A strongly factor tilted growth portfolio with heavy US exposure and disciplined low cost implementation
Report created on Mar 17, 2026Risk profile
5/7
Diversification profile
3/5
Positions
-
VO Vanguard S&P 500 ETF
VOO - US9229083632 65.00% -
AV Avantis® U.S. Small Cap Value ETF
AVUV - US0250728773 15.00% -
AV Avantis® International Small Cap Value ETF
AVDV - US0250728021 10.00% -
ID Invesco S&P International Developed Momentum ETF
IDMO - US46138E2220 10.00%
This portfolio is built as a simple four-fund equity strategy: one broad large-cap fund as a core and three focused funds tilted toward smaller and cheaper companies plus a momentum sleeve. Around two-thirds sits in the broad core, with the rest in those tilts. Compared with a plain global equity benchmark, this setup is much more concentrated in one region and one asset class, but it does deliberately add style diversification through different strategies. This structure is clean and easy to manage, which is a real strength. To refine things further, adjusting the balance between the broad core and the tilts can fine-tune risk level and how closely the portfolio tracks a general stock market index.
Growth
Using a simple example, a 10,000 dollar investment growing at the historical 16.03 percent CAGR would have increased several times over a full market cycle, though that path included a roughly 36 percent peak‑to‑trough drop. CAGR, or compound annual growth rate, is like your average speed on a long road trip, smoothing out bumps along the way. The max drawdown tells you how deep the worst pothole was. Versus a typical equity benchmark, this mix has behaved like a growth‑oriented portfolio with meaningful downside but strong upside capture. While these results are impressive, they are backward‑looking; future returns can be very different, so position sizing and time horizon should reflect that uncertainty.
Projection
The Monte Carlo analysis runs 1,000 simulations using historical return and volatility patterns to estimate a range of possible future outcomes. Monte Carlo is basically a “what if” machine: it shuffles many return paths based on past data to show optimistic, typical, and poor scenarios. Here, most simulations end with strong growth, but the 5th percentile landing just below the starting value shows that a decade or so could still be flat or negative. The very high median and upper outcomes reflect the aggressive equity stance. Because these projections lean on history, they can’t capture regime shifts like new economic environments, so using them as rough guidance rather than precise forecasts is key.
Asset classes
- Stocks 100%
The portfolio is 100 percent in stocks, with no bonds or cash included in the strategic mix. That all‑equity stance aligns well with a growth profile, aiming for higher long‑term returns at the cost of larger swings along the way. Relative to a balanced benchmark that mixes stocks and bonds, this composition will likely fall more in severe downturns and recover more strongly in expansions. This allocation is coherent and intentional, which is positive. To manage real‑world needs like emergency cash or near‑term spending, it can be useful to pair this “engine” portfolio with separate low‑risk savings or to gradually introduce some defensive assets as time horizon shortens or risk capacity changes.
Sectors
- Technology 24%
- Financials 18%
- Industrials 12%
- Consumer Discretionary 11%
- Telecommunications 8%
- Health Care 7%
- Energy 6%
- Consumer Staples 5%
- Basic Materials 4%
- Utilities 2%
- Real Estate 2%
Sector exposure is fairly broad, with double‑digit weights in areas like technology, financial services, industrials, and consumer‑oriented industries, plus meaningful allocations across energy, healthcare, and others. This spread is close to common equity benchmarks, which is a strong indicator of diversification and helps avoid big bets on any single part of the economy. The tilt toward technology and cyclical areas means returns may be more sensitive to economic growth and interest rate cycles. In boom times, these sectors often lead, while they can lag during recessions or periods of sharply rising rates. Periodically checking whether any sector grows far beyond others can help decide if trimming or rebalancing would keep risk aligned with overall comfort.
Regions
- North America 83%
- Europe Developed 10%
- Japan 4%
- Australasia 1%
- Africa/Middle East 1%
- Asia Developed 1%
Geographically, the portfolio is heavily tilted toward North America, with limited exposure to Europe, Japan, and very little to emerging regions. This home‑region bias is common among investors in the USA and has actually helped over the last decade as that market outperformed many others. However, it does concentrate risk in a single economic bloc, currency, and regulatory environment. A shock specific to that region could hit the portfolio more than a global benchmark. The existing international positions are a good step toward diversification. To round things out, modestly increasing exposure to non‑domestic markets, including underrepresented regions, can smooth country‑specific risk while still keeping the core focus on familiar markets.
Market capitalization
- Mega-cap 35%
- Large-cap 27%
- Mid-cap 18%
- Small-cap 12%
- Micro-cap 7%
Market capitalization exposure spans mega, big, medium, small, and even micro companies, which is excellent for diversification by company size. Compared with a pure large‑cap index, this portfolio has a clear tilt toward smaller firms, which historically have sometimes delivered higher long‑run returns but with more volatility and bigger performance swings versus the broad market. This size spread complements the core large‑cap allocation nicely, giving access to different parts of the economic ecosystem. Because smaller companies can drop more sharply in stress periods and take longer to recover, it can be helpful to monitor how much of the portfolio’s ups and downs are driven by those smaller holdings and adjust their weight if the ride feels too rough.
True holdings
-
NV NVIDIA Corporation 5.10%
Part of fund(s):- Vanguard S&P 500 ETF
-
AA Apple Inc 4.21%
Part of fund(s):- Vanguard S&P 500 ETF
-
MS Microsoft Corporation 3.51%
Part of fund(s):- Vanguard S&P 500 ETF
-
AM Amazon.com Inc 2.55%
Part of fund(s):- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class A 2.16%
Part of fund(s):- Vanguard S&P 500 ETF
-
GO Alphabet Inc Class C 1.73%
Part of fund(s):- Vanguard S&P 500 ETF
-
AV Broadcom Inc 1.72%
Part of fund(s):- Vanguard S&P 500 ETF
-
ME Meta Platforms Inc. 1.71%
Part of fund(s):- Vanguard S&P 500 ETF
-
TS Tesla Inc 1.33%
Part of fund(s):- Vanguard S&P 500 ETF
-
BR Berkshire Hathaway Inc 0.97%
Part of fund(s):- Vanguard S&P 500 ETF
- Top 10 total 24.97%
The look‑through of top holdings shows meaningful indirect exposure to a handful of mega‑cap growth names like large technology and communication companies, despite the intentional value and size tilts. This is common with any index core, because broad market funds are heavily weighted toward the biggest companies. The coverage only uses the top ten holdings of each ETF, so overlap is probably understated; there is likely more repetition in the smaller positions. Knowing this, it can be helpful to decide whether this concentration in a few giant firms is deliberate. If not, shifting a small slice from the broad index into more diversified or style‑balanced holdings can soften the reliance on those specific firms.
Factors
Factor exposure is strongly tilted toward value, size, and low volatility, with moderate momentum and limited data on quality and yield. Factors are characteristics like “cheap versus expensive” or “small versus large” that research has linked to long‑term return patterns, similar to underlying ingredients in a recipe. A heavy value and size tilt often leads to periods of strong outperformance followed by stretches of lagging a broad market index, especially when growth stocks dominate. The low volatility tilt can soften some of the downside compared with a pure high‑beta strategy. Because factor cycles can be long, it’s important to be psychologically prepared for years when this style underperforms, rather than abandoning it after a tough patch.
Risk contribution
-
Vanguard S&P 500 ETF
Weight: 65.00% 64.4% -
Avantis® U.S. Small Cap Value ETF
Weight: 15.00% 18.8% -
Avantis® International Small Cap Value ETF
Weight: 10.00% 8.4% -
Invesco S&P International Developed Momentum ETF
Weight: 10.00% 8.4%
Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ from simple weights. Here, the broad index fund is about two‑thirds of the allocation and contributes a very similar share of total risk, indicating balanced behavior. The U.S. small‑cap value fund has a higher risk‑to‑weight ratio, adding more volatility than its size alone suggests, which is typical for smaller and cheaper stocks. The two international funds contribute slightly less risk than their weights. Overall, the top three holdings drive over ninety percent of total risk, consistent with a concentrated core‑satellite approach. Small tweaks to the size of the riskier satellite fund can fine‑tune total portfolio choppiness.
Risk vs. return
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.
Risk‑return optimization using the Efficient Frontier looks for the mix of existing holdings that offers the best trade‑off between volatility and expected return, given their historical behavior. Think of it as finding the smoothest possible ride for a chosen speed using the same set of ingredients. Because the current portfolio already blends a broad core with diversifying tilts, it likely sits reasonably close to an efficient mix for an all‑equity profile, which is encouraging. However, small shifts among the four funds might reduce volatility slightly or raise expected return at the same risk level. Optimization doesn’t judge other goals like simplicity or style preferences, so any changes should respect both math and personal comfort.
Dividends
- Avantis® International Small Cap Value ETF 3.00%
- Avantis® U.S. Small Cap Value ETF 1.80%
- Invesco S&P International Developed Momentum ETF 3.70%
- Vanguard S&P 500 ETF 1.10%
- Weighted yield (per year) 1.66%
The overall dividend yield of around 1.66 percent is modest but sensible for a growth‑oriented, factor‑tilted equity portfolio. Individual funds vary, with some income‑heavier strategies and a lower‑yielding core, reflecting different company profiles. Dividends are cash payments from companies, and over long horizons they can be a meaningful part of total return, even if they look small year to year. In a total‑return mindset, dividends and price gains work together, so a lower yield isn’t necessarily a problem if growth prospects are strong. For someone needing ongoing cash flow, this yield might feel light, and they might prefer either a higher‑yielding mix or a separate income bucket rather than reshaping this growth engine.
Ongoing product costs
- Avantis® International Small Cap Value ETF 0.36%
- Avantis® U.S. Small Cap Value ETF 0.25%
- Invesco S&P International Developed Momentum ETF 0.25%
- Vanguard S&P 500 ETF 0.03%
- Weighted costs total (per year) 0.12%
The blended ongoing cost, or total expense ratio, of roughly 0.12 percent is impressively low for an actively tilted, multi‑fund equity portfolio. TER is like a small annual service fee charged by the funds; keeping it low leaves more of the returns in the investor’s pocket. The ultra‑cheap core plus slightly higher‑cost but still reasonable factor funds is a very efficient structure. Compared with many actively managed approaches, this cost level is a real advantage over long periods, where even small fee differences compound meaningfully. Continuing to favor low‑cost vehicles when making any future allocation tweaks will help preserve this edge and support better net performance without taking on additional risk.
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