A highly concentrated mega cap portfolio with strong quality tilt and very limited diversification

as of Mar 16, 2026

Risk profile

  • Secure
    Speculative

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.

Diversification profile

  • Focused
    Diversified

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.

What type of investor this portfolio is suitable for

Growth Investors

This setup fits someone with high risk tolerance, a strong belief in a few specific companies, and a long‑term growth focus. It suits an investor comfortable with sizable portfolio swings, including the possibility of sharp drawdowns tied to single‑company news. Goals might include aggressive capital appreciation, funding future big-ticket needs, or building significant wealth over decades rather than generating near‑term income. Patience and emotional resilience are important, since the path can be bumpy even if long‑term prospects look attractive. An individual who closely follows company fundamentals and is willing to review concentration risk periodically would be best aligned with this concentrated, conviction‑driven style.

Positions

  • Apple Inc
    AAPL - US0378331005
    72.21%
  • International Business Machines
    IBM - US4592001014
    27.79%

This portfolio is extremely concentrated, with just two individual stocks and more than seventy percent in a single name. Compared with a broad market benchmark that often holds hundreds of positions across many industries and asset types, this structure is narrow and focused. Such concentration can magnify both gains and losses, since the outcome depends heavily on a couple of companies. For someone seeking more balance, gradually adding more holdings or a diversified fund could spread risk without changing the overall growth orientation. For someone intentionally running a focused approach, setting clear rules on maximum position size and periodic reviews can help keep the concentration aligned with personal comfort.

Growth Info

Historically, the results have been very strong: a Compound Annual Growth Rate (CAGR) of about 24.8%, meaning a hypothetical $10,000 could have grown to roughly $96,000 over ten years if that rate persisted each year. However, the portfolio also experienced a maximum drawdown of about -36%, which is a large temporary loss that many benchmarks diversified across sectors would typically dampen somewhat. Only 38 days made up 90% of total returns, showing how a few big days drove performance. That pattern is normal for concentrated, growth‑oriented holdings. It is worth remembering that past returns, especially from a few successful names, cannot be relied on to repeat.

Projection Info

The Monte Carlo analysis uses historical data and volatility patterns to simulate many possible future paths for the portfolio, like running 1,000 “what if” market scenarios. The median outcome suggests very strong potential growth, but the 5th percentile finishing near breakeven shows that poor outcomes are still possible. Monte Carlo results are not forecasts; they simply remix past ups and downs to show a range of plausible futures. For decision‑making, it helps to focus on whether the downside paths are tolerable. If a scenario where the portfolio stagnates or drops significantly would cause major stress, introducing more diversification and slightly tempering expected returns could create a smoother ride.

Asset classes Info

  • Stocks
    100%

All assets here are in a single class: individual stocks. In contrast, many growth‑oriented benchmarks include a mix of stocks, some bonds, and sometimes cash or other assets. Having only one asset class can increase sensitivity to equity market cycles, since there is nothing structurally more defensive to offset large market swings. This pure‑equity approach aligns with a growth profile, but it puts more pressure on an investor’s time horizon and emotional resilience. To reduce reliance on stock markets alone, even a small allocation to different asset types can help cushion downturns and provide optionality for rebalancing when equities become particularly volatile.

Sectors Info

  • Technology
    100%

Sector exposure is entirely in technology, which is known for innovation and growth but also for cyclical swings driven by interest rates, regulation, and changing demand for digital solutions. Common benchmarks typically spread exposure across many sectors such as healthcare, financials, and consumer businesses, which tend not to move in lockstep. A tech‑only approach can perform impressively when innovation is rewarded and rates are favorable but may suffer when markets rotate toward more defensive or value‑oriented areas. Keeping tech as a core but gradually adding exposure to other sectors can keep the growth identity while reducing vulnerability to a single industry’s cycle and news flow.

Regions Info

  • North America
    100%

Geographic exposure is fully concentrated in North America, which aligns closely with many domestic benchmarks and has been a strong performer over the last decade. This alignment is positive in the sense that it reflects a leading global economy with highly profitable, innovative companies. However, it also means missing potential diversification from other regions, which may perform differently during currency shifts, local policy changes, or regional growth spurts. Adding even a modest allocation to other developed or global markets can reduce reliance on a single economic zone. The goal is not to chase foreign markets, but to avoid having one region dictate the entire portfolio outcome.

Market capitalization Info

  • Mega-cap
    100%

The portfolio is fully invested in mega‑cap companies, the largest firms by market value. These businesses often have strong competitive positions, global reach, and solid balance sheets, contributing to the high quality profile reflected in the factor data. This is a strength, as mega caps can be more resilient than smaller firms in economic slowdowns. However, a strict mega‑cap focus also means limited participation in smaller, faster‑growing companies that sometimes outperform over very long periods. A small allocation to mid or smaller companies, whether individually or through diversified vehicles, can introduce additional growth drivers while the core remains anchored in stable, established leaders.

Factors Info

Value
Preference for undervalued stocks
Slight tilt
Data availability: 100%
Size
Exposure to smaller companies
Neutral
Data availability: 100%
Momentum
Exposure to recently outperforming stocks
Moderate tilt
Data availability: 100%
Quality
Preference for financially healthy companies
Strong tilt
Data availability: 100%
Yield
Preference for dividend-paying stocks
Moderate tilt
Data availability: 100%
Low Volatility
Preference for stable, lower-risk stocks
Moderate tilt
Data availability: 100%

Factor exposure shows strong tilts to quality, low volatility, and momentum, with moderate value and yield, and neutral size. Factors are characteristics like “quality” or “momentum” that academic research links to long‑term returns, similar to ingredients that shape a recipe’s flavor. High quality and low volatility tilts suggest companies with stable earnings and relatively smoother price behavior, which is reassuring. Momentum exposure implies these stocks have been recent winners, which can enhance returns during strong trends but may lead to sharper pullbacks if leadership changes. With multiple positive tilts, the profile is attractive, though a bit reliant on continued strength in already successful names.

Risk contribution Info

  • Apple Inc
    Weight: 72.21%
    82.4%
  • International Business Machines
    Weight: 27.79%
    17.6%
  • Top 3 risk contribution 100.0%

Risk contribution highlights how much each holding drives overall volatility, which can differ from simple weight. Here, the largest position at about 72% weight contributes more than 82% of total risk, meaning the portfolio’s ups and downs are dominated by that single stock. This is a classic sign of concentrated risk, even though there is a secondary holding. If that main company faces a setback, the whole portfolio feels it. For someone comfortable with this, it’s still wise to set a maximum risk share for any single position. Rebalancing periodically or adding additional holdings can align risk contribution more closely with desired exposure.

Dividends Info

  • Apple Inc 0.40%
  • International Business Machines 2.70%
  • Weighted yield (per year) 1.04%

The overall dividend yield of around 1% is relatively modest, driven by a low payout from the larger holding and a higher yield from the smaller one. Dividends are cash payments from companies and can provide a steady income component, helpful for reinvestment or spending needs. This profile leans more toward capital growth than income, which fits a growth classification but offers limited cushion from regular cash flows during volatile periods. If reliable income is a goal, gradually mixing in higher‑yielding but still high‑quality holdings or income‑focused vehicles could raise the portfolio’s yield while maintaining an equity‑led approach to long‑term wealth building.

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.

Risk versus return for this portfolio can be examined using the Efficient Frontier, which shows the best possible risk‑return combinations using the current holdings and different mixes between them. Efficiency here means achieving the highest expected return for a given level of volatility, not necessarily maximizing diversification or minimizing drawdowns. Because one stock dominates both weight and risk, many possible mixes will likely show that slightly reducing that position and increasing the smaller one can improve the risk‑return ratio. Beyond that, adding more holdings would create a new frontier altogether, potentially offering smoother outcomes without giving up the overall growth orientation.

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