Emerging-market equities have drawn renewed attention from investors looking for diversification, more attractive valuations compared with U.S. stocks, and exposure to the semiconductor supply chain tied to artificial intelligence. AVEM and IEMG represent two distinct routes into this space. One follows an active, factor-driven strategy while the other tracks a broad index at very low cost. Placing them side by side clarifies the trade-offs around expenses, breadth of holdings, factor exposure, and liquidity.
AVEM, the Avantis Emerging Markets Equity ETF, takes an active approach across emerging-market companies of all sizes. It targets stocks that appear attractive on value and profitability metrics. The fund typically keeps at least 80% of assets in emerging-market equities and spreads holdings across roughly 3,900 names. Its largest position, Taiwan Semiconductor Manufacturing (including both local shares and the U.S.-listed TSM ADR), sits near 6%–7% of assets. Other notable holdings include Samsung Electronics, SK Hynix, Tencent Holdings, MediaTek, BABA (Alibaba Group), and China Construction Bank.
Information technology accounts for about 28%–38% of the portfolio, with financials close behind at 20%–22%. Taiwan, China, South Korea, and India dominate geographic exposure. The 0.33% expense ratio reflects the active management style. Launched in September 2019, AVEM stands out for its systematic preference for smaller companies and higher-profitability, lower-valuation stocks rather than strict market-cap weighting. I checked this positioning using Tickeron’s AI tools to compare factor exposures across peers.
IEMG, the iShares Core MSCI Emerging Markets ETF, follows the MSCI Emerging Markets Investable Market Index. It covers large-, mid-, and small-cap names representing about 99% of emerging-market free-float market capitalization. The fund holds around 2,800 stocks and ranks among the largest and most liquid emerging-market ETFs, with more than $150 billion in AUM and a 0.09% expense ratio.
Top holdings again center on Asian technology and financial leaders. Taiwan Semiconductor Manufacturing leads at roughly 12%–14%, followed by Samsung Electronics, SK Hynix, Tencent Holdings, Alibaba Group, MediaTek, Delta Electronics, China Construction Bank, HDFC Bank, and Hon Hai Precision. Technology has recently ranged from 25%–40% of the portfolio, with financials near 18%–19%. Country weights mirror those of AVEM, led by Taiwan, China, South Korea, and India. As a market-cap-weighted vehicle, IEMG delivers straightforward, low-cost beta to the broad emerging-market universe.
Both funds feel the impact of the same forces. The artificial-intelligence buildout has elevated semiconductor and memory-chip companies in Taiwan and South Korea—names such as TSMC, Samsung Electronics, and SK Hynix—that now sit at the top of each portfolio. This has lifted technology allocations to elevated levels and increased sensitivity to global AI spending cycles. Emerging markets still trade at a discount to developed-market equities, and recent capital flows into international and emerging-market funds have supported prices. Risks remain centered on U.S. dollar strength, interest-rate paths, China’s recovery, geopolitical issues, and technology-sector concentration.
Recent market moves for both AVEM and IEMG have been driven by strength in Taiwanese and South Korean semiconductor names alongside a broader shift toward international value. IEMG’s heavier concentration in the largest technology holdings has magnified both gains and volatility when sector momentum runs strong. AVEM’s broader top holdings and tilt toward smaller-cap and value names produce a somewhat different risk-return profile, with reduced single-stock risk but less direct participation in the biggest momentum leaders. In my view, IEMG serves as efficient market beta while AVEM adds factor diversification that may lag in narrow momentum markets yet could provide ballast when leadership broadens. From what I see after reviewing signals with Tickeron’s AI Daily Buy/Sell Signals, the relative profiles remain consistent with these structural differences.
I also checked this using Tickeron’s AI Screener to see how the two ETFs compare on technical patterns, fundamentals, and volatility filters. The tool helps surface ideas across thousands of instruments more efficiently than manual work, which proved useful when evaluating concentration and sector exposure side by side.
Based on the observable structural factors, Tickeron’s AI currently favors IEMG. Its materially lower expense ratio (0.09% versus 0.33%), far greater AUM and liquidity, and coverage of roughly 99% of emerging-market capitalization create a stronger base for cost efficiency and execution. The heavier weighting in the highest-momentum technology leaders also aligns more closely with the prevailing semiconductor and AI-driven trend. While AVEM’s value and profitability tilt offers a reasonable diversification argument, the combination of low cost, scale, liquidity, and trend alignment gives IEMG the edge in the current environment. This is not a prediction of future returns and is not investment advice.
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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.
IEMG 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. In 39 of 47 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are 83%.
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 IEMG as a result. In 59 of 73 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 81%.
The Moving Average Convergence Divergence Histogram (MACD) for IEMG turned negative on October 08, 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 49 similar instances when the indicator turned negative. In 37 of the 49 cases the stock turned lower in the days that followed. This puts the odds of success at 76%.
The 10-day moving average for IEMG 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 14 of 17 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 82%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where IEMG 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 79%.
The Aroon Indicator for IEMG entered a downward trend on October 27, 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 RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where IEMG's RSI Oscillator exited the oversold zone, 16 of 20 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 80%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 43 of 56 cases where IEMG's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 77%.
Following a +2.75% 3-day Advance, the price is estimated to grow further. Considering data from situations where IEMG advanced for three days, in 268 of 322 cases, the price rose further within the following month. The odds of a continued upward trend are 83%.
IEMG may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
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