Concentrated US equity portfolio with growth tilt and moderate dividend income focus

Report created on Aug 11, 2024

Risk profile Info

4/7
Balanced
Less risk More risk

Diversification profile Info

2/5
Low Diversity
Less diversification More diversification

Positions

Observation: The portfolio is constructed from three ETFs with a heavy equity focus: 50% in a total US market ETF, 25% in a NASDAQ 100 ETF, and 25% in a U.S. dividend equity ETF. This results in a single asset class portfolio dominated by U.S. stocks with clear tilts toward large and mega caps and growth-oriented names. Education: Knowing the exact weights helps you see where returns and risks are concentrated so you can judge whether exposures match investment goals. Recommendation: Consider whether the current single‑class U.S. stock weighting matches your objective and risk tolerance then decide if adding non‑equity allocations or international exposure is warranted to improve diversification.

Growth Info

Observation: Historically the portfolio shows a compounded annual growth rate (CAGR) of 15.04% with a maximum drawdown of −24.82%. To illustrate, a hypothetical $10,000 invested over ten years at a 15.04% CAGR would grow to roughly $40,000 while having experienced peak-to-trough declines near a quarter of value. Education: CAGR, or Compound Annual Growth Rate, measures average yearly growth like an average speed over a road trip; max drawdown shows the worst fall from peak which signals downside risk. Recommendation: Use these history metrics to gauge stamina for volatility and set rebalancing or cash buffers to handle significant drawdowns.

Projection Info

Observation: Monte Carlo simulations with 1,000 runs produce a wide range of outcomes; the 5th percentile is about 101.7% while the median is 571.5% and the annualized simulated return is 15.88%, with 997 of 1,000 simulations positive. Education: A Monte Carlo simulation models many possible future paths using historical return patterns and randomness to estimate outcomes; it’s a probabilistic tool not a prediction. Limitation: Simulations assume future return behavior resembles the past and may understate extreme events. Recommendation: Treat simulations as scenario planning; use them to set realistic targets and emergency planning rather than exact forecasts.

Asset classes Info

  • Stocks
    100%

Observation: Asset allocation is 100% equities with zero allocations to bonds, cash, or alternatives. Education: Holding only one asset class concentrates portfolio risk because stocks typically move together in downturns; a balanced portfolio often includes fixed income to smooth volatility and provide liquidity. Recommendation: If the profile is meant to be balanced, evaluate adding bonds or cash equivalents to lower short-term volatility and provide a rebalancing source; if the goal is pure growth, document why the single‑class stance is intentional.

Sectors Info

  • Technology
    33%
  • Consumer Discretionary
    11%
  • Health Care
    10%
  • Telecommunications
    10%
  • Financials
    9%
  • Consumer Staples
    8%
  • Industrials
    8%
  • Energy
    7%
  • Utilities
    2%
  • Basic Materials
    1%
  • Real Estate
    1%

Observation: Sector exposure is clearly skewed with Technology at 33%, Consumer Cyclicals 11%, Healthcare 10%, Communication Services 10%, and other sectors smaller, leaving some areas underweighted. Education: Sector concentration can amplify sector‑specific risks: for example, tech-heavy portfolios may show higher volatility during rising rates or regulatory pressure. Recommendation: Review whether the tech and growth tilt is intentional; consider gradual sector rebalancing or diversifying into underweight sectors to reduce single-sector vulnerability while preserving desired growth exposure.

Regions Info

  • North America
    99%
  • Europe Developed
    1%

Observation: Geographic exposure is almost entirely domestic with 99% North America and only 1% Europe developed. Education: Heavy home bias can miss diversification benefits from differing economic cycles and currency exposures abroad; global benchmarks typically have a broader mix and can reduce country-specific risk. Recommendation: If international diversification is a goal, contemplate a measured allocation to developed ex‑US and emerging markets to smooth returns across different economic environments and reduce dependence on U.S.-only outcomes.

Market capitalization Info

  • Large-cap
    39%
  • Mega-cap
    34%
  • Mid-cap
    20%
  • Small-cap
    5%
  • Micro-cap
    2%

Observation: Market capitalization skew shows Mega and Big caps making up about 73% combined with Medium 20% and Small plus Micro only 7%. Education: Large caps tend to be more stable and offer liquidity but typically grow slower than small and mid caps over long cycles; a heavy large‑cap tilt reduces exposure to small‑cap premiums and may concentrate on a handful of dominant names. Recommendation: Decide if the stability of large caps is the priority; if not, introduce a targeted small‑ or mid‑cap allocation to enhance diversification and potential long‑term return.

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: With only three ETFs optimization along an Efficient Frontier is possible by adjusting weights to seek an improved risk‑return tradeoff but options are limited by the asset set. Education: The Efficient Frontier shows the best expected return for a given level of risk based on current assets and their historical covariance; it helps illustrate whether weight changes can yield a better risk/return balance. Limitation: Optimizations rely on historical estimates which can be unstable and sensitive to inputs. Recommendation: Use optimization as a directional tool to find more efficient weightings but supplement with stress tests and scenario analysis before implementing changes.

Dividends Info

  • Invesco NASDAQ 100 ETF 0.50%
  • Schwab U.S. Dividend Equity ETF 2.80%
  • Vanguard Total Stock Market Index Fund ETF Shares 1.10%
  • Weighted yield (per year) 1.38%

Observation: The blended portfolio dividend yield is modest at 1.38% driven by a 2.8% yield in the dividend ETF offset by only 0.5% from the NASDAQ ETF and 1.1% from the total market ETF. Education: Dividend yield is income relative to price and can supplement total return especially for income-oriented investors; however, yield alone doesn’t capture growth potential or payout sustainability. Recommendation: If steady income is a priority, increase allocation to higher‑yielding or dividend-growth strategies; if growth matters more, the current modest yield may be acceptable while focusing on capital appreciation.

Ongoing product costs Info

  • Invesco NASDAQ 100 ETF 0.15%
  • Schwab U.S. Dividend Equity ETF 0.06%
  • Vanguard Total Stock Market Index Fund ETF Shares 0.03%
  • Weighted costs total (per year) 0.07%

Observation: Total expense ratio (TER) for the portfolio is low at about 0.07% with individual ETF costs of 0.03%, 0.06%, and 0.15%. Education: TER, or Total Expense Ratio, measures annual fees as a percent of assets, like the cost of renting instead of owning; lower ongoing costs compound to materially improve long‑term returns. Positive alignment: The overall cost level is impressively low which supports net returns. Recommendation: Keep costs low but balance cost decisions with tracking accuracy and exposure fidelity; don’t chase lower fees if it materially changes the intended exposure.

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