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.
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.
Growth Investors
This configuration suits an investor who embraces meaningful risk in exchange for high growth potential, with a long-term horizon of at least 10–15 years. Such a person is comfortable seeing the portfolio drop 30% or more during market panics without feeling forced to sell. The main goals are likely capital growth, reaching financial independence faster, or building a sizeable nest egg rather than generating steady income. Patience, discipline, and a strong stomach for volatility are key traits. A short-term trader or someone needing stable near-term withdrawals would probably find this style too aggressive for their comfort level and cash flow needs.
This portfolio is extremely focused: two US large cap funds split 50 / 50, both tracking or tilting toward big US companies. Compared with a typical broad portfolio that mixes different regions and asset types, this setup is narrow and strongly growth‑oriented. That matters because when one style or region struggles, there is little else here to offset it. The current split is well aligned with a classic growth profile, but leaves gaps in defensive and diversifying assets. If more balance is desired, it could help to gradually add a few complementary building blocks rather than changing the core holdings.
Using a simplified example, a 10,000 USD investment growing at the historic 17.09% CAGR (Compound Annual Growth Rate: the “average speed” of growth per year) would have multiplied several times over a decade. This clearly beats typical broad market benchmarks and reflects a strong tilt toward winning large growth stocks. The max drawdown of -32.70% shows that the ride can be rough, especially in sharp downturns. Past numbers are impressive, but they cannot guarantee future results, especially after a very strong run for large US growth. Treat the historic outperformance as evidence of style exposure, not as a promise.
The Monte Carlo analysis runs 1,000 simulated futures using patterns from historical data and random variation, a bit like replaying market history with different dice rolls. The median outcome of about 795% means many paths show substantial growth, while the 5th percentile around 124% reminds that weaker outcomes are very possible. An average simulated annual return of 18.79% is high and reflects the strong past environment for large US stocks. These simulations are only rough guides: they rely heavily on history and may underestimate future shocks or regime changes. It can be sensible to plan based on more conservative expectations than the simulations suggest.
The asset mix is 100% stocks and 0% cash or other assets, which is more aggressive than a typical diversified portfolio that blends stocks with bonds or other stabilizing holdings. This all‑equity approach fits a pure growth mindset and maximizes long‑term upside potential, but it also maximizes exposure to market swings. In deep downturns, there is nothing here designed to cushion the fall. This allocation is well-balanced within equities and aligns closely with growth‑oriented benchmarks, but it lacks cross‑asset diversification. If smoother ride and better resilience are priorities, introducing one or two non‑equity components could meaningfully change the risk profile.
Sector exposure is clearly tilted: technology is about 35%, with additional growth‑sensitive sectors like consumer cyclical and communication services together adding over a quarter of the portfolio. Compared to broad benchmarks, this is a strong growth style bias. Tech‑heavy portfolios may experience higher volatility during interest rate hikes or when investor sentiment shifts away from high‑growth companies. On the positive side, this sector mix has historically captured innovation and earnings growth well, which helps explain the strong past performance. Your portfolio's sector composition matches benchmark data for growth styles, which is a strong indicator of intentional positioning, but it offers limited defensive ballast.
Geographically, around 98% of the exposure is in North America, essentially the US, with a tiny allocation to other regions. Many global benchmarks are still US‑heavy, but usually not to this extreme; they often include a noticeable share of Europe and Asia. This home‑region focus has been very rewarding over the last decade, as US large caps strongly outperformed many international markets. However, it leaves the portfolio very dependent on one economy, one currency, and one policy environment. This allocation is well-balanced and aligns closely with US growth standards, but adding some non‑US exposure could reduce the impact of a prolonged US‑specific downturn.
By market capitalization, about 88% is in mega and big companies, with the remaining 12% in medium caps and essentially nothing in small caps. Large caps tend to be more stable businesses with deep liquidity and strong analyst coverage, which helps reduce some company‑specific risk versus tiny firms. At the same time, missing small caps can mean giving up part of the long‑term equity risk premium that historically came from smaller, riskier businesses. This large‑cap focus is very much in line with standard US benchmark construction, so it is not an unusual tilt. If additional diversification is desired, a measured introduction of mid or smaller companies could broaden the opportunity set.
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 a simple Efficient Frontier chart—which shows the best possible trade‑off between risk and return using only the existing holdings—this portfolio already sits near the high‑return, high‑risk end. The Efficient Frontier is not about predicting the future; it just shows, for a given set of assets, which mix historically delivered the most return for each level of volatility. Here, because both funds are similar and highly correlated, shifting the weights between them would only modestly change risk or expected return. Efficiency in this context refers strictly to the risk‑return ratio, not to diversification goals, income needs, or personal comfort with big drawdowns.
The total dividend yield of about 0.65% is low, especially compared with broader equity portfolios that often yield closer to 1.5–2%. This fits the growth profile: companies that reinvest heavily in their business often pay smaller dividends but may deliver higher earnings and price appreciation. For investors relying on portfolio income, this setup may feel thin, since most of the return is expected to come from price movement rather than regular cash payouts. For long‑term wealth building, low yield is not a problem as long as growth continues. However, if future goals include living off the portfolio, it might be useful to gradually incorporate more income‑oriented components over time.
The blended ongoing cost (Total Expense Ratio, or TER) of about 0.23% per year is impressively low for an actively tilted growth approach. The index fund at 0.02% is ultra‑cheap, and even the active growth fund at 0.44% is reasonable for its category. Low costs matter because fees are deducted every year, and over decades they compound just like returns—only in the wrong direction. Your portfolio’s cost structure is well aligned with best practices and supports better long‑term performance. There is no urgent need to squeeze costs further unless an almost identical, cheaper alternative becomes available without sacrificing strategy fit or quality.
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