This portfolio is concentrated in four equity mutual funds, with a clear tilt toward one specialized holding. Around 45% sits in a semiconductor-focused fund, while 35% tracks a broad large-cap US index, and the remaining 20% covers international and extended US markets. This means most of the behavior is driven by a single theme, with broad index funds acting as a stabilizing backdrop. A structure like this blends targeted growth exposure with market-wide coverage. The concentrated top holding explains why performance and risk can look very different from a simple index portfolio, even though three of the four funds are diversified index strategies.
From late 2018 to April 2026, the $1,000 hypothetical investment grew to about $6,251, a compound annual growth rate (CAGR) of 27.47%. CAGR is the “average speed” of growth per year over the full period. This comfortably beat both the US and global market CAGRs, reflecting very strong historical upside. The flip side is a max drawdown of -38.29%, meaning the portfolio once fell that far from peak to trough before recovering. That’s a deep but not unusual setback for an aggressive, growth-tilted mix. Only 35 days generated 90% of total returns, showing that missing a handful of big days would have dramatically changed the outcome.
The Monte Carlo projection uses past return and volatility patterns to simulate many possible future paths, like running 1,000 alternate histories. It suggests a $1,000 investment could most likely grow to around $2,812 over 15 years, with a wide “middle band” from roughly $1,895 to $4,169. The full range of typical outcomes runs from just under your starting value to several times it. This highlights how an aggressive portfolio can still deliver negative real outcomes, even over long stretches. The average simulated annual return of 8.14% is far below the recent historical CAGR, underlining that the last few years were unusually strong and may not repeat.
All assets here are in stocks, with no bonds or cash-like holdings in the mix. That pure equity stance aligns with the aggressive risk classification and explains the higher volatility seen in past drawdowns. Stocks historically offer higher long-term return potential than safer assets, but they also move up and down more sharply, especially in stressed markets. With no stabilizing bond or cash component, any market shock is felt directly in the portfolio value. This structure maximizes participation in equity market trends and sector-specific surges, while giving up the cushioning effect that mixed-asset portfolios often provide during downturns.
Sector exposure is dominated by technology at around 60%, mainly driven by the semiconductor fund. Other sectors like financials, industrials, consumer areas, and health care hold much smaller slices, and more defensive sectors sit in the low single digits. Compared with a broad equity benchmark, this is a clear overweight to one high-growth, cyclical area. Tech-heavy mixes can benefit strongly when innovation and risk appetite are in favor, but they can also be more sensitive to interest rate changes, regulation, and sentiment shifts. The modest allocations to other sectors provide some balance, but they do not offset the central role of semiconductors and technology.
Geographically, the portfolio leans heavily on North America at about 80%, with only 20% spread across developed Europe, Japan, other developed Asia, emerging Asia, and smaller regions. Many global equity benchmarks have somewhat lower US weights and higher representation from the rest of the world, so this is a clear US tilt. That concentration has been beneficial in recent years, as US markets outperformed many peers. At the same time, it ties results closely to one economy, currency, and policy environment. The smaller slices in other regions still add diversification benefits, particularly during periods when non-US markets behave differently from the US.
Market capitalization exposure leans toward the very largest companies, with around 45% in mega-caps and 25% in large-caps. Mid-caps take a meaningful 23%, while small- and micro-caps together account for about 5%. This pattern is broadly similar to many mainstream equity indices, where the biggest firms dominate total market value. Large and mega-caps often provide more stability and liquidity, while mid- and small-caps can add growth potential and idiosyncratic risk. The mix here suggests that, although the portfolio is aggressive by sector and style, it is not heavily skewed toward tiny or highly speculative companies from a size perspective.
Factor exposure here shows mild tilts away from value, yield, and low volatility, with neutral readings for size, momentum, and quality. Factors are like investing “ingredients” that explain why portfolios behave the way they do. Low value exposure means holdings generally trade at higher valuations rather than being “cheap” on traditional metrics. Low yield suggests a focus on stocks that pay less in dividends and reinvest more into growth. Lower low-volatility exposure indicates a preference for stocks with bigger price swings. Combined with neutral momentum and quality, this paints a picture of a growth-oriented, more volatile profile rather than a steady, income-focused one.
Risk contribution data shows that the semiconductor fund, at 45% weight, drives about 63.64% of total portfolio volatility. Risk contribution measures each holding’s share of overall ups and downs, which can differ a lot from its simple percentage weight. Here, the risk/weight ratio of 1.41 signals that this fund is punchier than the rest. In contrast, the S&P 500 index fund is 35% of the portfolio but only 24.26% of risk, meaning it dampens overall volatility relative to its size. The top three holdings accounting for over 96% of risk underlines that portfolio behavior is heavily concentrated in a small number of positions.
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 analysis shows the current portfolio sitting on or very close to the frontier, meaning it’s using its existing holdings in an efficient way for its chosen risk level. The Sharpe ratio, which measures risk-adjusted return (return earned per unit of volatility), is 0.8 for the current mix. That’s lower than the optimal portfolio’s 0.99 but higher than the minimum-variance portfolio’s 0.55. The “optimal” version comes with significantly higher risk and return, while the minimum-variance version offers lower risk and lower return. This indicates that, without adding new funds, the present weights already strike a coherent tradeoff between risk and expected reward.
The total indicated dividend yield is about 5.88%, which is quite high for an equity-only, growth-tilted portfolio. Interestingly, this is driven largely by the semiconductor fund’s reported 11.30% yield, while the index funds sit closer to typical broad-market yields around 1–2%. Dividends matter because they can form a meaningful part of total return, especially when reinvested. At the same time, unusually high yields from a specific area can sometimes reflect one-off payments, special distributions, or cyclical profitability, which may not persist. For a portfolio like this, capital gains have historically been the bigger driver, with dividends acting as a helpful but potentially variable bonus.
The overall ongoing cost, or total expense ratio (TER), works out to about 0.29% per year, with the semiconductor fund charging 0.62% and the main index fund just 0.02%. TER is the annual fee taken by the funds to cover management and operations, and it quietly reduces returns over time. Here, the blended fee level is relatively low for an active plus index mix, which is supportive of long-term performance. The higher fee on the specialist fund reflects its active, concentrated strategy, while the index funds keep costs anchored. This cost structure is a strength: it allows the portfolio to pursue growth without being overly weighed down by fees.
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