High equity growth tilt with heavy US technology exposure and impressively low ongoing costs

Report created on Nov 13, 2024

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 split evenly between a US information technology sector ETF and a global all‑world ETF at 50/50, resulting in a concentrated equity-only holding. This structure increases exposure to large US tech names because the sector ETF stacks on top of the All-World allocation. That matters because a sector sleeve can materially change the risk profile relative to a broad benchmark that mixes sectors and asset classes. Recommendation: identify whether the sector tilt is intentional and if it is not, consider rebalancing toward a broader mix of asset classes to align risk with stated balanced profile.

Growth Info

Using a hypothetical £10,000 invested through the historical period that produced a 19.05% CAGR the balance would have grown substantially — for example over ten years that return compounds to roughly £58,500. CAGR, or Compound Annual Growth Rate, measures average annual growth like the steady speed of a car over a trip. The portfolio’s max drawdown of −25.09% shows material downside in stress periods and the fact that 59 days make up 90% of returns highlights return concentration. Recommendation: be ready for deep drawdowns and consider smoothing via diversifying asset classes.

Projection Info

Monte Carlo simulation ran 1,000 scenarios to project a range of possible future outcomes using historical return patterns and volatility. Monte Carlo generates many simulated paths by randomly sampling returns and volatility to estimate probabilities of different end values. Results show wide dispersion with a 5th percentile outcome around 308% and median near 1,093% depending on horizon assumptions. Simulations are helpful for planning but limited because they assume the future resembles the past and cannot predict regime shifts or black swan events. Recommendation: use simulations as one input not a certainty.

Asset classes Info

  • Stocks
    100%

The portfolio is 100% equities which gives strong growth potential but also high volatility and sequence-of-returns risk for shorter horizons. Many balanced benchmarks include significant fixed income or alternatives to dampen volatility; compared with those norms this allocation is equity-heavy. Having all risk concentrated in one asset class reduces the ability to offset equity drawdowns with countercyclical assets. Recommendation: if the objective is balanced risk consider introducing bonds or alternative assets to lower portfolio volatility and improve downside protection while preserving long‑term growth.

Sectors Info

  • Technology
    64%
  • Financials
    8%
  • Consumer Discretionary
    5%
  • Industrials
    5%
  • Telecommunications
    5%
  • Health Care
    4%
  • Consumer Staples
    2%
  • Energy
    2%
  • Basic Materials
    2%
  • Utilities
    1%
  • Real Estate
    1%

Sector breakdown shows around 64% technology with the remainder spread thinly across financials consumer cyclicals industrials communication services and healthcare. This concentration increases sensitivity to sector specific shocks for example greater volatility during rate resets or regulatory changes in tech. When portfolio sectors align with broad market benchmarks it supports diversification but here the large tech tilt departs from common market mixes. Recommendation: consider trimming the concentrated sector sleeve or adding exposure to underweight sectors to reduce single-sector vulnerability while keeping overall equity exposure.

Regions Info

  • North America
    83%
  • Europe Developed
    7%
  • Asia Emerging
    3%
  • Japan
    3%
  • Asia Developed
    2%
  • Australasia
    1%
  • Africa/Middle East
    1%

Geographic exposure is heavily skewed to North America at roughly 83% with small allocations to Europe Japan and emerging Asia. Geographic concentration increases home or regional market risk and reduces benefits from different economic cycles or currency diversification. Many global benchmarks have more balanced distributions across North America Europe and Asia which can smooth performance over varied macro environments. Recommendation: evaluate whether the US heavy stance is intentional and if not consider increasing allocations to non‑US developed and emerging markets to broaden macro diversification.

Market capitalization Info

  • Mega-cap
    58%
  • Large-cap
    29%
  • Mid-cap
    12%

Market cap profile shows a heavy tilt to mega and large caps with 58% mega and 29% big cap and only around 12% mid cap. Large caps tend to offer greater liquidity and typically lower volatility relative to small caps but may provide less long‑term growth potential. This composition can help during market stress because large caps often decline less, but it also reduces exposure to smallcap value style premiums. Recommendation: if pursuing higher growth or factor diversification consider a modest allocation to mid and small caps to capture different return drivers.

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 optimization finds the best possible risk‑return tradeoffs given the current set of assets and reallocations between them. The Efficient Frontier is a curve showing portfolios that maximize return for each level of risk similar to getting the best speed for each amount of fuel. With only two equity ETFs the scope for large efficiency gains is limited because there are few uncorrelated instruments to reshape risk. Recommendation: to materially shift the frontier consider adding additional asset classes such as fixed income or alternatives rather than only reweighting the existing two funds.

Dividends Info

  • Vanguard FTSE All-World UCITS 0.60%
  • Weighted yield (per year) 0.30%

The portfolio’s total dividend yield is low around 0.30% with the All‑World fund yielding approximately 0.60% and the tech sleeve contributing little income. Dividends provide steady income and can cushion total returns during weak price performance but here income is not a major return component. For investors seeking growth this is acceptable, but for those needing income or cashflow the yield is insufficient. Recommendation: if income matters consider introducing higher yielding instruments or a dedicated dividend strategy to meet cashflow needs without significantly changing risk tolerance.

Ongoing product costs Info

  • iShares S&P 500 USD Information Technology Sector UCITS 0.15%
  • Vanguard FTSE All-World UCITS 0.19%
  • Weighted costs total (per year) 0.17%

Ongoing costs are low with TERs of 0.15% for the sector ETF and 0.19% for the All‑World fund producing a blended total expense ratio near 0.17%. TER, or Total Expense Ratio, is the annual fee as a percent of assets and acts like a drag on compounded returns much like fuel costs on a long trip. Low fees are a clear positive for long‑term performance and align well with best practices. Recommendation: maintain awareness of fee changes and prefer low‑cost vehicles where quality tracking and liquidity are comparable.

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