Growth focused global equity portfolio with strong technology tilt and efficient risk return balance
Report created on Apr 26, 2026Risk profile
4/7
Diversification profile
4/5
Positions
-
VE Vanguard All-Equity ETF Portfolio
VEQT - CA92201C1077 60.00% -
CH Global X Artificial Intelligence Semiconductor Index ETF
CHPS - CA4405571064 20.00% -
HX Global X NASDAQ-100 Index Corporate Class ETF CAD
HXQ - CA44056R1010 20.00%
This portfolio is a simple three‑ETF setup that is 100% in equities. About 60% sits in a broad all‑equity fund, while the remaining 40% is split evenly between a NASDAQ‑100 tracker and an AI‑focused semiconductor ETF. So there is a clear “core and satellites” structure: a diversified base plus two high‑growth, more concentrated add‑ons. A fully equity portfolio means no built‑in stabilizers like bonds or cash, so day‑to‑day moves will closely follow stock markets. The upside is clarity and focus: all holdings aim at equity growth, which keeps the structure easy to understand and monitor over time.
Growth
From mid‑2021 to April 2026, a $1,000 investment in this portfolio grew to about $2,113. That works out to a compound annual growth rate (CAGR) of 16.78%, meaning the investment effectively “felt” like it grew around 16–17% per year on average. That beat both the US market (14.86%) and global market (12.38%) over the same period. The trade‑off was a maximum drawdown of about ‑26.8%, deeper than the benchmarks. The portfolio also needed roughly two years to fall and then fully recover, showing that higher growth came with some extended declines along the way.
Projection
The Monte Carlo projection uses thousands of simulated paths based on historical behaviour to show a range of possible futures. It asks, “If markets behaved in many different but statistically similar ways, where might this portfolio end up?” Over 15 years, the median outcome turns $1,000 into about $2,674, with a wide “likely” band from around $1,726 to $3,979. There are also more extreme, but still possible, outcomes on both sides. These simulations are not forecasts; they just illustrate how uncertain long‑term equity returns can be, even when starting from the same historical data and risk profile.
Asset classes
- US Equity 75%
- Stocks 25%
Asset‑class exposure is straightforward: 100% in equities, of which roughly three‑quarters look through to US stocks and the rest to international stocks. Compared with a typical broad global market mix, this is more growth‑oriented and lacks stabilizing exposure to bonds or cash. Pure equity portfolios tend to benefit more in strong markets but can experience sharper drops when conditions turn. This all‑equity stance aligns with the higher long‑run return expectations shown in the simulations, while also explaining why historical drawdowns have been relatively deep compared with more mixed stock‑and‑bond allocations.
Sectors
- Technology 43%
- Financials 13%
- Industrials 8%
- Consumer Discretionary 7%
- Telecommunications 7%
- Basic Materials 6%
- Health Care 5%
- Energy 5%
- Consumer Staples 4%
- Utilities 2%
- Real Estate 1%
This breakdown covers the equity portion of your portfolio only.
Sector‑wise, technology stands out at about 43%, much higher than in most broad global equity benchmarks. Financials are the second‑largest slice at around 13%, with the rest spread fairly evenly across industrials, consumer sectors, telecoms, materials, health care, energy, staples, utilities, and real estate. A tech‑heavy portfolio often captures innovation and growth trends but can be more sensitive to interest‑rate moves, regulatory changes, and sentiment swings toward high‑growth companies. The balanced exposure across non‑tech sectors helps, yet the tilt means the portfolio’s ups and downs will often be driven by how technology and related industries are doing.
Regions
- North America 79%
- Europe Developed 9%
- Asia Developed 6%
- Japan 3%
- Asia Emerging 2%
- Australasia 1%
- Africa/Middle East 1%
- Latin America 1%
This breakdown covers the equity portion of your portfolio only.
Geographically, about 79% of the portfolio sits in North America, with the rest spread across developed Europe, developed Asia, Japan, and small allocations to emerging regions. This lines up closely with many global stock indices, which are naturally dominated by the US. The strong North American weight means company earnings, currencies, and policy decisions in that region will have a big effect on overall returns. At the same time, the presence of Europe, Asia, and emerging markets adds exposure to different economic cycles, which helps diversify away from being entirely tied to a single region’s fortunes.
Market capitalization
- Mega-cap 49%
- Large-cap 31%
- Mid-cap 14%
- Small-cap 3%
- Micro-cap 1%
This breakdown covers the equity portion of your portfolio only.
By market capitalization, nearly half the portfolio is in mega‑cap companies, with another third in large caps. Mid‑caps, small caps, and micro‑caps together make up the remaining slice. This mirrors many global indices where the biggest names dominate. Large and mega‑cap stocks tend to be more established businesses with deeper liquidity and often more analyst coverage, which can dampen some volatility compared to very small companies. Still, the presence of mid and smaller caps means there is some exposure to higher‑growth, more volatile firms. Overall, this size mix is fairly mainstream and helps keep single‑company risk in check.
True holdings
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VT Vanguard Total Stock Market Index Fund ETF Shares 26.20%
Part of fund(s):- Vanguard All-Equity ETF Portfolio
- Vanguard US Total Market
-
VW Vanguard FTSE Emerging Markets Index Fund ETF Shares 4.30%
Part of fund(s):- Vanguard All-Equity ETF Portfolio
- Vanguard FTSE Emerging Markets All Cap Index ETF
-
NV NVIDIA Corporation 4.11%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
TS Taiwan Semiconductor Manufacturing 3.21%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
AV Broadcom Inc 3.04%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
AS ASML Holding NV ADR 2.49%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
- Vanguard All-Equity ETF Portfolio
- Vanguard FTSE Developed All Cap ex North Amer Idx ETF
-
AM Advanced Micro Devices Inc 1.45%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
RY Royal Bank of Canada 1.36%
Part of fund(s):- Vanguard All-Equity ETF Portfolio
- Vanguard FTSE Canada All Cap
-
AM Applied Materials Inc 1.19%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
LR Lam Research Corp 1.17%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
- Top 10 total 48.51%
This breakdown covers the equity portion of your portfolio only.
Looking through the ETFs, the largest underlying exposure is a very broad US total stock market fund, followed by a smaller emerging markets fund. On top of that, there is meaningful concentration in a handful of semiconductor and AI‑linked names such as NVIDIA, TSMC, Broadcom, ASML, and AMD. Several of these appear across multiple ETFs, creating overlap that boosts their combined portfolio weight. This kind of hidden concentration can be powerful in strong periods for these companies but also means their setbacks could affect the overall portfolio more than their individual fund weights might suggest at first glance.
Risk contribution
-
Vanguard All-Equity ETF Portfolio
Weight: 60.00% 42.0% -
Global X Artificial Intelligence Semiconductor Index ETF
Weight: 20.00% 35.6% -
Global X NASDAQ-100 Index Corporate Class ETF CAD
Weight: 20.00% 22.4%
Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, which can differ a lot from simple weights. Here, the broad all‑equity ETF is 60% of the portfolio but contributes only about 42% of the risk, meaning it’s relatively stable compared to the others. The AI semiconductor ETF, at just 20% weight, accounts for over 35% of total risk, reflecting its higher volatility. The NASDAQ‑100 fund sits in between. This pattern is common: more focused, growth‑oriented funds often punch above their weight in risk terms, while broad market funds anchor the ride.
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.
The risk‑return chart shows this portfolio sitting on or very close to the efficient frontier. The efficient frontier is the curve representing the best expected return for each risk level using only these holdings in different weightings. The current Sharpe ratio of 0.79, while a bit below the maximum‑Sharpe mix of 0.92, still reflects attractive risk‑adjusted returns. Since the portfolio is already near the frontier, the existing allocation uses its building blocks effectively. The minimum‑variance mix shows that lower‑risk combinations are possible, but they would likely trade away some expected return in exchange for smoother performance.
Ongoing product costs
- Global X NASDAQ-100 Index Corporate Class ETF CAD 0.25%
- Weighted costs total (per year) 0.05%
The total expense ratio (TER) for this portfolio comes out around 0.05%, which is impressively low for an all‑equity, globally diversified, and somewhat specialized setup. Low ongoing fees mean more of the portfolio’s gross return stays in the investor’s pocket each year. Over long periods, even small fee differences can compound into meaningful dollar amounts. The presence of one slightly higher‑fee ETF is more than offset by very low‑cost core holdings, so overall cost drag is minimal. This cost profile provides a strong structural foundation for long‑term compounding.
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