Growth focused global equity portfolio with strong technology tilt and short but powerful recent performance
Report created on May 7, 2026Risk profile
5/7
Diversification profile
3/5
Positions
-
VT Vanguard Total Stock Market Index Fund ETF Shares
VTI - US9229087690 60.82% -
VX Vanguard Total International Stock Index Fund ETF Shares
VXUS - US9219097683 20.15% -
SM VanEck Semiconductor ETF
SMH - US92189F6768 14.78% -
NV NVIDIA Corporation
NVDA - US67066G1040 2.79% -
SI Sionna Therapeutics, Inc. Common Stock
SION - US8294011080 1.46%
This portfolio is a simple, stock-only mix built from three broad equity ETFs plus two single stocks. Most of the weight sits in a total US market fund, with a smaller slice in a total international fund and a concentrated position in a semiconductor ETF. The two individual stocks are small in weight but still noticeable. Structurally, this is a straightforward growth-oriented equity portfolio rather than a blend of stocks and bonds. With only about 1.2 years of history, the behaviour observed so far reflects a very short and especially strong market phase, so it’s too early to treat these patterns as “normal” or stable over a full market cycle.
Growth
Over the 1.2‑year period, $1,000 grew to about $1,389, implying a compound annual growth rate (CAGR) of 30.62%. CAGR is like average speed on a road trip, smoothing the bumps along the way. That number is much higher than the US and global market benchmarks over the same window, which is a notable outperformance. The portfolio also experienced a max drawdown of around ‑20%, similar in depth to the benchmarks but followed by a strong rebound. With only nine days driving 90% of returns and such a short timeframe, this performance says more about a very favourable recent tech-driven run than about long-term expectations.
Projection
The Monte Carlo projection uses the limited historical data to simulate many possible 15‑year return paths, like running thousands of “what if” futures. Based on this short history, the median scenario grows $1,000 to about $2,822, with a wide typical range from roughly $1,839 to $4,405. The model estimates an 8.31% average annualized return and a 75% chance of ending positive. Because the input period is only 1.2 years and unusually strong, these numbers likely lean optimistic. Monte Carlo is helpful for visualising uncertainty, but here it mostly shows how sensitive long‑term projections are when they’re anchored on a brief, tech-heavy bull phase.
Asset classes
- Stocks 100%
All of this portfolio is in stocks, with 0% in bonds, cash, or other asset classes. That creates a clear growth orientation: stock-heavy portfolios usually rise and fall more than mixed stock‑bond blends. Equities historically have offered higher long-term returns than bonds, but with larger short-term swings. With no ballast from more defensive assets, the portfolio’s value is tied closely to global equity markets. Over only 1.2 years, that’s delivered strong gains, but the same 100% stock exposure can translate into deeper and longer drawdowns in less favourable periods, which this limited dataset has not fully captured yet.
Sectors
- Technology 40%
- Financials 12%
- Industrials 9%
- Health Care 9%
- Consumer Discretionary 8%
- Telecommunications 7%
- Consumer Staples 4%
- Energy 4%
- Basic Materials 3%
- Utilities 2%
- Real Estate 2%
Sector exposure is heavily tilted toward technology at 40%, far above what you’d see in a broad global index, mainly due to the dedicated semiconductor ETF. Other sectors like financials, industrials, health care, and consumer areas are present in smaller, more typical weights, giving some balance. Sector allocations matter because different parts of the economy react differently to interest rates, innovation cycles, and recessions. Tech-heavy mixes often benefit in periods of low rates and rapid innovation but can be hit harder when growth expectations cool. With only 1.2 years of data, the strong returns mostly reflect a particularly favourable window for technology and semiconductors.
Regions
- North America 79%
- Europe Developed 8%
- Asia Developed 5%
- Japan 3%
- Asia Emerging 3%
- Australasia 1%
- Africa/Middle East 1%
- Latin America 1%
Geographically, about 79% of the equity exposure is in North America, which is higher than many global benchmarks that typically have a lower US share. The rest is spread across developed Europe, Asia, Japan, and small slices in emerging regions and other areas. Geographic mix matters because economic growth, inflation, and currency moves differ across regions. A North America tilt has worked well over the recent period and helped drive the strong 1.2‑year results, especially with large US tech names. But this short history doesn’t show how the portfolio might behave if leadership shifted away from North America or if currency swings became more pronounced.
Market capitalization
- Mega-cap 44%
- Large-cap 31%
- Mid-cap 16%
- Small-cap 6%
- Micro-cap 1%
By market capitalization, the portfolio leans strongly into mega‑ and large‑cap companies, which together make up about 75% of exposure. Mid‑caps add another 16%, with small‑ and micro‑caps playing only a minor role. Market-cap mix affects how a portfolio responds to different phases of the cycle: bigger companies often bring more stability and liquidity, while smaller firms can be more volatile but sometimes faster-growing. The strong 1.2‑year performance has largely come during a period when mega‑cap growth and tech stocks have dominated returns, so this cap structure has been a tailwind. It doesn’t necessarily tell you how the same mix would behave in a small‑cap‑led market.
True holdings
-
Part of fund(s):
- VanEck Semiconductor ETF
- Vanguard Total Stock Market Index Fund ETF Shares
-
AA Apple Inc 3.60%
Part of fund(s):- Vanguard Total Stock Market Index Fund ETF Shares
-
MS Microsoft Corporation 2.66%
Part of fund(s):- Vanguard Total Stock Market Index Fund ETF Shares
-
AV Broadcom Inc 2.60%
Part of fund(s):- VanEck Semiconductor ETF
- Vanguard Total Stock Market Index Fund ETF Shares
-
AM Amazon.com Inc 1.95%
Part of fund(s):- Vanguard Total Stock Market Index Fund ETF Shares
-
GO Alphabet Inc Class A 1.62%
Part of fund(s):- Vanguard Total Stock Market Index Fund ETF Shares
-
TS Taiwan Semiconductor Manufacturing 1.55%
Part of fund(s):- VanEck Semiconductor ETF
-
-
GO Alphabet Inc Class C 1.28%
Part of fund(s):- Vanguard Total Stock Market Index Fund ETF Shares
-
ME Meta Platforms Inc. 1.21%
Part of fund(s):- Vanguard Total Stock Market Index Fund ETF Shares
- Top 10 total 27.09%
Looking through the ETFs’ top holdings, NVIDIA stands out with a total exposure of about 9.17%, combining direct stock ownership with ETF exposure. Other large positions via ETFs include Apple, Microsoft, Broadcom, Amazon, Alphabet, TSMC, and Meta. This shows that a handful of big global tech and platform companies are key drivers, even though you only directly hold two single stocks. Overlap analysis is based only on ETF top‑10s, so overall concentration is likely understated. With just 1.2 years of data — a period when these names performed exceptionally well — it’s important to see the strong returns as partly the result of this hidden clustering.
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 shows a clear tilt away from value (27%) and size (20%), meaning a preference for growthier, larger companies relative to a neutral market style. There’s also a notable tilt toward quality at 67%, which means the holdings, on average, score well on things like profitability and balance-sheet strength. Momentum, yield, and low volatility are all roughly neutral, so they behave more like the broad market on those dimensions. Factor investing is about these underlying “ingredients” of return. Over the short 1.2‑year window, the combo of quality and growth-oriented large caps has aligned well with market leadership, but factor relationships can look very different over longer cycles.
Risk contribution
-
Vanguard Total Stock Market Index Fund ETF Shares
Weight: 60.82% 54.5% -
VanEck Semiconductor ETF
Weight: 14.78% 24.8% -
Vanguard Total International Stock Index Fund ETF Shares
Weight: 20.15% 14.5% -
NVIDIA Corporation
Weight: 2.79% 4.7% -
Sionna Therapeutics, Inc. Common Stock
Weight: 1.46% 1.5%
Risk contribution shows how much each position drives the portfolio’s ups and downs, not just how big it is. The broad US ETF is about 61% of the weight but around 55% of the risk, so it behaves roughly in line with its size. The semiconductor ETF and NVIDIA are different: together they’re roughly 17.5% of the weight but contribute almost 30% of total risk, reflecting higher volatility. The top three holdings account for nearly 94% of portfolio risk overall. With only 1.2 years of data, this pattern is based on a single environment, but it still highlights that most day‑to‑day movement comes from a small core dominated by US and chip-related exposure.
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 risk–return chart shows the current mix sitting below the efficient frontier by about 12.1 percentage points at its risk level. The efficient frontier represents the best expected return for each volatility level using only these existing holdings in different weights. Sharpe ratio, which measures return per unit of risk, is 1.19 for the current portfolio versus 1.43 for the minimum-variance mix and 2.01 for the max-Sharpe mix. That suggests the same ingredients could have been combined more efficiently over this short period. Because the analysis window is just 1.2 years and unusually strong for tech, these optimization numbers are informative but shouldn’t be treated as a long‑term rulebook.
Dividends
- VanEck Semiconductor ETF 0.20%
- Vanguard Total Stock Market Index Fund ETF Shares 1.00%
- Vanguard Total International Stock Index Fund ETF Shares 2.70%
- Weighted yield (per year) 1.18%
The overall dividend yield of about 1.18% is modest, with the highest yield coming from the international equity ETF at 2.70%. The US total market ETF adds around 1.00%, while the semiconductor ETF yields only 0.20%, reflecting its growth tilt. Dividends are the cash payments companies distribute from profits, and over long horizons they can be a meaningful part of total return. In this portfolio, recent gains have been driven much more by price appreciation than by income. Given the short 1.2‑year history and the growth orientation, the yield picture mainly confirms that the focus here is capital growth rather than building a strong ongoing cash payout stream.
Ongoing product costs
- VanEck Semiconductor ETF 0.35%
- Vanguard Total Stock Market Index Fund ETF Shares 0.03%
- Vanguard Total International Stock Index Fund ETF Shares 0.05%
- Weighted costs total (per year) 0.08%
Costs are low, with a total expense ratio (TER) of about 0.08% across the ETF holdings. TER is the annual fee charged by funds as a percentage of invested assets. Keeping this number low helps more of the portfolio’s return stay in your pocket over time, and this level is impressively low compared with many active strategies. Over decades, even small fee differences can compound into noticeable amounts. With only 1.2 years of data, cost hasn’t yet had time to visibly shape outcomes, but structurally the fee drag is minimal. This provides a solid foundation where performance is driven mainly by market behaviour and portfolio design, not by high ongoing charges.
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