A low cost global equity portfolio with strong US tilt and growth oriented large cap exposure
Report created on Mar 16, 2026Risk profile
4/7
Diversification profile
3/5
Positions
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VW Vanguard FTSE All-World UCITS
VWRL - IE00B3RBWM25 75.00% -
VU Vanguard S&P 500 UCITS ETF
VUSA - IE00B3XXRP09 25.00%
This portfolio is extremely simple, holding just two broad equity ETFs, with 75% in global stocks and 25% in a US-focused fund. Compared with a typical global benchmark, this structure leans more heavily into the US than a pure world index would. A two-fund setup is easy to understand and manage, which is a big plus for long-term discipline. However, having both funds track very similar universes means a lot of overlap. Streamlining to a single core fund or a clearly defined split between different styles or regions could reduce redundancy while keeping the same overall risk profile.
Growth
Historically, a 13.49% CAGR (Compound Annual Growth Rate) means an initial £10,000 could have grown to roughly £35,000 over ten years, assuming similar conditions. CAGR is like average speed on a road trip, smoothing out bumps along the way. A maximum drawdown of about -25% shows that the worst peak‑to‑trough drop was meaningful but not extreme for an all‑equity mix. The fact that only 46 days created 90% of returns highlights how missing just a few strong days can hurt outcomes. Staying consistently invested, rather than trying to time entries and exits, fits this kind of return pattern best.
Projection
The Monte Carlo analysis, which runs 1,000 simulated return paths based on historical patterns, suggests a wide range of outcomes. Monte Carlo is like running many “what if” market histories to see where the portfolio might land. The median result of about 566% means £10,000 could grow to around £56,600 in the middle scenario, while the 5th percentile at roughly 166% shows that even in weaker simulations the portfolio still grows. The annualised simulated return of 15.14% is strong but relies on the past repeating. Because markets change, these projections should be treated as rough planning tools, not precise forecasts.
Asset classes
- Stocks 100%
The allocation is 100% in stocks, with no bonds, cash, or alternatives playing a role. That’s a clear equity-focused approach, which historically offers higher growth potential but also sharper ups and downs. Compared with a typical “balanced” mix, which usually includes a meaningful bond component, this structure sits closer to a growth or aggressive allocation. This can still fit a balanced risk score if the investor accepts volatility and has time to ride out setbacks. Adding even a modest slice of more defensive assets could smooth the ride, but would also likely reduce long‑term return potential. The current setup rightly prioritises simplicity and growth.
Sectors
- Technology 29%
- Financials 16%
- Consumer Discretionary 10%
- Industrials 10%
- Telecommunications 10%
- Health Care 9%
- Consumer Staples 5%
- Energy 4%
- Basic Materials 3%
- Utilities 2%
- Real Estate 2%
Sector exposure is tech-heavy at 29%, with financials, consumer cyclicals, industrials, communications, and healthcare making up most of the rest. This is quite similar to broad global benchmarks today, where technology and communication companies dominate the top weights. Such a tilt benefits from innovation and digital trends but can be more sensitive when interest rates rise or when growth stocks fall out of favour. The good news is the portfolio still holds meaningful exposure to defensive areas such as consumer staples, healthcare, and utilities. This sector mix is well-balanced and aligns closely with global standards, but it is important to understand that tech-led rallies and corrections will strongly influence results.
Regions
- North America 73%
- Europe Developed 11%
- Japan 4%
- Asia Emerging 4%
- Asia Developed 4%
- Australasia 1%
- Africa/Middle East 1%
- Latin America 1%
Geographically, around 73% of the portfolio sits in North America, with smaller allocations to developed Europe, Japan, and various Asian and emerging regions. This US tilt closely matches many global benchmarks, which are market‑cap weighted and naturally dominated by large US companies. It benefits from the strength of US markets in recent decades but does leave outcomes tied heavily to one region. Exposure to the rest of the world is still substantial enough to capture growth elsewhere and reduce single-country risk. For someone wanting even more global balance, shifting slightly from US-heavy allocations towards other regions could diversify economic and currency drivers further.
Market capitalization
- Mega-cap 48%
- Large-cap 35%
- Mid-cap 17%
- Small-cap 1%
The market-cap breakdown shows 48% in mega caps, 35% in big caps, and only a small slice in medium and small companies. This mirrors mainstream global indices, where the largest firms dominate. Large and mega caps tend to be more stable businesses with better access to capital, which can make them somewhat steadier than smaller companies during stress, though still volatile overall. The trade-off is that potential “home run” growth from small caps is limited in this mix. This structure is well-aligned with common benchmarks and keeps things straightforward. Anyone wanting extra diversification into smaller companies might consider increasing exposure to broader all‑cap funds rather than narrow large‑cap trackers.
True holdings
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NV NVIDIA Corporation 5.42%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Vanguard S&P 500 UCITS ETF
-
AA Apple Inc 4.54%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Vanguard S&P 500 UCITS ETF
-
MS Microsoft Corporation 3.82%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Vanguard S&P 500 UCITS ETF
-
AM Amazon.com Inc 2.76%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Vanguard S&P 500 UCITS ETF
-
GO Alphabet Inc Class A 2.35%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Vanguard S&P 500 UCITS ETF
-
GO Alphabet Inc Class C 1.90%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Vanguard S&P 500 UCITS ETF
-
ME Meta Platforms Inc. 1.87%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Vanguard S&P 500 UCITS ETF
-
AV Broadcom Inc 1.84%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Vanguard S&P 500 UCITS ETF
-
TS Tesla Inc 1.45%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Vanguard S&P 500 UCITS ETF
-
23 Taiwan Semiconductor Manufacturing Co. Ltd. 1.06%
Part of fund(s):- Vanguard FTSE All-World UCITS
- Top 10 total 27.02%
Looking through the top holdings, the portfolio is heavily tilted toward mega-cap growth names such as NVIDIA, Apple, Microsoft, Amazon, Alphabet, and Meta. These companies are leaders in areas like technology, digital platforms, and semiconductors, which helps explain the strong past performance and high momentum profile. Because only the top ten holdings of each ETF are shown, true overlap is likely higher than the reported 27.4% coverage. This means underlying diversification is broader than it appears, but also that the biggest drivers of returns are concentrated in a handful of giants. Keeping an eye on how comfortable one feels with this reliance on a few mega-caps is important.
Factors
Factor exposure indicates strong tilts to momentum (65%) and size (20%), with limited data on value, quality, yield, or low volatility. Factor exposure is basically how much the portfolio leans into certain characteristics, like trend-following (momentum) or smaller companies (size), that research links to returns. A high momentum tilt means the holdings have recently performed well, which tends to boost returns in trending markets but can hurt more when leadership reverses sharply. The size tilt suggests some bias away from the very largest stocks toward slightly smaller ones within the universe, adding a bit of diversification. Because coverage is partial, the picture isn’t complete, but the momentum tilt is clearly a key driver of behaviour.
Risk contribution
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Vanguard FTSE All-World UCITS
Weight: 75.00% 73.5% -
Vanguard S&P 500 UCITS ETF
Weight: 25.00% 26.5%
Risk contribution shows how much each holding drives overall volatility, which can differ from simple weight. Here, the global ETF contributes about 73% of risk for its 75% weight, while the US ETF adds roughly 27% of risk for 25% weight. A risk-to-weight ratio near 1 for both means each fund’s risk impact is broadly in line with size, with no single holding wildly dominating beyond what its weight suggests. That’s a healthy sign. However, since both funds hold highly overlapping stocks, true underlying risk still depends heavily on mega-cap US growth names. Aligning position sizes with desired risk levels is already working well in this structure.
Redundant positions
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High correlationVanguard FTSE All-World UCITSVanguard S&P 500 UCITS ETF
The two ETFs are highly correlated, meaning they tend to move in the same direction at the same time. Correlation is simply a measure of how closely different investments travel together; when correlation is high, diversification benefits are limited. In stressed markets, both funds would likely fall in tandem because they share many of the same underlying companies. This doesn’t make the portfolio “bad,” but it does mean the second fund adds only modest diversification beyond tweaking weights. Streamlining overlapping holdings and then, if desired, introducing assets with genuinely different behaviour would create more meaningful risk spreading without overcomplicating the setup.
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.
On a pure risk‑return basis, the current mix sits on the efficient side for an all‑equity portfolio, but there is redundancy. The Efficient Frontier is the curve showing the best possible risk‑return combinations from a set of assets, where “efficient” simply means maximum return for each level of volatility. Because both ETFs are highly correlated and hold similar stocks, the optimization mainly suggests removing overlap rather than dramatically shifting risk. Rebalancing into a single broad global fund or a clearer split between distinct exposures could keep expected return similar while simplifying management. Any move toward adding defensive assets would shift the position along the frontier toward lower risk and lower expected return, not necessarily “better,” just different.
Dividends
- Vanguard FTSE All-World UCITS 0.30%
- Weighted yield (per year) 0.22%
The indicated yield of around 0.22% is quite low for an equity portfolio, reflecting the growth tilt and the dominance of companies that reinvest profits rather than pay high dividends. Dividend yield is the annual cash payout as a percentage of the investment value, and it can be useful for those seeking income. In this case, total return is driven mainly by price appreciation rather than regular cash flow. For growth-focused investors this is perfectly fine and consistent with modern index-heavy portfolios. Those needing income might complement this core with cash-flow-focused strategies elsewhere, while keeping in mind that chasing higher yield can often mean taking on different kinds of risk.
Ongoing product costs
- Vanguard S&P 500 UCITS ETF 0.07%
- Vanguard FTSE All-World UCITS 0.19%
- Weighted costs total (per year) 0.16%
Total ongoing costs of about 0.16% per year are impressively low and a real strength of this portfolio. The TER (Total Expense Ratio) is like a small annual service fee baked into the fund price. Compared with many active funds that charge several times this amount, such low costs leave more of the market’s return in the investor’s pocket. Over multi‑decade horizons, shaving even half a percent off fees can significantly increase the final outcome. This cost profile aligns extremely well with long‑term best practices and supports better performance without adding complexity. Keeping this low-cost mindset is a big positive.
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