Highly efficient global equity portfolio tilted to quality mega caps with strong historical growth

Report created on Mar 23, 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 very focused: three equity ETFs make up 100% of holdings, with 60% in a broad US large-cap tracker, 20% in a global quality ETF, and 20% in a global all‑world fund. That means everything here is stocks; there are no bonds, cash, or alternatives. A concentrated ETF mix keeps things simple and transparent, and it’s easy to manage and rebalance. The flip side is that all risk comes from one single asset class, so portfolio swings will closely follow equity markets. For someone wanting equity growth as the core engine, this structure is clear and purposeful, but it’s not designed to cushion big market drops.

Growth Info

From mid‑2019 to March 2026, €1,000 in this portfolio grew to about €2,166, a compound annual growth rate (CAGR) of 12.95%. CAGR is like the average yearly speed of a car over a long trip, smoothing out bumps. The maximum drawdown of around ‑33% shows that during sharp sell‑offs, it did fall significantly, similar to global equities, but still recovered strongly. Compared with the global market proxy, returns were higher with a similar worst‑case drop, which is a solid outcome. However, the US market reference was even stronger in this window, reminding us that historical outperformance can rotate over time and is never guaranteed.

Projection Info

The 10‑year Monte Carlo simulation uses past returns and volatility to generate 1,000 possible future paths for a €1,000 investment. Think of it as repeatedly “re‑rolling” history to see a range of plausible outcomes rather than one single forecast. The median outcome of about +363% suggests strong growth potential if markets behave broadly like the past, and even the pessimistic 5th percentile still shows a positive, though modest, gain. But these are models, not promises: they assume future behaviour looks statistically similar to history. Structural changes, new crises, or regime shifts in interest rates can all push real‑world results above or below these simulated paths.

Asset classes Info

  • Stocks
    100%

All assets are in stocks, with no allocation to bonds, cash, or other classes, so the portfolio is fully growth‑oriented. This is different from many “balanced” setups, which often combine equities with bonds to smooth the ride. A 100% equity stance is powerful for long horizons because historically stocks have delivered higher returns than safer assets, but the emotional and financial impact of drawdowns can be large. For someone wanting more stability, adding other asset classes outside this core could reduce volatility and sequence‑of‑returns risk. As it stands, the design is very clear: maximum exposure to global corporate growth, minimal ballast.

Sectors Info

  • Technology
    32%
  • Financials
    14%
  • Telecommunications
    10%
  • Consumer Discretionary
    10%
  • Health Care
    9%
  • Industrials
    9%
  • Consumer Staples
    5%
  • Energy
    4%
  • Utilities
    3%
  • Basic Materials
    3%
  • Real Estate
    2%

Sector exposure is led by technology at about 32%, followed by financials, communication services, consumer cyclicals, healthcare, and industrials. This tilt toward tech and related areas mirrors many global equity benchmarks today and has been rewarded in the recent decade. The portfolio’s sector mix is therefore well‑aligned with modern global indices, which is a strong sign of broad diversification across the economy. However, tech‑heavy allocations can be more sensitive to interest rate moves, regulation, and innovation cycles. If growth stocks fall out of favour, the portfolio could underperform more diversified factor or sector mixes, even though the underlying businesses are high quality.

Regions Info

  • North America
    87%
  • Europe Developed
    7%
  • Japan
    2%
  • Asia Developed
    1%
  • Asia Emerging
    1%
  • Australasia
    1%

Geographically, around 87% of exposure is in North America, with limited positions in Europe, Japan, and other developed and emerging regions. That’s a clear US‑centric tilt compared with many global benchmarks, which generally give the US a smaller share. This has been beneficial in recent years because US large caps outperformed much of the rest of the world. The alignment with this trend has supported the strong historical returns. The trade‑off is that outcomes now depend heavily on one region’s economic and policy conditions. Investors seeking smoother long‑term diversification might prefer a slightly higher share in other developed and emerging markets to balance regional risks.

Market capitalization Info

  • Mega-cap
    48%
  • Large-cap
    34%
  • Mid-cap
    17%
  • Small-cap
    1%

Market‑cap exposure is dominated by mega and big caps, which together make up over 80% of the portfolio, with only a small slice in medium and almost none in small caps. Large and mega companies tend to be more established, with deeper liquidity and more analyst coverage, which often leads to more stable behaviour in crises than smaller names. This strong large‑cap focus aligns closely with global benchmarks and helps keep the portfolio’s risk profile relatively predictable. The downside is missing some of the potential diversification and growth that smaller companies can offer, though they usually come with higher volatility and liquidity risk.

True holdings Info

  • NVIDIA Corporation
    6.15%
    Part of fund(s):
    • Vanguard FTSE All-World UCITS ETF USD Accumulation
    • iShares Core S&P 500 UCITS ETF USD (Acc)
    • iShares Edge MSCI World Quality Factor UCITS ETF USD (Acc) EUR
  • Apple Inc
    5.74%
    Part of fund(s):
    • Vanguard FTSE All-World UCITS ETF USD Accumulation
    • iShares Core S&P 500 UCITS ETF USD (Acc)
    • iShares Edge MSCI World Quality Factor UCITS ETF USD (Acc) EUR
  • Microsoft Corporation
    4.34%
    Part of fund(s):
    • Vanguard FTSE All-World UCITS ETF USD Accumulation
    • iShares Core S&P 500 UCITS ETF USD (Acc)
    • iShares Edge MSCI World Quality Factor UCITS ETF USD (Acc) EUR
  • Alphabet Inc Class A
    2.59%
    Part of fund(s):
    • Vanguard FTSE All-World UCITS ETF USD Accumulation
    • iShares Core S&P 500 UCITS ETF USD (Acc)
    • iShares Edge MSCI World Quality Factor UCITS ETF USD (Acc) EUR
  • Amazon.com Inc
    2.49%
    Part of fund(s):
    • Vanguard FTSE All-World UCITS ETF USD Accumulation
    • iShares Core S&P 500 UCITS ETF USD (Acc)
  • Meta Platforms Inc.
    2.40%
    Part of fund(s):
    • Vanguard FTSE All-World UCITS ETF USD Accumulation
    • iShares Core S&P 500 UCITS ETF USD (Acc)
    • iShares Edge MSCI World Quality Factor UCITS ETF USD (Acc) EUR
  • Broadcom Inc
    1.84%
    Part of fund(s):
    • Vanguard FTSE All-World UCITS ETF USD Accumulation
    • iShares Core S&P 500 UCITS ETF USD (Acc)
  • Alphabet Inc Class C
    1.78%
    Part of fund(s):
    • Vanguard FTSE All-World UCITS ETF USD Accumulation
    • iShares Core S&P 500 UCITS ETF USD (Acc)
  • Tesla Inc
    1.38%
    Part of fund(s):
    • LS 1x Tesla Tracker ETP Securities GBP
    • Vanguard FTSE All-World UCITS ETF USD Accumulation
    • iShares Core S&P 500 UCITS ETF USD (Acc)
  • Berkshire Hathaway Inc
    0.94%
    Part of fund(s):
    • iShares Core S&P 500 UCITS ETF USD (Acc)
  • Top 10 total 29.65%

Looking through the ETFs, the biggest underlying positions are familiar mega‑cap names: NVIDIA, Apple, Microsoft, Alphabet, Amazon, Meta, Broadcom, Tesla, and Berkshire Hathaway. These appear multiple times across the three funds, so the headline 60/20/20 split hides a meaningful overlap in the same companies. Because only ETF top‑10 holdings are used, true overlap is likely even higher. This overlap boosts exposure to some of the world’s most influential businesses, which has helped returns recently, but it also creates hidden concentration. If those few giants stumble or their sector falls out of favour, the whole portfolio can feel it more than the simple ETF list suggests.

Factors Info

Value
Preference for undervalued stocks
No data
Data availability: 0%
Size
Exposure to smaller companies
Very low
Data availability: 100%
Momentum
Exposure to recently outperforming stocks
Neutral
Data availability: 100%
Quality
Preference for financially healthy companies
Very high
Data availability: 20%
Yield
Preference for dividend-paying stocks
No data
Data availability: 0%
Low Volatility
Preference for stable, lower-risk stocks
No data
Data availability: 0%

Factor exposure shows strong tilts toward quality and momentum, with some influence from size. Factor investing means deliberately leaning into traits like quality (profitable, stable businesses) or momentum (recent winners) that academic research has linked to long‑term returns. A quality tilt often supports resilience in downturns and smoother earnings, while momentum can boost performance in trending markets but hurt when leadership reverses suddenly. Size exposure here mostly means a bias toward larger companies. This combination suggests the portfolio may behave well in environments where strong, established winners keep leading, but could lag if value, small caps, or high‑yield names take over leadership for an extended period.

Risk contribution Info

  • iShares Core S&P 500 UCITS ETF USD (Acc)
    Weight: 60.00%
    61.9%
  • iShares Edge MSCI World Quality Factor UCITS ETF USD (Acc) EUR
    Weight: 20.00%
    19.1%
  • Vanguard FTSE All-World UCITS ETF USD Accumulation
    Weight: 20.00%
    19.0%

Risk contribution measures how much each holding adds to overall ups and downs, which can differ from its weight. Here, the S&P 500 ETF is 60% of the portfolio but contributes about 62% of risk, while the other two ETFs each contribute slightly less risk than their weights. This is actually a healthy sign: risk‑to‑weight ratios are close to 1, so no single fund is an outsized “troublemaker.” All three together account for essentially all portfolio risk, which simply reflects the concentrated ETF list. Adjusting weights between them would mostly fine‑tune regional and factor tilts rather than dramatically changing total volatility.

Redundant positions Info

  • iShares Core S&P 500 UCITS ETF USD (Acc)
    Vanguard FTSE All-World UCITS ETF USD Accumulation
    iShares Edge MSCI World Quality Factor UCITS ETF USD (Acc) EUR
    High correlation

All three ETFs are highly correlated, meaning they tend to move up and down together. Correlation is like how often two instruments play the same tune at the same time; if they’re always in sync, adding more doesn’t soften the sound. This high equity‑only, large‑cap global correlation limits diversification benefits during sharp market sell‑offs: when global stocks drop, most of the portfolio will likely fall in tandem. Within an all‑equity framework this is common and not necessarily a flaw, especially since the allocation tracks global benchmarks well. To truly change the pattern of moves, different asset classes or distinct strategies would need to sit alongside this core.

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 the risk‑return chart, the current mix sits right on the efficient frontier, meaning that for its risk level, no better combination exists using these same holdings. The efficient frontier is the curve showing the best expected return for each possible volatility level; being on it signals an efficient allocation. The Sharpe ratio of 0.65 matches the minimum‑risk portfolio and is close to the optimal combination’s 0.74. The optimal point would take slightly more risk for a higher expected return, while the minimum‑variance mix would trim risk a bit for slightly lower return. Any future tweaks are about personal comfort with risk rather than fixing an inefficiency.

Ongoing product costs Info

  • iShares Edge MSCI World Quality Factor UCITS ETF USD (Acc) EUR 0.30%
  • iShares Core S&P 500 UCITS ETF USD (Acc) 0.12%
  • Vanguard FTSE All-World UCITS ETF USD Accumulation 0.19%
  • Weighted costs total (per year) 0.17%

Total ongoing costs (TER) average about 0.17%, with individual ETFs ranging from 0.12% to 0.30%. That’s impressively low and compares very favourably to many active funds and even many other ETF mixes. Costs are like friction in an engine: small yearly percentages compound into large differences over decades. Keeping them this low directly supports better long‑term performance because more of the gross return stays in your pocket. From a cost perspective, this portfolio is very well‑aligned with best practices. There’s little to be gained from trying to shave a basis point or two if it means sacrificing diversification, liquidity, or fund quality.

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