High concentration growth focused US equity portfolio with heavy large cap exposure and low diversification

Report created on Nov 12, 2024

Risk profile Info

7/7
Speculative
Less risk More risk

Diversification profile Info

2/5
Low Diversity
Less diversification More diversification

Positions

The portfolio is entirely equity based and dominated by growth oriented large cap ETFs with notable allocations to mid and small cap funds and a semiconductor focused position. Compared with a broad market benchmark it shows a strong tilt toward growth and large caps while lacking fixed income or cash. This matters because a portfolio concentrated in a single asset class and style can amplify both upside and downside relative to a diversified benchmark. Recommendation: reduce single asset class dominance by consolidating overlapping positions and introducing allocations that provide different return drivers and downside protection.

Growth Info

Historical metrics show a very strong headline compound annual growth rate often abbreviated CAGR which measures annualized growth like average speed over a trip but the very large reported CAGR here is likely distorted. The maximum drawdown of about -34% demonstrates meaningful downside during stress periods. Benchmark comparison shows outperformance on the upside but material exposure to concentrated rallies. Recommendation: treat high historical CAGR with caution since past performance is not a guarantee and consider smoothing returns via broader diversification and risk controls to limit future large drawdowns.

Projection Info

Monte Carlo simulation is a technique that runs many hypothetical future paths using historical returns and volatility to estimate a range of possible outcomes. The provided simulations showing universal negative endings suggest model or input issues rather than a realistic forecast because Monte Carlo depends on reasonable return and volatility inputs and assumes statistical behavior persists. Simulations are useful for thinking in ranges but have limitations: they cannot predict regime shifts or black swan events and rely on past patterns which may not repeat. Recommendation: re-run projections after removing overlapping assets and adding realistic fixed income inputs for meaningful scenario planning.

Asset classes Info

  • Stocks
    100%

The allocation is 100% equities with zero cash or bonds which explains the portfolio’s speculative risk classification. Diversified portfolios typically include some non-equity asset classes to reduce correlation and dampen volatility. The lack of alternative asset classes or cash means returns are tightly tied to equity cycles which increases sequence of returns risk for withdrawals. Recommendation: introduce a non equity sleeve sized to the investor’s time horizon and risk tolerance to provide liquidity and improve portfolio resilience during market corrections.

Sectors Info

  • Technology
    48%
  • Consumer Discretionary
    10%
  • Financials
    10%
  • Telecommunications
    9%
  • Industrials
    7%
  • Health Care
    7%
  • Energy
    3%
  • Consumer Staples
    2%
  • Basic Materials
    2%
  • Utilities
    1%
  • Real Estate
    1%

Sector exposure is heavily skewed toward a handful of areas with almost half of assets classified under information and related categories and limited weights elsewhere. Such concentration can boost long term returns when those sectors outperform but raises vulnerability to sector specific shocks and policy changes. Compared to broad market sector weights this profile is noticeably concentrated. Recommendation: reduce single-sector concentration by consolidating overlapping funds and allocating to a broader cross section of economic sectors to improve stability without necessarily sacrificing growth potential.

Regions Info

  • North America
    98%
  • Asia Developed
    1%
  • Europe Developed
    1%

Geographic exposure is overwhelmingly domestic with about 98% North America and minimal developed international exposure. A home market bias can be sensible given domestic familiarity and investor region alignment, but it reduces the diversification benefits that come from different economic cycles and currency dynamics abroad. Overweighting one region increases exposure to local policy and market risk. Recommendation: consider modest increases in non domestic exposures or blended global funds to capture different economic drivers and reduce single country vulnerability while keeping the overall risk profile consistent.

Market capitalization Info

  • Mega-cap
    42%
  • Large-cap
    28%
  • Mid-cap
    19%
  • Small-cap
    6%
  • Micro-cap
    5%

The portfolio tilts to mega and large cap stocks making up the majority of capital while mid, small and micro caps are present but much smaller. Large caps typically offer greater liquidity and lower idiosyncratic risk compared with smaller companies, while mid and small caps can deliver higher growth and more diversification benefits. The current blend favors stability of household names but also concentrates growth drivers in the largest companies. Recommendation: rebalance toward a smoother cap distribution if the goal is broader capture of market cap premia and reduced single company concentration.

Redundant positions Info

  • Vanguard Information Technology Index Fund ETF Shares
    Schwab U.S. Large-Cap Growth ETF
    High correlation

Correlation measures how assets move together where a value near 1 means near identical moves and near 0 means unrelated movements. This portfolio contains highly correlated holdings particularly among growth and technology oriented ETFs which limits diversification benefits because correlated assets tend to fall together in downturns. When many positions share the same return drivers portfolio downside is amplified. Recommendation: identify and remove redundant exposures and replace them with assets that have lower historical correlation to this equity core to improve overall risk management and reduce concentrated drawdown risk.

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.

The Efficient Frontier is a portfolio theory concept that shows the set of portfolios offering the highest expected return for a given level of risk where "risk" is typically measured by volatility. Optimization in this context refers to reallocating among the existing assets to reach a more efficient risk return balance. Given the current holdings the first optimization step is removing highly overlapping assets because redundant correlated funds offer little diversification. Recommendation: construct candidate allocations within the current asset set after eliminating overlap then identify frontier portfolios that match target risk tolerances and time horizons.

Dividends Info

  • Avantis® U.S. Small Cap Value ETF 1.60%
  • Schwab U.S. Large-Cap Growth ETF 0.30%
  • VanEck Semiconductor ETF 0.30%
  • SPDR® Portfolio S&P 500 ETF 1.10%
  • Vanguard Information Technology Index Fund ETF Shares 0.40%
  • Vanguard Mid-Cap Growth Index Fund ETF Shares 0.60%
  • Weighted yield (per year) 0.71%

The portfolio’s blended dividend yield is low which aligns with a growth focused equity approach; dividend yield here contributes only modestly to total return and is not a primary income source. For growth oriented strategies a low yield is common as returns are driven by capital appreciation rather than cash distributions. However some investors prefer a higher yield sleeve for income or to smooth returns during equity drawdowns. Recommendation: if income or lower volatility is desired introduce a small higher yield allocation or fixed income source while keeping the growth core intact.

Ongoing product costs Info

  • Avantis® U.S. Small Cap Value ETF 0.25%
  • Schwab U.S. Large-Cap Growth ETF 0.04%
  • VanEck Semiconductor ETF 0.35%
  • SPDR® Portfolio S&P 500 ETF 0.02%
  • Vanguard Information Technology Index Fund ETF Shares 0.10%
  • Vanguard Mid-Cap Growth Index Fund ETF Shares 0.07%
  • Weighted costs total (per year) 0.10%

Overall costs are impressively low with a reported total TER of around 0.10% which is a clear positive for long term compounding because fees eat into returns over decades. A few underlying ETFs carry higher expense ratios which, while not huge, could be replaced by similar lower fee options to marginally improve net returns. Recommendation: prioritize fee efficient instruments for core exposures and use slightly higher cost active or niche funds only when they add clear diversification or return rationale that justifies the cost.

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