A globally diversified equity portfolio heavily tilted to US large caps and technology growth

Report created on Dec 13, 2025

Risk profile Info

4/7
Balanced
Less risk More risk

Diversification profile Info

4/5
Broadly Diversified
Less diversification More diversification

Positions

The portfolio is concentrated in two ETFs with 85% in a global all‑world accumulation ETF and 15% in a Nasdaq 100 accumulation ETF creating substantial overlap between broad market exposure and a concentrated US tech tilt. This structure produces effective double exposure to large US technology names because the Nasdaq allocation overlaps holdings already present in the all‑world vehicle. Overlap matters because it amplifies single‑factor risk rather than adding independent diversification. Recommendation: quantify overlapping holdings and consider trimming the concentrated sleeve or shifting some weight into non correlated assets to reduce single‑factor concentration while preserving global equity exposure.

Growth Info

Using a hypothetical initial investment of £10,000 the stated CAGR of 14.29% means the portfolio grew on average like a car traveling steadily at that speed each year; CAGR stands for Compound Annual Growth Rate and smooths year‑to‑year swings. The maximum drawdown of −32.83% shows material past volatility. Compared with a plain global equity benchmark the tech tilt likely boosted returns but increased downside moves. Historical figures are useful for context but do not guarantee future returns. Recommendation: accept that similar volatility may recur and plan contributions and rebalancing rules to ride through drawdowns.

Projection Info

A Monte Carlo simulation was run to project potential outcomes by repeatedly sampling possible return paths based on historical volatility and correlations; this creates a range of scenarios rather than a single forecast. Results show most simulations positive with strong upside percentiles but the 5th percentile still yields growth, indicating asymmetry driven by strong historical equity returns. Monte Carlo is a planning tool not a prediction and depends on past data which may not repeat. Recommendation: use these scenarios for stress testing goals and to size emergency reserves so lower‑percentile outcomes can be tolerated.

Asset classes Info

  • Stocks
    100%

The portfolio is 100% equities with no fixed income or alternatives which departs from typical balanced allocations that mix stocks and bonds to smooth volatility. A single asset class delivers higher expected long‑term growth but increases sequence‑of‑returns and short‑term drawdown risk. Recommendation: consider introducing a defensive sleeve such as government bonds, corporate bonds, or low‑correlation alternatives to reduce portfolio volatility and provide liquidity for drawdowns while keeping an equity core for growth.

Sectors Info

  • Technology
    33%
  • Financials
    14%
  • Consumer Discretionary
    11%
  • Telecommunications
    10%
  • Industrials
    9%
  • Health Care
    8%
  • Consumer Staples
    5%
  • Basic Materials
    3%
  • Energy
    3%
  • Utilities
    2%
  • Real Estate
    2%

Sector weights show heavy technology exposure at 33% plus material financials and consumer cyclicals with smaller allocations to defensive sectors. Sector concentration, particularly in technology, can magnify sensitivity to interest rate changes, regulation, or sector rotations. Balanced sector allocation tends to reduce single‑industry shocks. Recommendation: consider trimming the most concentrated sector exposure or adding allocations to defensive or cyclical diversifiers to reduce sector‑specific tail risk while maintaining return potential.

Regions Info

  • North America
    71%
  • Europe Developed
    12%
  • Asia Emerging
    5%
  • Japan
    5%
  • Asia Developed
    4%
  • Australasia
    1%
  • Africa/Middle East
    1%
  • Latin America
    1%

Geographic allocation is heavily skewed to North America at 71% with modest developed Europe and small emerging and Asia exposures. High country concentration increases sensitivity to US economic cycles, regulatory shifts, and currency moves. Global benchmarks typically have wider regional spread which provides smoother returns across different macro environments. Recommendation: if the US tilt is unintentional consider rebalancing toward non‑US developed and emerging markets or adding targeted international exposures to improve geographic diversification.

Market capitalization Info

  • Mega-cap
    49%
  • Large-cap
    34%
  • Mid-cap
    16%

The market‑cap profile is dominated by large caps with nearly 83% in mega and big cap buckets and 16% mid cap, with little small‑cap exposure. Large caps often offer stability, liquidity, and lower volatility while small caps can add return potential and diversification. Market cap balance affects both risk and return characteristics. Recommendation: introduce a measured allocation to smaller caps if the objective is higher expected returns and the investor can tolerate elevated volatility and potential liquidity constraints.

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.

Efficient Frontier theory finds portfolios that offer the best expected return for a given level of risk; the Efficient Frontier here would be built using only the existing assets and adjusting allocations between the two ETFs. With only two equity‑heavy instruments the frontier is constrained and gains from re‑allocation are limited compared with adding new asset classes. Recommendation: run an optimization including low‑correlation assets if the aim is true risk‑return efficiency, keeping in mind that efficiency is about best risk‑adjusted return not necessarily maximum diversification or meeting other non‑financial goals.

Ongoing product costs Info

  • iShares NASDAQ 100 UCITS ETF USD (Acc) 0.36%
  • Vanguard FTSE All-World UCITS ETF USD Accumulation 0.19%
  • Weighted costs total (per year) 0.22%

The listed expense ratios are low with a weighted total expense ratio around 0.22% which is favorable for long‑term compounding since lower costs directly boost net returns. TER, or Total Expense Ratio, is the ongoing annual fee for running a fund and acts like a drag on performance similar to a small tax on returns. Recommendation: keep platform and trading costs low, avoid frequent turnover that increases implicit costs, and periodically compare total custody and trade fees to ensure the low TER advantage is preserved.

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