Investors looking for global equity exposure through a single fund often come across two iShares products that look comparable at first glance but differ in important ways. The iShares Global 100 ETF (IOO) focuses on the world's very largest companies, while the iShares MSCI World ETF (URTH) follows a broad developed-market benchmark. Their top holdings overlap significantly, so the real distinctions come down to concentration, cost, and sector balance. I find it useful to examine these structural differences when deciding how each fund might fit into a portfolio across varying market conditions.
IOO is a passively managed ETF that aims to track the S&P Global 100 Index, covering roughly 100 of the largest multinational companies. It typically holds around 100–120 securities through representative sampling and carries a 0.40% expense ratio. Portfolio concentration defines much of its character. Top holdings include NVDA (NVIDIA), AAPL (Apple), MSFT (Microsoft), AMZN (Amazon), GOOGL (Alphabet Class A), and AVGO (Broadcom). Information technology usually exceeds 45% of assets, followed by communication services, financials, and health care. U.S. companies make up about 80% of the fund. This setup positions IOO as a concentrated, technology-oriented play on global mega-caps rather than a widely diversified portfolio. I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.
URTH tracks the MSCI World Index, which covers large- and mid-cap equities across 23 developed markets. It typically holds more than 1,200 securities and charges a 0.24% expense ratio. Its top holdings overlap with IOO but at smaller weights: NVDA (NVIDIA), AAPL (Apple), MSFT (Microsoft), AMZN (Amazon), GOOGL (Alphabet), META (Meta Platforms), AVGO (Broadcom), and TSLA (Tesla). Sector exposure is more balanced, with information technology around 30%, alongside financials, industrials, health care, and consumer discretionary. U.S. equities represent about 72% of assets, with the rest spread across Japan, the United Kingdom, Canada, and Europe. This structure provides broader diversification and lower concentration risk.
Both ETFs are influenced by the same major theme: strong performance from U.S. mega-cap technology companies fueled by artificial intelligence spending and steady earnings growth. This has supported their largest holdings but has also narrowed returns to a limited group of names. Interest-rate expectations remain an important variable, given the sensitivity of long-duration growth stocks to policy shifts. Investor interest in international diversification has fluctuated, with flows favoring U.S. equities in risk-on environments and shifting toward value-oriented areas during recoveries. The shared risk for both funds is a potential broadening or reversal of the technology-led advance, though the degree of exposure differs.
In recent cycles, both IOO and URTH have gained from large-cap technology strength. IOO’s heavier technology weighting and smaller number of holdings have tended to magnify both gains and losses during those moves, resulting in higher volatility. URTH has shown more stable relative results, with its broader financials and industrials exposure helping to moderate technology-driven swings. When sector rotation favors value and cyclical areas, URTH’s diversification has offered more balance, while IOO’s concentrated profile has sometimes lagged. From what I see, investors should consider IOO’s greater sensitivity alongside URTH’s more measured risk-return characteristics.
I often turn to Tickeron’s AI-powered tools when comparing ETFs like these. The AI Screener lets me quickly filter for sector weights, volatility, and performance metrics across thousands of holdings, which helps confirm the diversification differences I’ve noted here. It streamlines the process of spotting how one fund stacks up against peers without manual effort. Explore the AI Screener to apply similar analysis to your own research.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
On November 11, 2026, the Stochastic Oscillator for IOO moved out of oversold territory and this could be a bullish sign for the stock. Traders may want to buy the stock or buy call options. Tickeron's A.I.dvisor looked at 51 instances where the indicator left the oversold zone. In 45 of the 51 cases the stock moved higher in the following days. This puts the odds of a move higher at over 88%.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where IOO's RSI Indicator exited the oversold zone, 15 of 21 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 71%.
Following a +1.89% 3-day Advance, the price is estimated to grow further. Considering data from situations where IOO advanced for three days, in 281 of 338 cases, the price rose further within the following month. The odds of a continued upward trend are 83%.
IOO may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Momentum Indicator moved below the 0 level on October 29, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on IOO as a result. In 55 of 70 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 79%.
The Moving Average Convergence Divergence Histogram (MACD) for IOO turned negative on October 14, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 50 similar instances when the indicator turned negative. In 35 of the 50 cases the stock turned lower in the days that followed. This puts the odds of success at 70%.
IOO moved below its 50-day moving average on October 29, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for IOO crossed bearishly below the 50-day moving average on October 26, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 11 of 14 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 79%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where IOO declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 71%.
The Aroon Indicator for IOO entered a downward trend on November 13, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows