This portfolio is a pure equity mix with six positions and no bonds or cash, so it sits firmly at the growth end of the spectrum. Around 70% sits in broad index-style ETFs spanning US large caps, global stocks, and international markets. The remaining 30% is in more focused positions: two small-cap value ETFs and a single large stock position in Berkshire Hathaway at 10%. This structure combines broad market exposure with a few intentional tilts. A 100% stock allocation usually means more ups and downs but more growth potential over long periods. The single-stock slice adds a bit of “stock picker” flavor on top of a mostly index-based core.
From late 2019 to May 2026, a $1,000 hypothetical investment grew to about $2,596, a compound annual growth rate (CAGR) of 15.6%. CAGR is like the average yearly speed over a long road trip, smoothing out bumps along the way. Over the same period, the US market slightly outpaced this at 16.09%, while the global market lagged at 13.55%. So the portfolio modestly underperformed the US but clearly outpaced global stocks overall. The worst drop, or max drawdown, was about -34.8% during early 2020, similar to the benchmarks, which is typical for an all-equity portfolio during a major shock.
The Monte Carlo projection looks at many possible futures by “replaying” and scrambling historical returns thousands of times. It uses the portfolio’s past volatility and return patterns to generate a range of 15‑year outcomes. Here, the median path turns $1,000 into about $2,771, or roughly 8% per year, with a fairly wide range: most scenarios fall between about $1,793 and $4,152. A small slice of outcomes are much higher or barely above break-even. This highlights that even for a historically strong portfolio, future results can vary a lot. Monte Carlo is a useful planning tool, but it’s still built on past data, which never guarantees what happens next.
All holdings here are stocks, so the asset class breakdown is simple: 100% equities. That means the portfolio’s growth potential is tied entirely to company earnings, valuations, and global economic conditions rather than bond yields or cash returns. A pure equity mix typically experiences sharper swings, both up and down, especially during market stress. On the upside, equities have historically offered higher long-term returns than bonds or cash. Compared with a multi‑asset benchmark that mixes stocks and bonds, this portfolio will likely show higher volatility and deeper drawdowns, but also greater participation in long bull markets and strong recoveries after declines.
Sector exposure is fairly balanced, with no single sector dominating heavily. Financials and technology are the largest slices at 24% and 23%, followed by industrials and consumer discretionary at 11% each. The remaining sectors are spread across telecoms, healthcare, energy, materials, staples, utilities, and real estate, mostly in low single digits. This resembles a diversified broad-market equity profile rather than a niche theme. Tech and financials together still make up nearly half the portfolio, so headlines affecting banks, software, and chipmakers will matter. This kind of balance helps avoid over-reliance on one economic story, while still reflecting the modern economy’s tilt toward tech and financial services.
Geographically, the portfolio is clearly US-led: about 73% sits in North America, with the rest spread across Europe, Japan, developed Asia, emerging Asia, Australasia, Latin America, and Africa/Middle East. This is more US‑tilted than a typical global benchmark, where the US is large but not quite this dominant. The international slice, at roughly a quarter of the portfolio, still offers meaningful exposure to non‑US economies and currencies. This combination has historically benefited from strong US market performance while keeping some global diversification. It also means portfolio returns are strongly tied to US economic conditions and policy, though not exclusively.
Market cap exposure leans toward larger companies, with 45% in mega‑caps and 22% in large‑caps, but there’s a notable allocation down the size spectrum: 17% mid‑cap, 10% small‑cap, and 5% micro‑cap. Larger companies tend to be more stable, widely researched, and often dominate index performance. Smaller and micro‑caps can be more volatile and less liquid but sometimes offer higher long‑term growth potential because they’re earlier in their business life cycle. This structure largely mirrors a broad market hierarchy while deliberately adding a bit more small‑cap flavor through the Avantis ETFs, which can increase both diversification and short‑term bounciness.
Looking through the ETFs, Berkshire Hathaway is the largest underlying exposure at about 10.47% total, mainly from the direct 10% holding plus a small slice through ETFs. Several mega‑cap US tech and growth names—NVIDIA, Apple, Microsoft, Amazon, Alphabet, Meta, Tesla, Broadcom—appear via the index funds, with individual look‑through weights between about 1% and 4.5%. This reflects the dominance of these firms in modern indices. There is some overlap across ETFs, especially in those big tech names, which can subtly increase concentration in a handful of companies even though the surface-level ETF list looks diversified. Overlap might be understated since only top‑10 ETF holdings are captured.
Factor exposures are very close to neutral across all six measured factors: value, size, momentum, quality, yield, and low volatility. Factor exposure is like checking which “ingredients” drive returns—cheap vs expensive stocks (value), large vs small (size), steady vs jumpy (volatility), and so on. With all scores clustering around the 50% mark, this portfolio behaves much like a broad market index from a factor perspective, despite the small‑cap value components. That means it isn’t strongly leaning into any one academic return driver such as deep value or high momentum. This neutrality can be helpful if the goal is avoiding big bets on a single style.
Risk contribution shows how much each holding drives overall volatility, which can differ from its weight. Here, the top three positions—Vanguard S&P 500, Schwab US Large-Cap Growth, and Vanguard Total International—make up 70% of the portfolio and contribute about 71% of total risk. The Schwab growth ETF and the US small-cap value ETF both contribute slightly more risk than their weights (risk/weight above 1), reflecting their higher volatility. Berkshire’s risk is blended into the indices holding it, but its 10% direct weight still matters. Overall, risk is reasonably aligned with position sizes, without a single ETF dominating risk out of proportion to its allocation.
The correlation data highlight that the Schwab US Large-Cap Growth ETF and the Vanguard S&P 500 ETF move almost identically. Correlation measures how two investments move together, from -1 (opposite) to +1 (in lockstep). When assets are highly correlated, they tend to rise and fall at the same time, which limits diversification during market swings. In practice, this means the 50% combined weight in these two US large-cap funds behaves a lot like a single big US growth-heavy position, even though it’s split across two tickers. Other holdings, like international and small-cap value ETFs, help break that pattern somewhat, but US large caps remain a core driver.
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 vs return chart, the current portfolio sits below the efficient frontier by about 1.5 percentage points at its risk level. The efficient frontier is the curve showing the best return you could historically have achieved for each risk level using these same holdings in different weights. The Sharpe ratio, which measures return per unit of risk over a cash rate, is 0.65 for the current mix versus 0.87 for the “optimal” weighting and 0.69 for the minimum-variance version. That suggests the current allocation is decent but not fully efficient; in theory, simply reweighting these same funds could improve the balance between volatility and expected return.
The portfolio’s overall dividend yield is about 1.36%, modest but not negligible. Yield is the cash income from dividends as a percentage of the portfolio value, and it can be an important component of total return over time. The international small-cap value and international broad ETF have higher yields near 2.7–2.8%, while the US growth fund is much lower at 0.4%, reflecting its focus on companies that reinvest profits. This pattern is common: value and international stocks often pay more, high-growth names less. In total, the portfolio leans more toward growth than income, with dividends providing a small but steady background contribution.
Average costs are impressively low, with a blended total expense ratio (TER) of about 0.09%. TER is the annual fee charged by funds as a percentage of assets—like a management “subscription cost” taken out behind the scenes. Most of the allocation sits in very low-cost index ETFs from Vanguard and Schwab, while the more specialized Avantis small-cap value funds charge slightly higher fees, which is typical for active or factor-tilted strategies. Over decades, the difference between a 0.09% fee level and a much higher one compounds into a meaningful gap in ending wealth, so this low-cost structure is a real strength of the portfolio.
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