Emerging-market equities have drawn renewed attention as investors balance semiconductor-driven technology momentum with currency, interest-rate, and geopolitical considerations. These two ETFs are often compared because they both aim for diversified emerging-market growth, yet they approach it from very different perspectives. EEM tracks the broad MSCI Emerging Markets Index, while FRDM applies a freedom-weighted methodology that screens out less-free regimes. They are not interchangeable—one emphasizes breadth, the other prioritizes governance and focused conviction. Understanding that distinction matters when deciding between them.
EEM, managed by BlackRock and launched in 2003, is a passively managed ETF that tracks the MSCI Emerging Markets Index. It holds roughly 1,200 large- and mid-cap securities across more than 20 countries and remains one of the most liquid vehicles for broad emerging-market equity exposure. The expense ratio stands at 0.72%. Top holdings include TSM (Taiwan Semiconductor Manufacturing), Samsung Electronics, SK hynix, Tencent, Alibaba, MediaTek, and China Construction Bank. Sector allocation is technology-heavy at roughly 44%, followed by financials near 19–20%, with consumer cyclical, industrials, communication services, and materials rounding out the portfolio. Because it is market-cap weighted, EEM naturally overweights Taiwan, South Korea, China, and India—and, by extension, large semiconductor names. This breadth includes Chinese listings and state-linked issuers, a key point of contrast with FRDM. I also checked this using Tickeron’s AI Screener to see how the holdings compare to peers in the sector.
FRDM tracks the Life + Liberty Freedom 100 Emerging Markets Index, a freedom-weighted strategy launched in 2019. The index applies 86 quantified personal and economic freedom variables from the Cato Institute and the Fraser Institute to rank countries; those with negative scores are excluded, as are state-owned enterprises with 20% or more government ownership. The fund holds roughly 100–135 securities and carries a 0.49% expense ratio. Top holdings include Samsung Electronics, SK hynix, TSM, MediaTek, LATAM Airlines, Delta Electronics, Bank Pekao, Banco de Chile, VALE, and Hon Hai Precision. Technology and financials dominate at roughly 35–46% and 22–26% respectively, with industrials and materials in smaller weights. Country exposure centers on Taiwan, South Korea, Chile, Poland, and Brazil—with no China allocation. The index is reconstituted annually each January, resulting in a lower-turnover, rules-based structure but a more concentrated and less liquid profile than EEM.
Both funds are influenced by the same macro forces. The global rollout of artificial-intelligence infrastructure and memory-chip demand has supported outsized gains in semiconductor leaders such as TSMC, Samsung, and SK hynix—names that anchor both portfolios. At the same time, a strong U.S. dollar and shifting Federal Reserve rate expectations affect emerging-market capital flows broadly, while U.S.–China trade tensions create a structural split between funds that hold Chinese equities and those that do not. For EEM, Chinese exposure brings valuation sensitivity and policy risk but also potential upside from stimulus. For FRDM, the freedom-weighting serves as a governance screen, favoring markets such as Taiwan, South Korea, Chile, and Poland that score well on economic and personal liberty—a lens that has drawn more interest amid scrutiny of authoritarian regimes. Sector risk is shared: both remain vulnerable to a technology-led drawdown given their semiconductor concentration.
Over recent market cycles, FRDM has generally outperformed broader emerging-market benchmarks, helped by its underweight to China and heavy tilt toward high-momentum Asian technology and financials. EEM, by contrast, has delivered diversified but more muted returns, as its inclusion of Chinese and Indian equities has diluted the contribution of its semiconductor winners. In recent weeks and months, both have tracked the semiconductor trade closely, but FRDM's higher concentration and lower cost have amplified relative gains—while also raising single-name and single-country risk. Relative positioning highlights a clear trade-off: EEM offers breadth, deep liquidity, and lower idiosyncratic risk, whereas FRDM offers a sharper governance filter, a lower expense ratio, and greater exposure to freedom-scoring markets at the cost of thinner trading volume and higher concentration. Volatility has historically been higher for FRDM, reflecting its smaller, more focused portfolio.
In my own research process, I frequently turn to Tickeron’s AI Screener when comparing ETFs like these. It lets me quickly filter across technical patterns, fundamentals, trends, and performance metrics to surface ideas and confirm positioning. The tool has helped me refine views on concentration, liquidity, and sector exposure without spending hours on manual work. I find it especially useful for spotting how different weighting methodologies play out across market cycles.
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I’m a trader and independent researcher. My interest lies at the intersection of financial markets, algorithms, and capital management. I develop data-driven tools and strategies and study algorithmic approaches to market analysis. I help turn complex market data into clear insights and practical systems. I believe technology should support, not replace, investment thinking
EEM may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In 39 of 43 cases where EEM's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are 90%.
The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where EEM's RSI Indicator exited the oversold zone, 19 of 22 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 86%.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
Following a +2.75% 3-day Advance, the price is estimated to grow further. Considering data from situations where EEM advanced for three days, in 272 of 320 cases, the price rose further within the following month. The odds of a continued upward trend are 85%.
The Momentum Indicator moved below the 0 level on October 05, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on EEM as a result. In 62 of 71 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 87%.
The Moving Average Convergence Divergence Histogram (MACD) for EEM turned negative on October 07, 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 47 similar instances when the indicator turned negative. In 40 of the 47 cases the stock turned lower in the days that followed. This puts the odds of success at 85%.
EEM moved below its 50-day moving average on October 08, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for EEM crossed bearishly below the 50-day moving average on October 14, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 13 of 18 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 72%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where EEM 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 80%.
The Aroon Indicator for EEM entered a downward trend on November 04, 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
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