Investors seeking exposure to emerging markets often compare EEM and IEMG, two iShares ETFs from BlackRock targeting high-growth developing economies. While both provide passive access to equities in countries like Taiwan, China, India, and South Korea, they differ in scope and cost. EEM emphasizes large- and mid-cap leaders, suiting those prioritizing liquidity. IEMG extends to small-caps for broader sector exposure and lower fees, appealing to cost-conscious allocators. In today's environment of shifting U.S. interest rates and geopolitical tensions, this ETF comparison highlights structural nuances for diversified emerging markets positioning.
The iShares MSCI Emerging Markets ETF (EEM) is a passive fund launched in 2003, tracking the MSCI Emerging Markets Index. This index captures large- and mid-capitalization equities from 24 emerging markets, representing established companies driving regional growth. EEM holds 1,224 securities, with top holdings including Taiwan Semiconductor Manufacturing (TSM, 13.59%), Samsung Electronics (5.53%), and Tencent Holdings (4.07%). Sector allocations tilt toward information technology (32.94%), financials (20.62%), and consumer discretionary (10.15%). Its expense ratio stands at 0.72%, reflecting premium liquidity—average daily volume exceeds 40 million shares. EEM rebalances with the index, maintaining market-cap weighting without leverage or active overlays, ideal for core exposure with tight bid-ask spreads.
The iShares Core MSCI Emerging Markets ETF (IEMG), inception 2012, passively replicates the MSCI Emerging Markets Investable Market Index, encompassing large-, mid-, and small-cap stocks for comprehensive coverage. With 2,663 holdings, it dilutes concentration risk compared to large-cap peers. Top positions mirror EEM but at lower weights: Taiwan Semiconductor Manufacturing (11.60%), Samsung Electronics (4.79%), and Tencent Holdings (3.55%). Sectors align closely—information technology (31.05%), financials (19.50%), consumer discretionary (10.20%)—yet small-cap inclusion enhances diversification. Boasting a low 0.09% expense ratio, IEMG supports cost-efficient holding amid semi-annual distributions and market-cap rebalancing. Its structure suits long-term investors valuing breadth over ultra-high liquidity.
Emerging markets face a dynamic landscape shaped by macroeconomic drivers like U.S. Federal Reserve policy, commodity price swings, and geopolitical shifts in Asia and Latin America. Technology and financial sectors dominate both ETFs, buoyed by AI demand and digital transformation, though regulatory scrutiny in China poses risks. Capital flows favor India and Taiwan amid supply chain reshoring, while Brazil benefits from energy transitions. Broader catalysts include easing global inflation and potential rate cuts, spurring equity rotation into high-growth regions. Sector risks encompass currency volatility and policy uncertainty, underscoring the need for diversified exposure profiles in these funds.
Over recent market cycles, EEM and IEMG have exhibited correlated trajectories, reflecting shared large-cap anchors, yet IEMG's small-cap tilt introduces nuanced volatility differences. In recent weeks amid tech rallies, both benefited from heavy Taiwan and Korea weightings, with relative positioning stable due to overlapping exposures. EEM's liquidity edge shines during rotations, enabling efficient entries amid geopolitical flares, while IEMG's lower costs compound favorably over months. Performance drivers tie to sector momentum—technology outperformance offsets financials' rate sensitivity—and macro shifts like dollar weakness boosting EM currencies. IEMG often edges in risk-adjusted metrics via broader holdings, though EEM leads in high-volume trading environments.
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Tickeron’s AI currently favors IEMG due to its superior cost efficiency (0.09% vs. 0.72%), extensive diversification (2,663 holdings including small-caps), and consistent trend alignment in recent cycles. While EEM excels in liquidity, IEMG's structural advantages—lower concentration, broader exposure—position it probabilistically stronger for medium-term outperformance amid EM momentum, barring acute trading demands.
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| EEM | IEMG | EEM / IEMG | |
| Gain YTD | 25.966 | 24.498 | 106% |
| Net Assets | 30.3B | 161B | 19% |
| Total Expense Ratio | 0.72 | 0.09 | 800% |
| Turnover | 8.00 | 6.00 | 133% |
| Yield | 1.77 | 2.21 | 80% |
| Fund Existence | 23 years | 14 years | - |
| EEM | IEMG | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 79% | 2 days ago 73% |
| Stochastic ODDS (%) | 2 days ago 80% | 2 days ago 79% |
| Momentum ODDS (%) | 2 days ago 83% | 2 days ago 83% |
| MACD ODDS (%) | 2 days ago 84% | 2 days ago 86% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 83% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 81% |
| Advances ODDS (%) | 5 days ago 85% | 5 days ago 83% |
| Declines ODDS (%) | 3 days ago 81% | 3 days ago 80% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SDD | 8.99 | 0.21 | +2.37% |
| ProShares UltraShort SmallCap600 | |||
| GMEU | 8.00 | 0.04 | +0.50% |
| T-Rex 2X Long GME Daily Target ETF | |||
| VAMO | 35.40 | 0.02 | +0.04% |
| Cambria Value and Momentum ETF | |||
| JAVA | 78.91 | -0.88 | -1.10% |
| JPMorgan Active Value ETF | |||
| VGSR | 11.28 | -0.22 | -1.88% |
| Vert Global Sustainable Real Estate ETF | |||
A.I.dvisor indicates that over the last year, EEM has been closely correlated with BABA. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if EEM jumps, then BABA could also see price increases.
| Ticker / NAME | Correlation To EEM | 1D Price Change % | ||
|---|---|---|---|---|
| EEM | 100% | -0.12% | ||
| BABA - EEM | 76% Closely correlated | -3.18% | ||
| JD - EEM | 70% Closely correlated | -1.66% | ||
| KC - EEM | 70% Closely correlated | -3.16% | ||
| BILI - EEM | 69% Closely correlated | -0.69% | ||
| BIDU - EEM | 67% Closely correlated | -0.98% | ||
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A.I.dvisor indicates that over the last year, IEMG has been closely correlated with BABA. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if IEMG jumps, then BABA could also see price increases.
| Ticker / NAME | Correlation To IEMG | 1D Price Change % | ||
|---|---|---|---|---|
| IEMG | 100% | -0.16% | ||
| BABA - IEMG | 75% Closely correlated | -3.18% | ||
| JD - IEMG | 69% Closely correlated | -1.66% | ||
| BILI - IEMG | 68% Closely correlated | -0.69% | ||
| BIDU - IEMG | 66% Loosely correlated | -0.98% | ||
| BZUN - IEMG | 61% Loosely correlated | +0.37% | ||
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