US equity concentrated growth portfolio dominated by large cap tech with limited diversification

Report created on Nov 21, 2024

Risk profile Info

5/7
Growth
Less risk More risk

Diversification profile Info

2/5
Low Diversity
Less diversification More diversification

Positions

Observation: The portfolio is built from three ETFs with 100% equity exposure and concentrated weights: about 46% in a broad S&P 500 ETF, 32% in a growth-focused ETF, and 22% in a high dividend ETF. Education: A concentrated set of overlapping ETFs means many holdings move together and the effective diversification is lower than the headline count implies. Recommendation: Reduce overlap by replacing or trimming highly similar exposures and add at least one distinct asset class or region to broaden diversification and lower single-market dependence.

Growth Info

Observation: Using a hypothetical $10,000 start the stated CAGR is 15.80% with a maximum drawdown of -33.37% and 36 days that account for 90% of returns. Education: CAGR, or Compound Annual Growth Rate, shows average annual growth like an average speed on a long trip; drawdown measures peak-to-trough loss and highlights real downside risk. Recommendation: Recognize that strong historical CAGR came with significant volatility; plan for similar swings by setting a target allocation to risk assets or adding defensive holdings to reduce drawdown risk in future stress events.

Projection Info

Observation: A Monte Carlo simulation with 1,000 runs projects a wide outcome range: 5th percentile end value about 127.8% and median about 634.9% with nearly all runs positive. Education: Monte Carlo uses random draws based on historical returns and volatility to estimate many possible futures but it relies on past behavior and assumptions that may not hold. Recommendation: Use these projections as scenario planning not prediction—build a plan for low percentile outcomes such as holding cash buffers, setting rebalancing rules, or adjusting allocation before relying on optimistic medians.

Asset classes Info

  • Stocks
    100%

Observation: The allocation is 100% stocks and 0% bonds or alternatives, which increases sensitivity to equity market cycles. Education: Asset classes like bonds or alternatives often provide different risk and return patterns and can smooth portfolio swings; lacking them leaves the portfolio fully exposed to equity downturns. Recommendation: Introduce non-equity exposure sized to personal risk tolerance and goals, for example a modest allocation to fixed income or low-correlation alternatives to lower volatility and provide liquidity during drawdowns.

Sectors Info

  • Technology
    38%
  • Financials
    12%
  • Consumer Discretionary
    11%
  • Telecommunications
    10%
  • Health Care
    9%
  • Industrials
    7%
  • Consumer Staples
    5%
  • Energy
    3%
  • Utilities
    2%
  • Basic Materials
    1%
  • Real Estate
    1%

Observation: Sector exposure is skewed with Technology at 38% and the remaining sectors spread unevenly across financials, consumer cyclicals, communication services and others. Education: Sector concentration, especially in tech, can amplify performance in favorable cycles and deepen losses during policy shifts or sector-specific shocks; many broad benchmarks are more balanced across sectors. Recommendation: Consider trimming the largest sector tilt or adding holdings that boost underweight sectors to reduce single-sector risk and help stabilize returns over different market environments.

Regions Info

  • North America
    100%

Observation: Geographic exposure is 100% North America with no developed ex-US or emerging market exposure. Education: Home bias limits access to different economic cycles and growth opportunities; global diversification spreads political economic and currency risk and can improve long-term risk adjusted returns. Recommendation: Add foreign developed and selective emerging market exposure gradually to capture diversification benefits and reduce dependence on a single economy or currency while monitoring overlap with existing holdings.

Market capitalization Info

  • Mega-cap
    45%
  • Large-cap
    34%
  • Mid-cap
    17%
  • Small-cap
    2%

Observation: Market cap tilt is toward mega and large caps with 45% mega and 34% big cap plus 17% mid and only 2% small. Education: Large caps typically deliver more stability and liquidity while mid and small caps can offer higher growth potential and different return drivers; market cap diversity helps capture size-related premia. Recommendation: Evaluate adding mid and small cap exposure or a broader cap-weighted fund to diversify size risk and potentially enhance returns over long horizons while balancing the increased volatility of smaller companies.

Redundant positions Info

  • Vanguard S&P 500 ETF
    Vanguard Growth Index Fund ETF Shares
    High correlation

Observation: The S&P 500 ETF and the Growth ETF are flagged as highly correlated indicating significant overlap in holdings and return drivers. Education: Correlation measures how assets move together; when correlation is high the benefit of holding both is limited and portfolio risk isn’t meaningfully reduced. Recommendation: Remove or replace one of the overlapping ETFs with a low-correlation asset such as international equities, value-oriented funds, or alternative exposures to improve true diversification and resilience in downturns.

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.

Observation: Optimization advice notes that current assets are overlapping and that removing correlated holdings should precede any Efficient Frontier analysis. Education: The Efficient Frontier is a concept that shows portfolios offering the highest expected return for a given level of risk; optimization here uses only current assets and shifts allocations between them to find a theoretically more efficient mix. Recommendation: First expand the investable universe with lower-correlation assets or bonds then run an optimization focused on your risk target so the frontier can produce meaningful trade-offs rather than re-weighting redundant exposures.

Dividends Info

  • Vanguard S&P 500 ETF 1.10%
  • Vanguard Growth Index Fund ETF Shares 0.40%
  • Vanguard High Dividend Yield Index Fund ETF Shares 2.40%
  • Weighted yield (per year) 1.17%

Observation: The blended portfolio yield is about 1.17% with the high dividend ETF contributing 2.4% while the growth ETF yields 0.4%. Education: Dividend income contributes to total return and can provide cash flow and some downside support, but yields vary by strategy and may lag growth in total return focused holdings. Recommendation: Decide if income generation is a formal objective; if so increase allocation to dividend generating assets or income strategies, otherwise accept current lower yield as a tradeoff for capital appreciation potential.

Ongoing product costs Info

  • Vanguard S&P 500 ETF 0.03%
  • Vanguard Growth Index Fund ETF Shares 0.04%
  • Vanguard High Dividend Yield Index Fund ETF Shares 0.06%
  • Weighted costs total (per year) 0.04%

Observation: Total expense ratio (TER) across holdings is very low at about 0.04% with individual ETF fees of 0.03% to 0.06%. Education: TER measures the ongoing cost of holding funds; lower costs compound into higher net returns long term much like keeping fuel costs low on a long trip. Recommendation: Keep costs low by preferring low-fee ETFs, but also monitor trading costs and tax efficiency—ensuring the cheapest funds still meet diversification and exposure needs is key to optimizing net returns.

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