Highly concentrated growth portfolio with exceptional past returns and elevated technology driven risk
Report created on Apr 15, 2026Risk profile
6/7
Diversification profile
2/5
Positions
-
MS Microsoft Corporation
MSFT - US5949181045 40.00% -
NV NVIDIA Corporation
NVDA - US67066G1040 20.00% -
VO Vanguard S&P 500 ETF
VOO - US9229083632 20.00% -
SC Schwab U.S. Large-Cap Growth ETF
SCHG - US8085243009 10.00% -
VX Vanguard Total International Stock Index Fund ETF Shares
VXUS - US9219097683 10.00%
This portfolio is very concentrated: two individual tech stocks make up 60% of the value, while three broad ETFs share the remaining 40%. Everything is in equities, with no bonds or cash buffer. That creates a “barbell” between single‑stock risk and broad market exposure. Structurally, this is closer to a focused bet than a diversified core portfolio. Concentrated structures can supercharge gains but also amplify hits when a key holding stumbles. Someone using a setup like this might treat the core ETFs as the long‑term foundation and the two big single stocks as high‑conviction satellite positions, while being mentally ready for larger swings than a typical index‑heavy mix.
Growth
Historically, the performance has been spectacular: turning $1,000 into about $45,149 over roughly ten years, with a compound annual growth rate (CAGR) of 46.62%. CAGR is the “average speed” of growth per year, smoothing out ups and downs. This crushed both the US market (14.42% CAGR) and global market (11.91% CAGR. The tradeoff was a very deep max drawdown of -54.46%, meaning the portfolio more than halved from late 2021 to late 2022 before recovering. That kind of drop is emotionally and financially demanding. It shows that while concentrated growth can deliver huge upside, staying invested through severe pullbacks is the real challenge.
Projection
The Monte Carlo projection uses many random paths based on historical patterns to estimate a range of future outcomes. Think of it like running 1,000 alternate histories for the next 15 years, then looking at the distribution. The median outcome grows $1,000 to about $2,760, with a wide “likely” range from roughly $1,789 to $4,301 and a possible range roughly $924 to $7,762. The average simulated annual return of 8.15% is much lower than the past decade’s 46% CAGR, underscoring that such extreme historical gains are unlikely to repeat. As always, these simulations are not predictions, just scenario tools built from past behavior.
Asset classes
- Stocks 100%
All of the money is in stocks, with 0% in bonds, cash, or other asset classes. Equities are the growth engine of most portfolios, but holding them exclusively usually means larger swings in value and deeper drawdowns during market stress. Compared to more balanced mixes that include bonds or cash, an all‑stock setup typically has higher long‑term return potential but less downside cushioning. For someone with a long time horizon and high risk tolerance, this can be acceptable. For shorter horizons or lower tolerance for volatility, mixing in other asset classes can help smooth the ride without necessarily sacrificing the overall strategy.
Sectors
- Technology 73%
- Financials 5%
- Telecommunications 4%
- Consumer Discretionary 4%
- Industrials 4%
- Health Care 4%
- Consumer Staples 2%
- Basic Materials 1%
- Energy 1%
- Utilities 1%
- Real Estate 1%
Sector-wise, the portfolio is extremely tech‑heavy, with about 73% in technology and relatively small slices in areas like financials, communication, consumer, industrials, and health care. That’s a much stronger tech tilt than broad market benchmarks, which are more evenly spread. Heavy technology exposure can benefit from innovation cycles, digital transformation, and strong earnings growth, but it tends to be more sensitive to interest rates, regulation, and changes in investor sentiment toward growth. A portfolio with this kind of tilt may outperform strongly in tech bull markets and underperform or swing sharply during periods when markets rotate toward more defensive or value‑oriented areas.
Regions
- North America 91%
- Europe Developed 4%
- Japan 2%
- Asia Developed 1%
- Asia Emerging 1%
Geographically, the portfolio is dominated by North America at 91%, with modest exposure to Europe, Japan, and other parts of Asia. The global market is more balanced between the US and the rest of the world, so this is a clear home‑country tilt. Concentrating in one region can work well when that region leads, as US markets have often done recently, but it also ties results closely to a single economy, currency, and regulatory environment. A more globally balanced mix can help reduce the impact of region‑specific shocks. That said, this alignment with US growth leadership has clearly supported the strong historical returns observed.
Market capitalization
- Mega-cap 80%
- Large-cap 12%
- Mid-cap 6%
- Small-cap 1%
The portfolio leans heavily toward mega‑caps, with about 80% there, plus 12% in large‑caps and only small slivers in mid‑ and small‑caps. Mega‑caps are often established, profitable companies that can provide more stability than smaller peers, but they also mean the portfolio’s fate is tied to a relatively small group of global giants. Many broad benchmarks are also mega‑cap weighted, so this isn’t unusual, just amplified by the big single‑stock stakes. Less exposure to smaller companies means less participation in potential small‑cap rallies, but also avoids some of the higher volatility and business risk that come with those segments.
True holdings
-
Part of fund(s):
- Schwab U.S. Large-Cap Growth ETF
- Vanguard S&P 500 ETF
-
Part of fund(s):
- Schwab U.S. Large-Cap Growth ETF
- Vanguard S&P 500 ETF
-
AA Apple Inc 2.33%
Part of fund(s):- Schwab U.S. Large-Cap Growth ETF
- Vanguard S&P 500 ETF
-
AM Amazon.com Inc 1.29%
Part of fund(s):- Schwab U.S. Large-Cap Growth ETF
- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class A 1.10%
Part of fund(s):- Schwab U.S. Large-Cap Growth ETF
- Vanguard S&P 500 ETF
-
AV Broadcom Inc 0.96%
Part of fund(s):- Schwab U.S. Large-Cap Growth ETF
- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class C 0.88%
Part of fund(s):- Schwab U.S. Large-Cap Growth ETF
- Vanguard S&P 500 ETF
-
ME Meta Platforms Inc. 0.85%
Part of fund(s):- Schwab U.S. Large-Cap Growth ETF
- Vanguard S&P 500 ETF
-
TS Tesla Inc 0.72%
Part of fund(s):- LS 1x Tesla Tracker ETP Securities GBP
- Schwab U.S. Large-Cap Growth ETF
- Vanguard S&P 500 ETF
-
23 Taiwan Semiconductor Manufacturing Co. Ltd. 0.34%
Part of fund(s):- Vanguard Total International Stock Index Fund ETF Shares
- Top 10 total 72.85%
Looking through the ETFs, Microsoft and NVIDIA are even bigger than they appear: total exposure is about 41.7% for Microsoft and 22.6% for NVIDIA once ETF holdings are added. That’s heavy hidden concentration in just two names. There’s also smaller but overlapping exposure to other mega‑cap growth giants like Apple, Amazon, Alphabet, Meta, and Tesla across the funds. Overlap matters because when the same companies appear in multiple holdings, they tend to move together, reducing diversification. The ETFs do broaden things beyond the top names, but the risk story is still dominated by a handful of large US tech‑oriented companies.
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-wise, the standouts are a high tilt to quality (72%) and low tilts to value (31%), size (23%), yield (38%), and low volatility (37%), with momentum roughly neutral. Factor exposure describes how much the portfolio leans into traits like value or quality that research links to long‑term returns. A strong quality tilt often means companies with robust balance sheets, stable earnings, and high profitability – a positive sign that can support resilience through downturns. The low value and yield tilts fit a growth‑oriented profile: you’re paying up for future prospects rather than current cheapness or income. This combination can shine in growth‑friendly markets, but may lag if sentiment swings toward cheaper or higher‑dividend stocks.
Risk contribution
-
Microsoft Corporation
Weight: 40.00% 39.3% -
NVIDIA Corporation
Weight: 20.00% 34.6% -
Vanguard S&P 500 ETF
Weight: 20.00% 12.9% -
Schwab U.S. Large-Cap Growth ETF
Weight: 10.00% 8.1% -
Vanguard Total International Stock Index Fund ETF Shares
Weight: 10.00% 5.1%
Risk contribution shows how much each holding drives the portfolio’s ups and downs, which can differ from its weight. Here, Microsoft is 40% of the portfolio and contributes about 39% of the risk, while NVIDIA is 20% of the weight but a hefty 34.6% of the risk, reflecting its higher volatility. The top three positions together account for around 86.8% of total risk, even though they’re 80% of the capital. That’s a lot of risk concentrated in just a few names. Adjusting position sizes or adding more diversified holdings are typical ways investors align risk contributions better with their comfort level.
Redundant positions
-
High correlationVanguard S&P 500 ETFSchwab U.S. Large-Cap Growth ETF
Correlation measures how assets move together. A correlation close to 1 means they often rise and fall almost in sync. The Schwab U.S. Large-Cap Growth ETF and the Vanguard S&P 500 ETF are noted as moving almost identically, which makes sense since both track broad baskets of large US companies with significant overlap. When holdings are highly correlated, holding both doesn’t add much diversification during market sell‑offs; they tend to drop together. Diversification works best when combining assets that don’t all move the same way at the same time, so recognizing where correlations are high helps set realistic expectations about how much protection the mix can actually provide.
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, the current portfolio sits about 1.46 percentage points below the frontier at its risk level, with a Sharpe ratio of 0.99. The Sharpe ratio compares return to volatility, like measuring how much “bang for your buck” you get per unit of risk. The optimal mix of these same holdings reaches a higher Sharpe of 1.3, while a minimum‑variance blend lowers risk but also return. Being below the frontier means that, based purely on history, reweighting the existing positions could improve the risk/return balance without adding anything new. Still, the current Sharpe is solid, showing that despite concentration, the historical tradeoff has been attractive.
Dividends
- Microsoft Corporation 0.90%
- Schwab U.S. Large-Cap Growth ETF 0.40%
- Vanguard S&P 500 ETF 1.10%
- Vanguard Total International Stock Index Fund ETF Shares 2.80%
- Weighted yield (per year) 0.90%
The portfolio’s total dividend yield is about 0.9%, which is relatively low and typical for growth‑oriented setups. Dividends represent cash payments from companies, and yield is the annual dividend as a percentage of price. Here, most of the upside is expected from price appreciation, not income, with the international ETF providing the highest yield among holdings. For investors focused on building a paycheck from their portfolio, this level of income would usually be considered modest. For long‑term growth investors, lower yields can be fine, especially if the underlying companies are reinvesting profits into expanding their businesses instead of paying them out as dividends.
Ongoing product costs
- Schwab U.S. Large-Cap Growth ETF 0.04%
- Vanguard S&P 500 ETF 0.03%
- Vanguard Total International Stock Index Fund ETF Shares 0.05%
- Weighted costs total (per year) 0.02%
Costs are impressively low. The ETFs used have expense ratios (TERs) between 0.03% and 0.05%, and the blended portfolio TER is about 0.02%. TER is the annual fee charged by a fund, expressed as a percentage of assets, and lower fees leave more of the return in your pocket. This alignment with low‑cost best practices is a real strength: over long horizons, even small fee differences compound into meaningful sums. Combining low‑cost broad ETFs with direct stock holdings is an efficient structure from a cost perspective, allowing the focus to stay on asset mix and risk rather than losing performance to unnecessary fund charges.
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