This portfolio holds three equity ETFs, with half in an international developed “quality” fund, a quarter in a global uranium fund, and a quarter in a broad all‑world index ETF. Structurally, that means a core of diversified global stocks wrapped around a sizable thematic slice in uranium. With only three positions, it is simple to understand and easy to track, yet the underlying holdings inside each ETF are numerous. The quality ETF and global ETF together form a diversified backbone, while the uranium ETF creates a distinct tilt toward a narrow theme. This combination explains why the portfolio can look diversified at the top level but still behave more aggressively than a broad global index.
From 2020-09-11 to 2026-05-08, a hypothetical $1,000 grew to about $2,871, a compound annual growth rate (CAGR) of 40.23%. CAGR is like the “average speed” over the whole journey, smoothing out bumps along the way. This comfortably beat both the US market (31.91% CAGR) and the global market (27.28% CAGR). The flip side is a max drawdown of -31.98%, deeper than either benchmark. Drawdown measures the worst peak‑to‑trough fall, showing how painful downturns can feel. The recovery from that drop took over two years, highlighting that strong long‑term results came with stretches of significant volatility and patience.
The Monte Carlo projection uses 1,000 simulated paths based on past return and volatility patterns to explore many possible futures, not just one forecast. Think of it as rolling the dice thousands of times with today’s risk/return profile. After 15 years, the median outcome grows $1,000 to about $2,734, with a “likely” middle range between roughly $1,811 and $4,128. The wide possible band from about $998 to $7,825 shows how uncertain long‑term equity outcomes can be. The average simulated annual return is 8.05%, and around 73.5% of paths end positive. These numbers are model‑based, so they help frame expectations but cannot predict actual future results.
On the asset class view, 75% of the portfolio is clearly classified as stocks, while the remaining 25% is tagged as “No data,” which simply means the dataset doesn’t have an asset class label for those positions. All three holdings are equity ETFs, so practically the portfolio behaves like a pure equity allocation. A high equity share usually means more sensitivity to market moves, both up and down, compared with mixes that include bonds or cash. This stock‑heavy structure matches the “aggressive” risk flag and helps explain the strong historical gains as well as the relatively large drawdowns observed in the performance data.
Sector‑wise, the portfolio leans heavily into industrials (19%) and energy (17%), with technology also significant at 14%. The prominent energy exposure is largely driven by the uranium ETF, which concentrates on a very specific slice of the energy ecosystem. Compared with many broad global benchmarks that are more tech and financials‑heavy, this mix tilts more toward cyclical and commodity‑linked areas. Such sectors can be more sensitive to shifts in economic growth, resource prices, and policy changes. When conditions are favorable, this can amplify returns; during periods of weaker demand or falling commodity prices, it can also increase downside swings.
Geographically, exposure is spread across developed regions, with Europe Developed at 29%, North America at 18%, and a combined 22% across Japan and broader developed Asia. Smaller slices appear in Australasia and emerging regions. Compared with a typical world index that is often dominated by North America, this portfolio is more balanced across non‑US developed markets. That structure can soften the impact of any one economy’s slowdown but also means returns may sometimes lag a US‑heavy market when the US strongly outperforms. Currency moves across several major currencies will also be a noticeable driver of returns in dollar terms.
By market capitalization, the portfolio is anchored in larger companies, with 36% in mega‑caps and 21% in large‑caps, while 8% each sits in mid‑caps and small‑caps, plus a small 1% micro‑cap slice. Large and mega‑cap stocks tend to be more established and liquid, which can help with trading and reduce some idiosyncratic company risk. The noticeable allocation to smaller companies, likely coming through the uranium and broader global funds, introduces more growth potential but also added volatility. This mix provides exposure to both global blue‑chips and a longer tail of smaller, more specialized firms that can move more sharply in both directions.
Looking through ETF top‑10 holdings, a few names stand out. Cameco alone accounts for about 5.5% of the portfolio, and several other uranium‑related stocks like NexGen Energy, Uranium Energy Corp, and Oklo add to that theme. On the other side, high‑quality international names such as SK Hynix, ASML, Novartis, Roche, and Rolls‑Royce appear via the quality and global ETFs. Because only top‑10 holdings are captured, overlap is likely understated, but it’s already clear that a handful of uranium and semiconductor‑related companies represent meaningful exposure. This creates some hidden concentration despite the diversified wrapper of multi‑holding ETFs.
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 exposure shows a very high tilt to quality (85%) and high yield (70%), plus a strong momentum tilt (75%), while value (25%) and size (29%) are on the lower side. Factors are like traits that drive how groups of stocks behave over time. A strong quality tilt means more exposure to companies with solid balance sheets and stable earnings, which research links to resilience in many environments. High momentum suggests a bias toward stocks that have recently performed well, which can help in strong trends but may hurt when markets reverse. Lower value and size tilts indicate less emphasis on cheaper or smaller companies relative to the broad market.
Risk contribution reveals how much each ETF drives total portfolio ups and downs, which can differ from simple weights. The uranium ETF is 25% of the portfolio but contributes about 47% of the overall risk, almost twice its weight. The international quality ETF, despite being half the allocation, contributes about 38% of risk, and the broad all‑world ETF is 25% by weight but only about 15% of risk. This shows that the uranium position is the main source of volatility. Position‑level risk like this explains why the portfolio can feel more aggressive than its simple three‑fund structure might initially 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.
On the risk vs. return chart, the current portfolio has a Sharpe ratio of 1.19, while the optimal mix using only these holdings reaches 1.45. The Sharpe ratio compares excess return to volatility, like judging how much “reward” is earned for each unit of “bumpiness.” The current portfolio sits about 4 percentage points below the efficient frontier at its risk level, meaning the same three ETFs, in different proportions, could historically have delivered a better risk/return tradeoff. The minimum‑variance mix shows noticeably lower risk but also lower expected return. This suggests there is room to fine‑tune weights if the goal is to improve efficiency without changing the ingredients.
The portfolio’s overall dividend yield is about 2.0%, with the quality ETF yielding roughly 2.1% and the uranium ETF about 3.8%. Yield measures the cash income from dividends relative to the investment amount, like rent from a property. A 2% yield is modestly supportive but clearly secondary to capital growth here. Given the strong quality and high‑yield factor tilts, dividends contribute a steady return component alongside price movements, but they are not the main driver of historical performance. In practice, income from this portfolio helps smooth returns slightly, especially during sideways markets, while the primary engine remains price appreciation.
Total ongoing costs, measured by the total expense ratio (TER), are about 0.32% per year. TER is the annual fee taken inside each fund to cover management and operating expenses. For a specialized thematic ETF like uranium, a 0.69% TER is common, while the core quality ETF’s 0.29% and the global ETF’s low cost help pull the overall average down. These costs are deducted automatically and compound over time, so lower fees generally leave more of the return in investors’ hands. Here, the blended cost is quite reasonable for a mix that includes both broad, low‑cost index exposure and a niche thematic fund.
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