Growth tilted global equity portfolio with heavy US large cap growth and modest bond and gold exposure

Report created on Nov 21, 2024

Risk profile Info

5/7
Growth
Less risk More risk

Diversification profile Info

5/5
Highly Diversified
Less diversification More diversification

Positions

The portfolio is concentrated in equities with a large-cap growth bias: 45% in a U.S. large-cap growth ETF, 35% in international stocks, 10% in U.S. small-cap value, and small allocations to bonds and gold. Compared with broad balanced benchmarks this is much more equity and growth oriented and has only a light fixed income sleeve. This matters because heavier growth equity exposure tends to raise return potential and volatility. Recommendation: keep the clear growth stance if the goal is capital appreciation but consider modest shifts toward defensive or income assets when seeking smoother ride or meeting near-term liabilities.

Growth Info

Using a hypothetical $10,000 start, a 16.47% CAGR would have grown that stake substantially over several years illustrating strong historic gains. The portfolio’s max drawdown of -31.27% shows sizable downside in stress periods. The fact that 23 days produced 90% of returns highlights return clustering where a few strong market days drove most gains. This is relevant because past outperformance can mask risk concentrated in brief rallies. Recommendation: accept that high historical CAGR came with deep drawdowns and ensure allocation matches the capacity to withstand such losses or adjust to reduce peak-to-trough volatility.

Projection Info

Monte Carlo simulation projects many possible future outcomes by running thousands of randomized paths using historical return and volatility patterns; it’s a probabilistic view not a prediction. Here the simulation set gave a median end outcome materially positive and an annualized simulated return around 14.78%, with most runs ending positive. This is encouraging but simulations assume future behavior resembles history and cannot foresee structural shifts, policy changes, or rare shocks. Recommendation: use Monte Carlo as a planning tool to set expectations and stress-test goals but avoid overreliance; regularly update inputs and scenarios to reflect changing market regimes.

Asset classes Info

  • Stocks
    89%
  • Other
    5%
  • Bonds
    5%
  • Cash
    1%

Asset class split is heavily equity oriented at 89% stocks, 5% bonds, 5% gold and 1% cash. Compared to typical balanced portfolios this is materially equity tilted, which typically raises expected return and volatility. Diversification across stocks and non-correlated assets like gold and bonds adds resilience, but the small bond weight limits income and downside cushioning. Recommendation: if the priority is growth, the current mix is consistent; if capital preservation or income is needed consider increasing fixed income or cash slowly to lower portfolio beta and reduce short-term volatility while keeping long-term growth exposure.

Sectors Info

  • Technology
    27%
  • Financials
    14%
  • Consumer Discretionary
    11%
  • Industrials
    9%
  • Telecommunications
    9%
  • Health Care
    7%
  • Basic Materials
    4%
  • Energy
    3%
  • Consumer Staples
    3%
  • Utilities
    1%
  • Real Estate
    1%

Sector exposure shows a strong tilt to technology at 27% plus meaningful weights in financials and consumer cyclicals. This concentration can boost returns in favorable cycles but also raises sensitivity to sector-specific shocks such as rising interest rates or regulatory shifts. When a few sectors dominate a portfolio, diversification benefits fall during sector-driven drawdowns. Recommendation: maintain broad sector exposure if growth is the goal but monitor single-sector weights and consider incremental rebalances or small allocations to defensives when seeking smoother performance without abandoning long-term objectives.

Regions Info

  • North America
    58%
  • Europe Developed
    13%
  • Asia Emerging
    6%
  • Japan
    5%
  • Asia Developed
    4%
  • Australasia
    2%
  • Africa/Middle East
    1%
  • Latin America
    1%

Geography is skewed to North America at 58% with smaller allocations to Europe developed and various Asia regions and minimal exposure to Latin America and emerging Europe. Heavy home market bias can be helpful given strong U.S. market performance historically but it leaves the portfolio exposed to U.S.-specific risks and misses potential diversification benefits from emerging markets. Recommendation: assess whether the U.S. overweight is intentional; if broader global beta is desired consider gradual increases to underrepresented regions to capture different growth cycles and reduce single-country concentration risk.

Market capitalization Info

  • Mega-cap
    44%
  • Large-cap
    22%
  • Mid-cap
    11%
  • Small-cap
    6%
  • Micro-cap
    5%

Market-cap mix is dominated by mega and big caps (66% combined) with modest mid and small exposure. Mega-cap dominance typically lowers volatility relative to all-small portfolios and offers liquidity but may reduce upside capture if smaller companies outperform. Small-cap value exposure at 10% via a dedicated ETF provides a diversifying return stream and value tilt. Recommendation: if seeking higher long-term returns and willingness to accept more volatility, consider small increases to value or small-cap allocations; if stability is preferred keep large-cap weight and monitor rebalancing to capture mean reversion opportunities.

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 looks for the best risk-return mix among the existing assets by shifting allocations; “efficiency” here means getting the highest expected return for a given level of volatility based on historical return and covariance inputs. Optimization can improve the portfolio’s risk-adjusted profile but is constrained to current assets and assumes past statistics remain informative. Recommendation: run optimization scenarios to identify efficient mixes, then apply judgment to incorporate investor constraints, liquidity needs and forward-looking views rather than blindly adopting the mathematically optimal allocation.

Dividends Info

  • Avantis® U.S. Small Cap Value ETF 1.60%
  • Vanguard Total World Bond ETF 4.10%
  • Schwab U.S. Large-Cap Growth ETF 0.30%
  • Vanguard Total International Stock Index Fund ETF Shares 2.70%
  • Weighted yield (per year) 1.44%

The portfolio’s total yield is about 1.44% with the bond sleeve yielding ~4.1% but only at a 5% allocation; international equities and small-cap value add modest yields too. Dividends and coupon income provide cash flow and can smooth returns, especially for investors needing distributions. For a growth-focused allocation the low overall yield is consistent with capital appreciation priorities rather than income. Recommendation: if income is a goal, consider increasing bond or dividend-oriented equity allocations gradually; if growth is the priority, keep current yield profile but be aware income contribution to total return will be limited.

Ongoing product costs Info

  • Avantis® U.S. Small Cap Value ETF 0.25%
  • Vanguard Total World Bond ETF 0.05%
  • Schwab U.S. Large-Cap Growth ETF 0.04%
  • abrdn Physical Gold Shares ETF 0.17%
  • Vanguard Total International Stock Index Fund ETF Shares 0.05%
  • Weighted costs total (per year) 0.07%

The weighted cost profile is impressively low with a portfolio TER around 0.07% driven by low-fee ETFs; the most expensive holding is a small-cap value ETF at 0.25%. Low costs compound into materially higher net returns over long horizons because fees subtract directly from performance. Recommendation: maintain low-cost core holdings, revisit the highest fee fund to ensure active management justifies the cost and consider fee-efficient share classes or equivalents where similar exposure exists at lower cost to further boost net performance.

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