Balanced income and growth portfolio with heavy high yield bond exposure and US mega cap tilt

Report created on Nov 16, 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 combines 60% equities and 40% fixed income delivered via three ETFs with a clear split: two equity ETFs totaling 60% and a broad US high yield corporate bond ETF at 40%. This structure resembles a classic balanced approach but substitutes traditional investment grade bonds with higher yielding credit which increases income but also credit risk. Because benchmark balanced portfolios typically mix government and investment grade bonds for stability, the current composition raises concentrated credit exposure. Consider modest reallocation within the fixed income sleeve and incremental additions to other equity segments to improve risk distribution while preserving targeted return.

Growth Info

Historic metrics show a compound annual growth rate (CAGR) of 12.8% and a maximum drawdown of -29.22%. CAGR, or Compound Annual Growth Rate, measures average annual growth like the steady speed of a car over a long trip. For example a $10,000 hypothetical starting amount growing at 12.8% annually for ten years would grow to roughly $33,600. The drawdown figure signals meaningful volatility during stress periods. While past returns indicate strong performance, they are not guarantees of future results and should be viewed alongside risk metrics when assessing suitability and expectations.

Projection Info

A Monte Carlo simulation with 1,000 runs projects varied outcomes based on historical volatility and correlations. Monte Carlo uses random sampling to estimate a range of possible ending portfolio values and helps illustrate probability of outcomes under many scenarios. Key percentiles show a 5th percentile around 96.3% and median about 463%, meaning outcomes span widely and most simulations were positive. Simulations rely on historical inputs and assumptions so they inform planning not certainty. Use these projections to set realistic goals and stress-test scenarios but avoid overreliance on precise percentiles when making allocation decisions.

Asset classes Info

  • Stocks
    60%
  • Bonds
    40%

The 60% stock and 40% bond split matches many balanced frameworks but the bond sleeve’s concentration in high yield shifts the portfolio’s risk profile toward credit and liquidity sensitivity. Asset class diversification matters because different classes respond differently to economic cycles, cushioning overall volatility when mixed. Here the equity allocation lacks meaningful exposure to smaller caps and emerging market equities which could complement returns. Recommendation: maintain the balanced stock/bond philosophy while broadening within each class — add higher quality or shorter duration bonds and consider a modest allocation to other equity areas to capture diversification benefits.

Sectors Info

  • Technology
    28%
  • Telecommunications
    7%
  • Consumer Discretionary
    7%
  • Financials
    6%
  • Health Care
    4%
  • Industrials
    3%
  • Consumer Staples
    2%
  • Real Estate
    1%
  • Energy
    1%
  • Utilities
    1%
  • Basic Materials
    1%

Sector exposure is skewed toward technology at roughly 28% with smaller weights across communication services consumer cyclicals and financials. A heavy technology tilt can boost returns in secular growth phases but typically increases volatility especially during rising interest rate cycles. The rest of the portfolio’s sector mix broadly aligns with common market compositions which helps maintain diversification, though the tech concentration is notable. Consider trimming or periodically rebalancing the largest sector tilt if the objective is to reduce volatility or sector-specific risk while keeping a core growth orientation that benefits from innovation led earnings.

Regions Info

  • North America
    63%
  • Europe Developed
    37%

Geographic allocation shows North America at 63% and developed Europe at 37% with negligible emerging market exposure. Geography affects diversification because different economies and policy regimes perform unevenly across cycles. A concentrated exposure to developed markets reduces currency and geopolitical diversity which can increase sensitivity to region specific shocks. If the goal is broader diversification consider a modest allocation to emerging markets or other regions to capture different growth drivers and reduce home market concentration. Balancing regional weights can smooth returns over varying global economic conditions.

Market capitalization Info

  • Mega-cap
    34%
  • Large-cap
    18%
  • Mid-cap
    7%

Market capitalization tilt favors mega caps at 34% with big caps at 18% and mid caps at 7% while small and micro caps are absent. Mega caps often offer lower volatility and strong balance sheets but can concentrate returns in a handful of firms, which reduces breadth and potential upside from smaller faster growing companies. Adding some mid or small cap exposure can enhance diversification and capture different return drivers, though it will typically increase short term volatility. Consider a measured increase to mid or small cap allocations if the objective includes capturing broader market growth and return premia.

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 identifies portfolios that offer the highest expected return for a given level of risk using mean variance principles. This process can be applied to the current asset set to find a more efficient mix but only reallocates among existing assets rather than introducing new instruments. Efficiency here means a better risk return ratio not necessarily broader diversification or specific goals like income. Optimization results depend on return and risk estimates and are sensitive to input assumptions and constraints, so run scenarios and incorporate practical limits such as credit quality bounds before implementing any optimized weights.

Dividends Info

  • Vanguard Mega Cap Growth Index Fund ETF Shares 0.40%
  • iShares Broad USD High Yield Corporate Bond ETF 6.80%
  • Vanguard S&P 500 ETF 1.10%
  • Weighted yield (per year) 3.20%

The portfolio’s blended yield is about 3.2% driven largely by high yield bonds at 6.8% while equity yields are modest at 0.4% and 1.1%. Dividend yield and bond interest contribute to total return and cash flow which can be useful for income oriented objectives or to reinvest for compounding. High yields are attractive but may reflect higher underlying credit or sustainability risk. If consistent cash flow is a priority consider balancing yield with quality by blending income sources — keeping some higher yield exposure while introducing more sustainable dividend payers or higher quality bond allocations to reduce default and payout volatility.

Ongoing product costs Info

  • Vanguard Mega Cap Growth Index Fund ETF Shares 0.07%
  • iShares Broad USD High Yield Corporate Bond ETF 0.08%
  • Vanguard S&P 500 ETF 0.03%
  • Weighted costs total (per year) 0.06%

The fund expense ratios are low with the combined total expense ratio around 0.06% which is a clear strength. TER, or Total Expense Ratio, shows the annual cost of owning funds including management fees and operating expenses much like the running cost of a vehicle. Low costs compound into meaningful savings over decades so this alignment with low fee benchmarks supports better long term net returns. Recommendation: preserve low cost exposure while watching for tax inefficiencies or trading costs. Small reductions in ongoing fees tend to have an outsized effect on final portfolio value over long horizons.

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