Concentrated mega cap stock portfolio with strong historic returns and high quality growth tilt
Report created on Apr 15, 2026Risk profile
- Secure Speculative
The risk profile, derived from past market volatility, reflects the level of risk the portfolio is exposed to. This assessment helps align your investments with your financial goals and comfort with market fluctuations.
Diversification profile
- Focused Diversified
The diversification assessment evaluates the spread of investments across asset classes, regions, and sectors. This ensures a balanced mix, reducing risk and maximizing returns by not concentrating in any single area.
Positions
-
BR Berkshire Hathaway Inc
BRK-B - US0846707026 27.57% -
MS Microsoft Corporation
MSFT - US5949181045 21.51% -
GO Alphabet Inc Class A
GOOGL - US02079K3059 18.15% -
AM Amazon.com Inc
AMZN - US0231351067 13.23% -
NV NVIDIA Corporation
NVDA - US67066G1040 10.57% -
HS HSBC Holdings PLC ADR
HSBC - US4042804066 5.08% -
KO The Coca-Cola Company
KO - US1912161007 3.89%
This portfolio is a tight collection of seven individual mega-cap stocks rather than a broad mix of funds. One holding alone is more than a quarter of the value, and the top five names make up over 90%, so a few companies really drive the outcome. Everything is in stocks, with no bonds or cash assumed, which fits the “aggressive” risk label. Concentrated stock portfolios can grow fast but also swing hard. The structure here suits someone who wants focused exposure to specific businesses, but it also means that changes in just one or two companies’ fortunes will have an outsized impact on the overall results.
Growth
Historically, this portfolio has been a rocket: a $1,000 investment in 2016 would have grown to about $26,531, far ahead of both the US and global markets. Its compound annual growth rate (CAGR) of 39.01% massively beats the US market’s 14.36%. CAGR is like average speed on a road trip, smoothing the ups and downs into one annual number. The trade-off is a max drawdown of -48.59%, meaning the portfolio was almost cut in half at one point. That depth of loss shows how aggressive growth can feel in a real downturn, even when long-term results are excellent.
Projection
The Monte Carlo projection uses historical returns and volatility to simulate many future paths for a $1,000 investment over 15 years. Think of it as running the market 1,000 different “what if” scenarios, then looking at the distribution of outcomes. The median result of $2,821 implies an annual return of about 8.35%, but there’s a wide possible range from roughly breaking even to very strong growth. This highlights that even with an aggressive, historically successful mix, future results can vary a lot. Monte Carlo is a useful planning tool, but it still leans heavily on past behavior, which may not repeat exactly.
Asset classes
- Stocks 100%
All of the money here is in one asset class: stocks. There is no allocation to bonds, cash-like instruments, or alternative assets. That single-asset focus is consistent with an aggressive risk profile because stocks historically offer higher potential returns but also deeper and more frequent drawdowns. In calmer markets, this can feel great, but when volatility hits, there is nothing in the mix designed to cushion the fall. A 100% stock allocation works best for very long time horizons and for investors who can emotionally and financially handle big swings without feeling forced to change course at the worst moment.
Sectors
- Financials 33%
- Technology 32%
- Telecommunications 18%
- Consumer Discretionary 13%
- Consumer Staples 4%
Sector-wise, the portfolio leans heavily into financials and technology, with meaningful exposure to communication-type businesses and smaller slices in consumer areas. Financials and tech together make up roughly two-thirds of the allocation, so themes like interest rates, credit cycles, innovation, and digital advertising will strongly influence performance. Tech-related names tend to be more sensitive to macro factors like rates and growth expectations, which can amplify volatility. The presence of consumer businesses helps a bit with balance, but the main story is still growth and earnings power in a few key industries rather than a fully even sector mix.
Regions
- North America 95%
- Europe Developed 5%
Geographically, this portfolio is overwhelmingly tied to North America, with only a small foothold in developed Europe. That heavy North American tilt aligns with many large-cap benchmarks and has been a tailwind in recent years because US mega-caps have dominated global returns. The flip side is that economic, regulatory, and currency developments in one region dominate the risk picture. While the businesses themselves often earn revenue globally, stock prices still respond strongly to home-market sentiment. The modest European position adds a touch of regional diversification but does not change the overall character, which is firmly North America-centric.
Market capitalization
- Mega-cap 100%
All holdings are mega-cap companies, the largest tier of the stock market. Mega-caps typically have more diversified businesses, established competitive positions, and deeper liquidity, which can help during stressed markets compared with smaller, more fragile firms. At the same time, being 100% in mega-caps means missing the different risk/return profile of mid- and small-cap stocks, which sometimes outperform over long stretches. The upside of this structure is quality and familiarity: these are household names with robust histories. The trade-off is relying on a small group of giants rather than tapping the full spectrum of company sizes.
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 portfolio shows a very low exposure to the size factor and a high tilt toward quality. Factors are like underlying “traits” that help explain why stocks behave the way they do over time. A very low size score means the portfolio leans strongly away from smaller companies and toward very large ones, which can reduce certain risks but may miss some long-term small-cap return potential. The high quality tilt suggests an emphasis on strong balance sheets, profitability, and stability of earnings. That often helps in rocky markets, supporting downside resilience, and it’s a nice alignment with many best-practice equity approaches.
Risk contribution
-
Microsoft Corporation
Weight: 21.51% 23.7% -
Alphabet Inc Class A
Weight: 18.15% 20.4% -
NVIDIA Corporation
Weight: 10.57% 18.7% -
Berkshire Hathaway Inc
Weight: 27.57% 17.3% -
Amazon.com Inc
Weight: 13.23% 15.7% - Top 5 risk contribution 95.8%
Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ from simple weight. For example, NVIDIA is just over 10% of the value but contributes nearly 19% of the risk, reflecting its higher volatility; Berkshire is the largest weight but contributes less risk than its size suggests. The top three positions together account for almost two-thirds of total volatility. That concentration is not “good” or “bad” on its own, but it does mean that fine-tuning these few positions would have the biggest impact if someone ever wanted to reshape the portfolio’s risk profile.
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 risk–return chart, the current portfolio sits below the efficient frontier. The efficient frontier is the curve showing the best achievable return for each level of risk using only these holdings in different weights. A Sharpe ratio of 0.99 for the current mix, versus 1.36 for the optimal mix, means there’s room to get more expected return per unit of risk simply by reweighting what’s already here. Importantly, this doesn’t require adding new names, just adjusting sizes. The minimum variance version has lower risk but also much lower expected return, so the key trade-off is between efficiency and aggressiveness.
Dividends
- Alphabet Inc Class A 0.30%
- HSBC Holdings PLC ADR 1.60%
- The Coca-Cola Company 2.70%
- Microsoft Corporation 0.90%
- Weighted yield (per year) 0.43%
Dividend yield from this portfolio is low overall, at around 0.43%, even though a couple of holdings have more noticeable payouts. Dividends are the cash payments companies make to shareholders, and they can be an important component of total return for income-focused investors. Here, most of the expected return is coming from price appreciation rather than regular cash flow. That’s very consistent with a growth-oriented, aggressive style. For someone who doesn’t need income today and cares more about long-term compounding, this setup can work well, but it’s not structured as a portfolio that funds ongoing withdrawals.
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