A growth oriented US heavy portfolio with strong tech exposure and moderate diversification

Report created on Sep 17, 2024

Risk profile Info

4/7
Balanced
Less risk More risk

Diversification profile Info

3/5
Moderately Diversified
Less diversification More diversification

Positions

The portfolio is concentrated in three ETFs with a 60 20 20 split focused entirely on equities. This creates a simple structure dominated by broad US large caps supplemented by an active or specialized fund and a sector ETF. Observing composition against a balanced benchmark shows a clear overweight to equities and a single asset class approach rather than a multi‑class mix. That matters because asset mix is the primary driver of returns and risk over time. Recommendation: consider whether the simplicity is intentional and if adding non equity asset classes or broadening ETF types could better match your risk tolerance and long term goals.

Growth Info

A historical snapshot shows strong past performance with a reported CAGR of 24.96% and a maximum drawdown of −21.35%. CAGR or Compound Annual Growth Rate measures average yearly growth like an average speed over a road trip and helps compare returns across time. If a hypothetical $10,000 invested over the measured period grew at that CAGR it would have compounded substantially, outperforming many broad market reference points. However the max drawdown indicates meaningful episodic losses can occur. Recommendation: use past returns as context not a guarantee and ensure position sizing and liquidity needs tolerate such drawdowns.

Projection Info

A Monte Carlo simulation was run to illustrate potential future value ranges using historical return patterns and volatility. Monte Carlo simulates many possible future paths by randomizing returns based on past behavior to show percentiles such as the 5th 50th and 67th outcomes. These projections are helpful for scenario planning but have limits: they assume future return distributions resemble the past and cannot predict structural market shifts. Recommendation: use the simulated percentiles to set realistic expectations and stress test cash needs while remembering simulations supplement not replace judgment and planning.

Asset classes Info

  • Stocks
    100%

The portfolio is 100% stocks meaning there is no allocation to bonds cash or alternatives. Having a single asset class maximizes equity exposure which historically drives higher long term returns but also increases volatility and sequence of returns risk for nearer term liabilities. Comparing to a multi asset benchmark shows this is an aggressive tilt relative to balanced allocations. Recommendation: if the goal is to reduce volatility or protect capital consider introducing fixed income or cash buckets sized to your horizon and spending needs to smooth returns and improve resilience.

Sectors Info

  • Technology
    44%
  • Financials
    12%
  • Consumer Discretionary
    10%
  • Industrials
    8%
  • Telecommunications
    7%
  • Health Care
    6%
  • Energy
    4%
  • Consumer Staples
    4%
  • Basic Materials
    2%
  • Utilities
    2%
  • Real Estate
    1%

Sector breakdown shows a pronounced technology weight at about 44% with the remainder spread across financial services consumer cyclicals and others. A tech heavy portfolio can boost growth potential but also raises sensitivity to rate moves and cyclical shocks especially with a dedicated semiconductor ETF. Aligning sector weight with risk tolerance matters because concentrated sectors can amplify losses during sector specific downturns. Recommendation: evaluate whether the sector tilt is intentional and consider trimming the largest sector exposure or adding sector diversifiers to reduce concentration driven volatility.

Regions Info

  • North America
    89%
  • Europe Developed
    5%
  • Asia Developed
    3%
  • Japan
    1%
  • Asia Emerging
    1%

Geographic exposure is heavily tilted to North America at around 89% with limited developed international and emerging market presence. This strong home bias increases exposure to local economic cycles and currency outcomes and reduces the portfolio’s benefit from global diversification. Comparing to a market cap weighted global benchmark reveals an underweight to non North American markets. Recommendation: consider modest allocations to other regions or globally diversified funds to capture different growth drivers and lower single country concentration risk without substantially changing the overall growth orientation.

Market capitalization Info

  • Mega-cap
    39%
  • Large-cap
    36%
  • Mid-cap
    18%
  • Small-cap
    5%
  • Micro-cap
    2%

Market cap profile leans toward large companies with Mega and Big caps comprising around 75% and mid small micro making up the rest. Larger caps generally offer greater stability liquidity and dividend potential while smaller caps can provide higher growth but more volatility. This mix implies the portfolio favors stability within equities but retains some mid and small cap exposure for incremental growth. Recommendation: assess whether you want a slightly larger small cap sleeve for potential long term return enhancement or keep current weights for lower relative volatility within an equity only strategy.

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 compares different weightings among the current assets to find portfolios that offer the best risk return trade off given the same set of assets. The Efficient Frontier is a concept from mean variance optimization showing portfolios that maximize expected return for a given level of risk. Any optimization here would only shift weights between the three ETFs not add new asset classes. Recommendation: run a constrained optimization to identify more efficient weightings potentially reducing the semiconductor or broad cap weight to lower portfolio volatility while preserving expected return rather than seeking diversification that requires new asset types.

Dividends Info

  • American Century ETF Trust 2.00%
  • VanEck Semiconductor ETF 0.30%
  • Vanguard S&P 500 ETF 1.10%
  • Weighted yield (per year) 1.12%

Dividend yield across the portfolio is modest with a blended yield near 1.12% driven mainly by the American Century holding and the Vanguard ETF. Dividends contribute income and can stabilize returns during weak price performance but a low overall yield signals a growth focused orientation rather than an income strategy. For investors needing cash flow or lower volatility the dividend component can be increased with higher yield instruments. Recommendation: if income generation is a priority consider a targeted allocation to higher yield or income oriented funds while monitoring trade offs with growth potential and tax considerations.

Ongoing product costs Info

  • American Century ETF Trust 0.26%
  • VanEck Semiconductor ETF 0.35%
  • Vanguard S&P 500 ETF 0.03%
  • Weighted costs total (per year) 0.14%

Fund costs are generally low with the Vanguard position notably inexpensive while the other two ETFs carry higher expense ratios producing a blended Total Expense Ratio or TER near 0.14%. TER is the annual fee expressed as a percentage of assets and acts like a constant drag on returns over time similar to paying a small tax every year. Lower costs compound into higher net returns over decades so keeping fees minimal is beneficial. Recommendation: review whether the active or niche exposures justify higher fees or if lower cost alternatives offer similar exposures without eroding long term performance.

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