcomes. It’s like running 1,000 alternate timelines for the same portfolio and seeing where £1,000 might land. The median scenario ends near £2,786, with most paths falling between roughly £1,847 and £4,165, and a wide possible band out to about £7,354. The average annualized return across simulations is about 8%, with roughly a three‑in‑four chance of a positive outcome. These numbers are useful for planning, but they rely on past volatility patterns continuing, which is never guaranteed and can change with new crises or market regimes.

Asset classes Info

  • No data
    70%
  • Stocks
    30%

The asset class data only clearly labels 30% as stocks, with the remaining 70% sitting in a “No data” bucket, which in this context is simply an information gap rather than a different asset type. When asset class breakdowns are incomplete, it becomes harder to judge diversification between, say, equities, bonds, or alternatives. For risk planning, knowing how much sits in growth‑oriented assets versus stabilizing assets is key. Here, the visible information and overall risk profile both suggest a heavily equity‑like exposure. The practical takeaway is that this setup should be viewed as an equity-focused, growth‑oriented portfolio rather than a balanced mix across multiple asset classes.

Sectors Info

  • Industrials
    30%

On the sector view, 30% of the portfolio is explicitly tagged as industrials, reflecting the single Siemens Energy position. That’s a chunky tilt toward one economically sensitive sector that tends to benefit when global activity and capital spending are strong, but can suffer during downturns or periods of regulatory or commodity-related stress. The ETF portion will spread exposure across many sectors, but that diversity isn’t visible in this simple sector table. Having a large, explicit tilt to one cyclical sector means returns may react strongly to business cycles and policy changes. For someone seeking smoother sector balance, a smaller single-stock tilt or multiple smaller positions would generally spread sector risk more evenly.

Regions Info

  • Europe Developed
    30%

Geographically, 30% is clearly in developed Europe via the Siemens Energy stake. The global ETF will add exposure to many other regions, but that spread isn’t fully captured in the geography data shown. Compared to a typical world equity allocation, this means the portfolio has an overweight to one European issuer on top of a broadly diversified base. That regional focus can be a positive if European conditions are favourable, but it also links a large chunk of the portfolio to that region’s economy, politics, and currency sensitivity. From a risk perspective, it’s important to recognize that any country‑ or region‑specific issues affecting that stock could have an outsized impact on overall results.

Market capitalization Info

  • Large-cap
    30%

The market capitalization breakdown shows 30% in large‑cap, driven by the Siemens Energy position. Large‑cap companies are typically more established and often less volatile than very small firms, though they can still experience big swings, especially in cyclical or leveraged industries. The ETF’s market‑cap mix is not detailed here, but broad global funds usually lean strongly toward large‑ and mega‑caps. Overall, that suggests the portfolio likely has a big-company bias rather than a heavy allocation to smaller, more speculative names. This large‑cap tilt tends to track global equity benchmarks reasonably well, while the single stock overlay adds specific company and sector risk on top of that broad foundation.

Risk contribution Info

  • Siemens Energy AG
    Weight: 30.00%
    70.5%
  • Invesco FTSE All-World UCITS ETF USD Accumalation
    Weight: 70.00%
    29.5%

Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ from its weight. Here, Siemens Energy is 30% of the capital but contributes about 70% of the total risk, more than double its size on a risk/weight basis. The ETF, despite being 70% of the money, only accounts for about 30% of the risk. This means the portfolio’s behaviour is dominated by what happens to that single company. If it does very well, performance can look spectacular; if it struggles, the whole portfolio feels it. Aligning risk contribution closer to position size — often via smaller single-stock weights — can make the ride more predictable.

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.

The efficient frontier chart shows the current portfolio sitting on or very close to the frontier, meaning that for its chosen risk level, the mix of these two holdings is already delivering strong risk‑adjusted returns. The Sharpe ratio — a measure of return per unit of risk — is a healthy 1.7. There is an “optimal” mix with a slightly higher Sharpe of 1.84 but also much higher volatility, and a minimum‑variance option with lower risk and lower return. The takeaway is reassuring: using only these two positions, the current allocation is already efficient. Any big change would mainly be about shifting risk appetite rather than fixing an obviously sub‑optimal structure.

Dividends Info

  • Siemens Energy AG 0.40%
  • Weighted yield (per year) 0.12%

The portfolio’s income profile is modest. Siemens Energy’s yield is shown at 0.40%, and the total portfolio yield is just 0.12%. Dividend yield is simply the annual cash payout as a percentage of current price — helpful for investors who want regular income. A low yield suggests this setup is tilted more toward capital growth than income generation. That’s not a flaw; it simply matches a growth‑oriented objective rather than an income‑focused one. Anyone relying on investments for cash flow would need to plan for selling shares periodically or pairing this strategy with higher‑yielding holdings elsewhere. For long‑term accumulators, the low yield is less of an issue if the focus is on reinvesting gains.

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