Highly concentrated global growth portfolio with strong tech tilt and impressive but volatile past performance
Report created on Jun 2, 2026Risk profile
6/7
Diversification profile
3/5
Positions
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IO iShares Global 100 ETF
IOO - US4642875722 72.22% -
IE iShares Core MSCI Emerging Markets ETF
IEMG - US46434G1031 16.67% -
NV NVIDIA Corporation
NVDA - US67066G1040 6.67% -
IB International Business Machines
IBM - US4592001014 4.44%
This portfolio is compact, with four holdings and a clear growth focus. Around 72% sits in a global large‑cap equity ETF, about 17% in an emerging‑markets ETF, and the rest in two individual stocks. Everything is in stocks, so there is no built‑in cushion from bonds or cash. A structure like this makes the portfolio easy to follow and manage, but it also means that a few positions drive most of the behavior. With two broad funds providing the bulk of exposure and two single‑stock overlays, the design leans on global blue chips while adding targeted company‑specific risk on top.
Growth
One or more local-currency benchmark funds are unavailable for this report.
Historically, performance has been exceptionally strong: a $1,000 investment grew to about $17,185 over ten years, implying a 33% compound annual growth rate (CAGR). CAGR measures the “average yearly speed” of growth over the full period. This comfortably beat the global equity benchmark’s 12.81% CAGR. The trade‑off was a deep maximum drawdown of about ‑43%, vs roughly ‑34% for the global market. A drawdown is the peak‑to‑trough fall; here it took 11 months down and 7 months to recover, underlining that big gains came with significant and prolonged volatility.
Projection
The Monte Carlo projection uses the portfolio’s historical ups and downs to simulate many possible 15‑year paths. It’s like running 1,000 alternate futures based on past volatility and returns, then seeing the range of outcomes. The median scenario grows $1,000 to about $2,763, with a “middle” range of roughly $1,745–$4,273 and a wider 5–95% range of $948–$8,083. The average simulated annual return is 8.1%, well below the historical 33%, which is a conservative step. These simulations are just statistical what‑ifs; they cannot foresee regime changes, crashes, or unusually strong bull runs.
Asset classes
- Stocks 100%
Asset‑class exposure is simple: 100% in equities. That creates a clean, high‑beta profile where returns are strongly tied to global stock markets. Without bonds, real assets, or cash, there is no structural ballast to soften equity bear markets or provide income stability. This kind of all‑equity mix tends to amplify both good and bad years. Compared with more mixed‑asset portfolios, the trade‑off is higher volatility and larger drawdowns in exchange for higher long‑run growth potential if equities continue to deliver a return premium over other asset classes.
Sectors
- Technology 51%
- Financials 9%
- Telecommunications 9%
- Consumer Discretionary 8%
- Health Care 7%
- Industrials 5%
- Consumer Staples 5%
- Energy 3%
- Basic Materials 2%
- Utilities 1%
Sector allocation is heavily tilted toward technology at 51%, with the rest spread across financials, telecom, consumer sectors, health care, industrials, energy, and others. A tech share above half is notably higher than broad market indices, which generally have a smaller tech weight. High tech exposure often benefits from innovation and earnings growth but can react sharply to changes in interest rates, regulation, or sentiment. Because other sectors each hold single‑digit weights, their influence on returns is secondary. This strong tech skew is a central driver of both the portfolio’s past outperformance and its risk profile.
Regions
- North America 69%
- Europe Developed 10%
- Asia Developed 10%
- Asia Emerging 6%
- Africa/Middle East 1%
- Japan 1%
- Latin America 1%
Geographically, the portfolio is dominated by North America at 69%, with developed Europe and developed Asia each around 10%, and smaller slices in emerging Asia and other regions. This is broadly aligned with many global benchmarks, which are also heavily North‑America‑weighted, and that alignment is helpful for diversification across major economies. The additional 6% in Asia emerging through the ETF adds some exposure to faster‑growing markets, though it is still a minority share. Overall, this global spread reduces dependence on any single non‑US region, but the US and broader North America remain the main engine.
Market capitalization
- Mega-cap 76%
- Large-cap 19%
- Mid-cap 3%
Market‑cap exposure is very skewed to the largest companies: about 76% in mega‑caps, 19% in large‑caps, and only 3% in mid‑caps. Mega‑caps are the world’s biggest firms, often with diversified businesses and strong balance sheets, which can be stabilizing compared with smaller, more speculative names. At the same time, such heavy concentration among giants means the portfolio’s fate is closely tied to a relatively small group of global leaders. Because mid‑ and small‑caps are barely present, the portfolio takes on less “size” risk but also captures less of the potential small‑company growth premium.
True holdings
-
Part of fund(s):
- iShares Global 100 ETF
-
AA Apple Inc 8.02%
Part of fund(s):- iShares Global 100 ETF
-
MS Microsoft Corporation 5.85%
Part of fund(s):- iShares Global 100 ETF
-
AM Amazon.com Inc 4.63%
Part of fund(s):- iShares Global 100 ETF
-
-
GO Alphabet Inc Class A 3.88%
Part of fund(s):- iShares Global 100 ETF
-
AV Broadcom Inc 3.71%
Part of fund(s):- iShares Global 100 ETF
-
GO Alphabet Inc Class C 3.08%
Part of fund(s):- iShares Global 100 ETF
-
00 Samsung Electronics Co Ltd 2.97%
Part of fund(s):- iShares Core MSCI Emerging Markets ETF
- iShares Global 100 ETF
-
23 Taiwan Semiconductor Manufacturing Co. Ltd. 2.15%
Part of fund(s):- iShares Core MSCI Emerging Markets ETF
- Top 10 total 54.39%
Looking through the ETFs, a few individual companies appear as substantial underlying exposures. NVIDIA stands out with a total weight of about 15.65%, combining a direct position and ETF holdings. Apple, Microsoft, Amazon, Alphabet, Broadcom, Samsung, and TSMC all appear via ETFs, each adding meaningful slices. This overlap means that while you technically own two funds plus two single stocks, the economic exposure is concentrated in a cluster of large global tech and platform companies. Because only ETF top‑10 holdings are visible, actual overlap may be somewhat higher than shown, reinforcing this hidden concentration.
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 exposure is fairly balanced with a few mild tilts. Value, momentum, and low‑volatility readings sit near neutral, implying market‑like behavior on those dimensions. Size shows a low score, consistent with the dominance of mega‑ and large‑caps rather than smaller companies. Quality scores high at 61%, suggesting an emphasis on firms with strong profitability and balance sheets; this often helps in downturns and can support steady compounding. Yield is low at 37%, reflecting the growth and tech tilt rather than an income focus. Overall, factor positioning leans toward high‑quality growth, not deep value or high dividend.
Risk contribution
-
iShares Global 100 ETF
Weight: 72.22% 68.0% -
iShares Core MSCI Emerging Markets ETF
Weight: 16.67% 15.1% -
NVIDIA Corporation
Weight: 6.67% 13.4% -
International Business Machines
Weight: 4.44% 3.5%
Risk contribution shows how much each holding drives overall ups and downs. The global 100 ETF weighs 72% and contributes about 68% of risk, roughly proportional. The emerging‑markets ETF at 17% weight adds about 15% of risk, also close to its size. NVIDIA is the standout: only 6.67% of the portfolio but contributing 13.36% of total risk, with a risk‑to‑weight ratio of 2. That means its volatility and correlations make it a key swing factor. The top three holdings together account for roughly 96% of total risk, underscoring how concentrated the portfolio’s risk really is.
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.
On the efficient frontier chart, this portfolio sits on or very close to the frontier, which means that, given these exact holdings, the current mix achieves an efficient balance of risk and return. The Sharpe ratio, which compares excess return to volatility, is 0.83 for the current allocation, similar to the minimum‑variance mix at 0.85. The maximum‑Sharpe portfolio has a higher Sharpe of 1.31 but also much higher risk and return, implying more extreme swings. The alignment with the frontier is a positive sign: within this specific set of assets, the weighting is already doing good work.
Dividends
- International Business Machines 1.60%
- iShares Core MSCI Emerging Markets ETF 2.20%
- iShares Global 100 ETF 0.80%
- Weighted yield (per year) 1.02%
Dividend yield for the portfolio is modest at about 1.02%. The emerging‑markets ETF offers a higher yield around 2.2%, and IBM provides 1.6%, while the global 100 ETF yields roughly 0.8%. A low overall yield fits with the growth and tech‑heavy profile, where more of the return is expected to come from price appreciation rather than cash payouts. For investors who care about total return, dividends are one component; for those focused on income, a 1% yield means most cash flows would need to come from selling shares rather than relying on regular distributions.
Ongoing product costs
- iShares Core MSCI Emerging Markets ETF 0.09%
- iShares Global 100 ETF 0.41%
- Weighted costs total (per year) 0.31%
Total ongoing fund costs, measured by Total Expense Ratio (TER), come to about 0.31% per year, combining 0.41% for the global 100 ETF and 0.09% for the emerging‑markets ETF. Individual stocks do not carry ongoing TERs. A blended TER around 0.3% is reasonably low for branded global and emerging‑markets exposure and supports better long‑term compounding because less return is lost to fees each year. Over long periods, even a few tenths of a percent annually can add up, so this cost structure is a solid foundation and aligns well with cost‑conscious portfolio design principles.
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