Concentrated growth portfolio with strong mega cap bias and standout historic returns but notable risk focus
Report created on Sep 10, 2026Risk profile
5/7
Diversification profile
3/5
Positions
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VO Vanguard S&P 500 ETF
VOO - US9229083632 24.87% -
TS Taiwan Semiconductor Manufacturing
TSM - US8740391003 15.85% -
BA Bank of America Corp
BAC - US0605051046 12.04% -
JP JPMorgan Chase & Co
JPM - US46625H1005 10.23% -
AS ASML Holding NV
ASMLF - NL0010273215 9.93% -
ME Meta Platforms Inc.
META - US30303M1027 9.33% -
IB Interactive Brokers Group Inc
IBKR - US45841N1072 4.31% -
MU Micron Technology Inc
MU - US5951121038 3.91% -
UN UnitedHealth Group Incorporated
UNH - US91324P1021 3.81% -
AV Broadcom Inc
AVGO - US11135F1012 3.51% -
LL Eli Lilly and Company
LLY - US5324571083 2.21%
This portfolio is tightly focused, holding one broad US index ETF alongside ten individual stocks. The ETF anchors about a quarter of the value, while the rest sits in relatively large single-company positions, with three names alone making up almost 40%. This structure leans more toward a concentrated stock-picking setup than a diversified fund mix. That kind of focus makes the overall behaviour very dependent on a handful of companies. When those companies do well, performance can look spectacular; when they struggle, the whole portfolio can move sharply. This allocation is intentionally growth-tilted, and the design trades broad diversification for higher potential impact from each holding.
Growth
Historically, the portfolio has been extremely strong, turning $1,000 into about $11,982 over ten years. That works out to a 31.27% compound annual growth rate (CAGR), versus 16.96% for the US market and 14.04% for the global market. CAGR is like average speed on a road trip, smoothing out the bumps. The portfolio also saw a -38.88% max drawdown, slightly deeper than the benchmarks’ roughly -34% falls. It took nine months to bottom and fifteen months to recover, showing it can endure and then rebound from big setbacks. Only 57 days produced 90% of the returns, underlining how missing a few strong days could have made the history look very different.
Projection
The Monte Carlo projection uses past return and volatility patterns to simulate 1,000 different 15‑year futures for the same portfolio. Think of it as running many “what if” market paths using dice weighted by historical data. The median outcome grows $1,000 to about $2,761, with a likely middle band from roughly $1,838 to $4,195. Extreme but still plausible paths range from around $959 to $7,826. Across all simulations, the average annualised return is 8.17%, and about 75% of paths end positive. These are not promises; they’re statistical illustrations. Markets can behave very differently from the past, so the projection is best seen as a rough risk–reward map, not a precise forecast.
Asset classes
- Stocks 100%
All of the portfolio is in stocks, with 100% allocated to equities and no exposure to bonds, cash-like instruments, or alternatives. That makes the growth potential high but also means there’s no built‑in buffer from traditionally steadier asset classes during market stress. Relative to common multi‑asset benchmarks that blend stocks and bonds, this is a deliberately aggressive stance. In calm or rising markets, a pure‑equity mix can compound quickly, as the history here shows. In sharp downturns, though, there’s nothing to cushion the fall, so drawdowns can be deeper and recoveries more emotionally demanding. Structurally, this portfolio is clearly positioned toward return over stability.
Sectors
- Technology 43%
- Financials 30%
- Telecommunications 12%
- Health Care 8%
- Consumer Discretionary 2%
- Industrials 2%
- Consumer Staples 1%
- Energy 1%
- Utilities 1%
Sector-wise, the portfolio is heavily tilted toward technology at 43%, with financials also large at 30%. Telecommunications at 12% reflects exposure to a major digital platform, while healthcare sits at 8%, and the remaining sectors are each only 1–2%. Compared with broad global or US equity benchmarks, this is a clear overweight to tech and financials and an underweight in areas like consumer staples, utilities, and energy. Tech‑heavy allocations often perform strongly in innovation‑driven or low‑rate environments but can be more volatile when interest rates rise or sentiment turns against growth. The financials weight adds another cyclical layer tied closely to the economic and credit environment.
Regions
- North America 74%
- Asia Emerging 16%
- Europe Developed 10%
Geographically, about 74% of the portfolio is tied to North America, 16% to emerging Asia, and 10% to developed Europe. That’s a strong US‑centric tilt, a bit more concentrated than global market indices, which usually give a larger share to non‑US regions overall. The standout non‑US exposure is a significant position in a leading Taiwanese chipmaker and a major European technology firm. This mix links the portfolio to both US economic cycles and global semiconductor and export dynamics. While the regional spread does extend beyond one market, the dominance of North America means portfolio behaviour will still track US equity conditions closely in many scenarios.
Market capitalization
- Mega-cap 82%
- Large-cap 13%
- Mid-cap 5%
The market‑cap breakdown shows a clear preference for very large companies: about 82% in mega caps, 13% in large caps, and only 5% in mid caps. Mega caps are the biggest, most established firms, often with long track records and deep liquidity. That can help with trading ease and sometimes slightly lower company‑specific risk compared with smaller stocks. However, it also means less exposure to the more volatile but sometimes faster‑growing small‑cap space. Relative to a global equity market, this tilt lines up fairly well with the reality that mega caps dominate total market value. So while the portfolio is concentrated by names, it is mostly riding very large, globally significant businesses.
True holdings
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Part of fund(s):
- Vanguard S&P 500 ETF
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Part of fund(s):
- Vanguard S&P 500 ETF
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Part of fund(s):
- Vanguard S&P 500 ETF
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- Top 10 total 76.68%
The look‑through view shows that the direct stock picks largely define the portfolio, with the S&P 500 ETF adding only modest overlap. Taiwan Semiconductor, Bank of America, and ASML are held only directly and are each big positions. Meta, JPMorgan, and Broadcom appear both as individual holdings and inside the ETF, bumping up their true total weights to 9–11% ranges. This kind of overlap increases hidden concentration: a company might look like a 9% stake from the direct line but actually represent closer to 10% once ETF exposure is included. Because only the ETF’s top‑10 are counted, real overlap across the full index may be slightly higher than shown.
Factors
Factor exposures are estimated using statistical models based on historical data and measure systematic (market-relative) tilts, not absolute portfolio characteristics. Results may vary depending on the analysis period, data availability, and currency of the underlying assets.
Factor analysis highlights two notable tilts: very low exposure to the size factor and high exposure to both momentum and quality. “Size” in this context means smaller companies; a very low score (15%) indicates a strong lean away from small caps and toward big, established firms. High momentum (66%) suggests holdings that have performed well recently, which tends to help in trending bull markets but can amplify reversals when trends break. High quality (67%) points toward companies with stronger balance sheets or profitability metrics. Factor exposure is like seeing the flavour profile under the surface; this mix suggests large, solid businesses that have recently been winning in the market.
Risk contribution
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Taiwan Semiconductor Manufacturing
Weight: 15.85% 19.5% -
Vanguard S&P 500 ETF
Weight: 24.87% 18.7% -
ASML Holding NV
Weight: 9.93% 12.1% -
Bank of America Corp
Weight: 12.04% 11.8% -
Meta Platforms Inc.
Weight: 9.33% 10.7% - Top 5 risk contribution 72.9%
Risk contribution data shows that the top three positions—Taiwan Semiconductor, the S&P 500 ETF, and ASML—account for about 50% of overall portfolio volatility. Taiwan Semiconductor’s 15.85% weight generates 19.49% of the risk, with a risk‑to‑weight ratio of 1.23, meaning it’s slightly more volatile than its size alone would imply. ASML and Meta also contribute more risk than their weights. In contrast, the S&P 500 ETF carries almost a quarter of the portfolio but only around 18.7% of risk, with a ratio below 1, acting as a relative stabiliser. This pattern shows how individual, more volatile stocks punch above their weight in driving day‑to‑day ups and downs.
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 analysis compares the current mix to other possible weightings using the same holdings. The portfolio’s Sharpe ratio—return per unit of risk—is 1.09, with a very high historical return of 29.14% and volatility of 22.99%. The optimal mix on this frontier has a Sharpe of 1.57, somewhat higher risk (24.95%), and a much higher return of 40.24%, while the minimum‑variance mix lowers risk to 18.19% with a Sharpe of 1.03. The current portfolio sits about 7.91 percentage points below the frontier at its risk level, meaning the historical data suggests that simply reweighting these same holdings could have achieved better risk‑adjusted results without adding new assets.
Dividends
- ASML Holding NV 0.60%
- Broadcom Inc 0.70%
- Bank of America Corp 1.30%
- Interactive Brokers Group Inc 0.30%
- JPMorgan Chase & Co 1.70%
- Eli Lilly and Company 0.60%
- Meta Platforms Inc. 0.30%
- Micron Technology Inc 0.10%
- Taiwan Semiconductor Manufacturing 0.70%
- UnitedHealth Group Incorporated 2.30%
- Vanguard S&P 500 ETF 1.00%
- Weighted yield (per year) 0.92%
The total dividend yield of the portfolio is relatively low at 0.92%, with most positions yielding between 0.1% and around 2.3%. Dividends are cash payments from companies to shareholders and can be an important part of long‑term returns, especially in income‑focused strategies. Here, the emphasis is more on capital growth than cash payout. Some holdings, like UnitedHealth and JPMorgan, provide slightly higher yields, but the heavy allocations to growth‑oriented tech and communication names pull the overall yield down. This profile is consistent with a growth‑biased equity mix where return expectations lean more on price appreciation than on regular income distributions.
Ongoing product costs
- Vanguard S&P 500 ETF 0.03%
- Weighted costs total (per year) 0.01%
Portfolio costs are impressively low. The only fund, the Vanguard S&P 500 ETF, has a total expense ratio (TER) of 0.03%, and the overall blended TER lands at just 0.01%. TER is the annual fee charged by a fund, expressed as a percentage of the amount invested. With most of the portfolio in direct stocks, there are no ongoing management fees on those positions. Low costs help more of any return stay in the investor’s pocket and compound over time. This fee level is meaningfully below many actively managed products and aligns well with best practices for keeping structural drag on performance to a minimum.
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