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.
This mix leans solidly toward income and stability. Roughly three-quarters is in stock ETFs with a tilt to dividend payers, and about a quarter sits in short-term investment grade bonds. That bond slice and the focus on mature, profitable companies line up well with the “cautious investor” label you provided. Structurally, it looks built to dampen big swings while still participating in equity growth. For someone prioritizing smoother rides and regular cash flow over shooting for the highest returns, this is a sensible, coherent layout and a much more deliberate structure than a random collection of funds.
Historically, $1,000 grew to about $2,465 over 10 years, a compound annual growth rate (CAGR) of 9.47%. CAGR is like your average speed over a road trip, smoothing out bumps along the way. You lagged the US market and global market, which delivered noticeably higher growth, but your worst drop was smaller at -27.45% versus about -34% for the benchmarks. That’s the classic tradeoff: giving up some upside for less brutal drawdowns. For a cautious profile, this history actually matches the design intent pretty well, even if it means accepting underperformance in roaring bull markets.
The Monte Carlo simulation projects many possible futures by shaking historical return and volatility patterns thousands of times. Think of it as rerunning history with the order and size of good and bad years scrambled. The median outcome turns $1,000 into about $2,599 over 15 years, or roughly 7.14% per year across all simulations. The range is wide, from around $1,140 to $5,880 in 95% of scenarios, which shows how uncertain markets can be. These numbers aren’t promises; they’re weather forecasts based on the past. They’re most useful for setting expectations and sanity-checking whether the risk/return tradeoff feels comfortable.
The 74% stocks and 26% bonds split is conservative compared with a typical growth-oriented portfolio that might hold 80–100% stocks. Short-term bonds generally move less than long-term ones, helping cushion equity volatility without exposing you to big interest-rate swings. This blend offers a meaningful buffer in sharp equity selloffs while still allowing long-term growth from the stock side. For a cautious risk score of 3/7, the mix is on the higher-equity side but still clearly risk-aware. It could fit someone who wants noticeable growth but can’t tolerate full equity market rollercoasters.
This breakdown covers the equity portion of your portfolio only.
Sector-wise, there’s a defensive lean: healthcare and consumer staples together are a big slice, with utilities also present. These areas often hold up relatively better in downturns because people still need medicine, groceries, and power regardless of the economy. Technology and cyclicals like industrials and consumer discretionary are present but not dominant, which naturally reins in volatility compared with a tech-heavy setup. In strong growth or low-rate booms, a profile like this might lag more aggressive sector mixes, but in rough patches it can provide welcome stability. For a cautious profile, this is a very sensible sector balance.
This breakdown covers the equity portion of your portfolio only.
Geographically, around 80% sits in North America, with the rest spread across developed and some emerging markets. That’s more home bias than a global index, which usually has closer to 60% in the US, but it’s still meaningfully diversified abroad through international equity and international high-dividend funds. The upside is familiarity, strong rule-of-law markets, and alignment with US-dollar spending. The tradeoff is that returns are heavily linked to one economy and currency. The added exposure to Europe, Japan, and other regions helps, though, making this more diversified than a purely domestic dividend portfolio.
This breakdown covers the equity portion of your portfolio only.
The portfolio tilts strongly toward large and mega-cap companies, with only a small allocation to mid, small, and micro caps. Large and mega caps tend to be more established, profitable businesses with steadier earnings and better liquidity, which usually means lower volatility compared with smaller firms. That fits neatly with a cautious, dividend-oriented philosophy. The downside is that you capture less of the sometimes explosive growth potential in smaller names. In practice, this cap structure should translate into smoother but somewhat more subdued equity returns, particularly in periods when small caps strongly outperform.
Looking through to the underlying holdings, the biggest names are household defensive companies like Procter & Gamble, UnitedHealth, Coca-Cola, and Johnson & Johnson. These appear across multiple ETFs, which creates “hidden” concentration even though each fund looks diversified. For example, consumer staples and healthcare giants show up several times, pushing their true weight higher than any single fund suggests. This overlap is normal for dividend and defensive strategies, but it means your returns are more tightly linked to a relatively small group of mega-cap stalwarts than the fund list alone might imply.
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 high tilts to value, yield, and low volatility, with size, momentum, and quality sitting near neutral. Factors are like underlying “personalities” of stocks that explain performance patterns over time. A high value tilt means you own more companies that look cheap relative to fundamentals. High yield and low volatility tilts mean an emphasis on steady dividend payers with historically smaller price swings. In calm or income-focused environments, this can feel very comfortable. But in speculative tech-led rallies, a value–low-vol–yield mix will often lag flashier growth stocks, which is exactly what you’ve seen versus the US market.
Risk contribution shows how much each holding drives total portfolio ups and downs, which can differ from its simple weight. Your top three equity funds hold 51% of the portfolio but contribute about 71% of the risk, meaning most volatility comes from this core trio. The iShares and Schwab US dividend ETFs, in particular, punch above their weight with risk/weight ratios around 1.4. That’s not alarming, but it’s useful to know where the real action is. If you ever wanted to further dial down swings, adjusting these core equity weights would matter far more than tweaking the smaller sector funds.
Correlation measures how closely assets move together, from -1 (opposite) to +1 (in lockstep). Your two US dividend ETFs are highly correlated, and your two international equity funds also move almost identically. This means those pairs behave more like “one big position” than four independent diversifiers. In normal times, that’s fine and expected because they fish in similar ponds. But in a downturn, they’ll likely fall together, limiting diversification benefits between them. The real diversification work here is done by the bond allocation and the sector-tilted funds, rather than by owning multiple very similar broad equity dividend vehicles.
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 efficient frontier chart, your current mix sits right on or very near the curve, meaning that for this specific set of holdings, you’re getting an efficient balance of risk and return. The Sharpe ratio of 0.47 is lower than the theoretical max Sharpe portfolio, but that optimal point requires more risk (higher volatility) than your current setup. The minimum variance mix would cut volatility sharply but also slash returns. For a cautious investor, being efficiently positioned at a moderate risk level is a strong result. You’re not leaving obvious risk–return improvements on the table given what you hold.
The overall yield of about 3.09% is quite solid for a diversified, mostly equity portfolio. That income is boosted by high-dividend and utilities funds, plus short-term bonds paying around 4.2%. Dividends can be especially helpful for cautious investors who like some tangible cash return even if prices move sideways. Just remember, yield isn’t guaranteed and can change with company policies and interest rates. Still, starting with a roughly 3% cash yield before any price appreciation provides a nice built-in return component, which aligns very well with an income-aware, lower-volatility investing style.
The average total expense ratio (TER) of 0.08% is impressively low. TER is the annual fee charged by funds, taken out of assets automatically, like a small “membership fee” for being in the ETF. Keeping this number low really matters over decades because fees compound just like returns. Here, you’re essentially getting broad diversification, factor tilts, and active design at very close to the cost of basic index tracking. That’s a meaningful positive: the structure isn’t leaking performance to high fees, which supports better long-term outcomes for the risk level you’re taking.
Select a broker that fits your needs and watch for low fees to maximize your returns.
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