This portfolio is built from just two broad index mutual funds, with roughly three quarters in a total US market fund and one quarter in a global ex‑US fund. That means 100% of the portfolio sits in stocks, with no bonds or cash inside the structure itself. A two‑fund setup like this is intentionally simple: one holding covers the home market, the other everything abroad. This matters because it keeps maintenance low and diversification fairly broad despite the minimal number of line items. The overall pattern is a classic “core global equity” mix, leaning toward the domestic market while still holding a meaningful slice of the rest of the world.
Over the 2016–2026 period, $1,000 in this portfolio grew to about $3,602, a compound annual growth rate (CAGR) of 13.72%. CAGR is like your average speed on a long road trip, smoothing out bumps along the way. Compared with benchmarks, the portfolio lagged the US market by 1.50 percentage points per year, but beat the global market by 1.04 points annually. The worst peak‑to‑trough drop was about –34.5% during early 2020, similar to both benchmarks. That kind of drawdown is typical for an all‑equity mix. Only 33 days generated 90% of total returns, underscoring how a few strong days can drive long‑term results.
The forward projection uses a Monte Carlo simulation, which is basically running the portfolio’s past return and volatility pattern through 1,000 different “what if” futures. Each path shuffles good and bad years in different orders to show a range of possible outcomes, not a single forecast. Here, a $1,000 starting amount has a median 15‑year outcome of about $2,680, with most scenarios falling between roughly $1,683 and $4,047. The average annual return across all simulations is 7.8%, and about 71% of paths end positive. As always, this exercise leans heavily on historical behavior, so it illustrates risk and uncertainty rather than guaranteeing any specific result.
All of the portfolio is in stocks, with 0% in bonds, cash, or alternative assets. From an asset‑class perspective, that means returns are tied directly to equity markets and can swing meaningfully over shorter periods. Stocks historically have offered higher long‑run growth than bonds, but with much larger ups and downs along the way. Having two broad stock index funds gives diversification within the equity bucket, but doesn’t cushion equity‑market shocks the way fixed income often does. This structure lines up with the “balanced” risk classification mostly because of its broad diversification and efficient design, rather than because it mixes in lower‑volatility asset classes.
Sector exposure is spread across the full economy, with technology the largest slice at about 30%, followed by financials, industrials, and consumer‑oriented areas. Smaller allocations go to energy, materials, utilities, and real estate. This pattern is broadly similar to many global equity benchmarks today, where tech and related industries tend to dominate market value. A heavier tech weight can mean greater sensitivity to interest‑rate expectations and innovation cycles, which can boost growth but also amplify swings during policy shifts. The presence of every major sector, even at smaller weights, helps the portfolio avoid being overly tied to any single industry narrative or economic driver.
Geographically, around 77% of the portfolio sits in North America, with the rest spread across developed Europe, Japan, other developed Asia, and smaller slices in emerging regions. This is more US‑tilted than a strictly market‑cap‑weighted global index, which usually gives the US closer to 60%–65% weight. A strong home bias can benefit when the domestic market outperforms, as it has in recent years, but it also means results are more closely linked to one economy, one political system, and one currency. The meaningful, though smaller, foreign allocation still adds some diversification by tapping into different growth cycles and policy environments.
The portfolio leans heavily toward larger companies, with about 45% in mega‑caps and 32% in large‑caps, plus meaningful exposure to mid‑caps and a modest slice of small and micro‑caps. Market capitalization simply measures company size by stock market value. Larger firms tend to be more stable and liquid, while smaller ones can be more volatile but offer different growth characteristics. This size mix looks similar to broad market indexes, which are naturally dominated by the biggest players. The presence of mid and smaller companies adds some variety in return drivers, while the large/mega focus keeps the overall ride more in line with headline equity indices.
Factor exposure is broadly neutral across most dimensions: value, size, momentum, quality, and low volatility all sit near market‑like levels. Factor exposure describes how much the portfolio leans toward certain characteristics that research has linked to long‑term returns, like cheaper valuations (value) or stable profitability (quality). Here, the only notable tilt is a lower exposure to the yield factor, meaning the underlying companies pay relatively modest dividends compared with high‑yield strategies. This pattern is common for broad market funds, which hold many growth‑oriented firms that reinvest earnings rather than distributing a large share as cash dividends.
Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ from simple weights. The US total market fund is 75% of the allocation but contributes about 79% of total risk, reflecting slightly higher volatility and its dominant size. The global ex‑US fund, at 25% weight, contributes around 21% of risk. A risk/weight ratio above 1 means a position adds more volatility than its size alone would suggest; below 1 means less. In this case, risk is broadly aligned with weights, so there isn’t an outsized single driver beyond what the allocations already suggest.
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 this portfolio sitting on or very close to the efficient frontier, which is the curve of best possible returns for each risk level using the existing holdings. The current mix has a Sharpe ratio of 0.59, while the mathematically “optimal” combination of the same two funds reaches 0.79 with slightly higher risk. Sharpe ratio compares excess return to volatility, like measuring how much reward you get per unit of bumpiness. Being near the frontier suggests the weights are already making good use of the building blocks, delivering an efficient trade‑off between risk and expected return.
The combined dividend yield is about 1.28%, with the US total market fund around 0.9% and the global ex‑US fund near 2.4%. Dividend yield is the annual cash payout divided by price, like rental income from a property relative to its value. This level of income is modest compared with income‑focused portfolios but typical for broad global equities, especially those tilted toward growth sectors. In practice, total return comes from both price gains and reinvested dividends, so a lower yield doesn’t necessarily mean weaker long‑term results. It does mean less of the return is delivered as regular cash and more through changes in share prices.
The total expense ratio (TER) for the portfolio is impressively low at about 0.03% per year, thanks to ultra‑low‑cost index funds charging 0.02% and 0.06%. TER is the ongoing annual fee charged by funds, taken directly out of returns. Over long periods, even small differences in cost can compound into meaningful gaps in ending wealth, much like a tiny leak slowly draining a tank. Here, fees are well below typical active fund charges and compare favorably with many index options, which is a strong structural advantage. Low costs support better long‑term outcomes by letting more of the portfolio’s gross returns stay in the investor’s pocket.
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