This portfolio is extremely simple: it holds just two individual US stocks, Microsoft and Target, each at 50%. That means there are no funds, bonds, or cash positions in the mix, and no automatic diversification beyond what these two companies provide themselves. A setup like this can be easy to understand and follow, because you always know exactly what you own. At the same time, the portfolio’s ups and downs are tied closely to the fortunes of these specific businesses. With no other asset types present, changes in either company’s earnings, sentiment, or news flow feed directly into the total portfolio value.
One or more local-currency benchmark funds are unavailable for this report.
Over the last decade, $1,000 in this portfolio grew to about $5,773, which is a compound annual growth rate (CAGR) of 19.23%. CAGR is like average speed on a road trip, showing how fast money grew per year, smoothed out. That comfortably beat the global market benchmark, which returned 12.79% annually. The portfolio did experience a sizeable max drawdown of -37.43%, meaning it once fell that much from a peak before recovering. This is slightly deeper than the benchmark’s -33.52%. The fact that 90% of total gains came from just 34 days highlights how missing a few strong days could noticeably change the outcome.
The Monte Carlo projection looks ahead 15 years by simulating many possible future paths based on historical behavior. Monte Carlo is basically a “what if?” engine: it shakes the data thousands of times to see a spread of potential results instead of one straight line. Here, the median outcome grows $1,000 to about $2,753, with a wide possible range from roughly $950 to $7,268. The average simulated annual return is 7.89%, and about 72% of paths end positive. These ranges are not promises; they just show what could happen if the future rhymes with the past. Real markets can surprise on both the upside and downside.
All of the portfolio sits in a single asset class: stocks. Asset classes are broad buckets like stocks, bonds, and cash that tend to behave differently in various environments. A 100% stock allocation means full exposure to equity market swings, with no built-in cushion from steadier assets like bonds. Compared with a global “balanced” mix that might blend stocks and bonds, this structure is more growth-focused and more sensitive to equity volatility. The benefit is straightforward upside participation during strong equity markets. The trade-off is that there’s little to offset market-wide downturns, so portfolio values can fluctuate more sharply from year to year.
Sector-wise, the portfolio is split between technology and consumer staples, each at 50%. Sectors group companies with similar business activities, like tech, consumer, or healthcare. A 50% technology exposure means a strong link to innovation, software, and digital trends, which often see faster growth but can be sensitive to interest rates and sentiment shifts. The 50% consumer staples position anchors the other half in everyday goods, which can be steadier through economic cycles. Compared to broad benchmarks that spread across many sectors, this mix is more focused, but the balance between a growth-oriented sector and a more defensive one creates a clear internal contrast.
Geographically, the portfolio is fully concentrated in North America, specifically US-listed companies. Geography matters because different regions respond differently to economic conditions, policy changes, and currency movements. Here, all company-level risk is tied to the US economy, regulatory environment, and dollar currency. This kind of single-region focus can work well when that market is strong, and the US has been a leading equity market over the last decade. Compared to global benchmarks that allocate a significant portion outside the US, this portfolio doesn’t capture those international markets, so its performance will largely mirror US-specific trends and shocks.
By market capitalization, or company size, half the portfolio is in a mega-cap stock and half in a large-cap stock. Market cap is just the total value of a company’s shares, and bigger firms often have more diversified business lines, stronger balance sheets, and deeper trading liquidity. This tilt toward the upper end of the size spectrum aligns closely with many broad market indices that are dominated by large and mega-cap companies. It also ties into the portfolio’s very low “size” factor score, indicating a strong lean away from smaller, more volatile companies. Overall, this size profile typically brings more stability than a small-cap-heavy lineup.
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 strong tilts in a few areas. Factors are like the “personality traits” of investments—characteristics such as quality or momentum that help explain returns. This portfolio has very high momentum (80%), meaning it leans toward stocks that have recently done well, which can boost returns in trending markets but may hurt during sharp reversals. Quality is also high at 70%, reflecting companies with stronger profitability and balance sheets, which often hold up better in stress. Size exposure is very low at 9%, consistent with the focus on large and mega-caps. Value, yield, and low volatility sit near neutral, so they behave more like the broad market.
Risk contribution looks at how much each holding drives overall volatility, which can differ from its simple weight. Here, Target contributes about 58% of the portfolio’s risk despite being 50% by weight, so it punches a bit above its size in terms of ups and downs. Microsoft, at the other 50%, contributes around 42% of risk, slightly below its weight. This suggests Target’s share price has been more volatile relative to its weight in the portfolio. Even though both positions are equal in dollars, the risk contribution figures show that not all 50% slices behave the same, which is useful when thinking about where portfolio swings are coming from.
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.
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The risk vs. return chart compares the current mix to an “efficient frontier,” which is the set of portfolios that deliver the best expected return for each risk level using these same holdings. Here, the current portfolio has a Sharpe ratio of 0.68, while the optimal mix of just Microsoft and Target reaches 0.93, and the minimum-variance mix sits at 0.88. Sharpe ratio measures risk-adjusted return—how much extra return you get per unit of volatility, using a risk-free rate of 4%. Because the current portfolio sits about 2.9 percentage points below the frontier, the data shows that reweighting only these two stocks could, in theory, improve its risk/return balance.
On the income side, the combined dividend yield is about 2.15%, blending Microsoft’s 0.90% with Target’s 3.40%. Dividend yield is the yearly cash payment relative to the share price, like interest from a savings account but not guaranteed. This level of yield means a modest but meaningful part of total return has come from dividends, especially from the higher-yielding Target stake. In a growth-oriented, two-stock portfolio like this, the main return driver is still share price movement, but these dividend streams can soften the impact of flat or mildly negative price periods and contribute to compounding when reinvested over time.
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