Comparing DFAE, EEM, and VWO highlights strategic variations in emerging markets exposure amid shifting global capital flows and geopolitical dynamics. DFAE utilizes Dimensional's rules-based approach emphasizing profitability and value factors across broad market caps. EEM tracks the MSCI Emerging Markets Index, focusing on large- and mid-cap stocks for liquidity and benchmark alignment. VWO follows the FTSE Emerging Markets All Cap China A Inclusion Index, incorporating small-caps and China A-shares for comprehensive coverage. These ETFs compete in the diversified emerging markets category but differ in breadth, costs, and tilts, appealing to investors seeking tiered risk profiles—from concentrated liquidity (EEM) to ultra-diversified efficiency (VWO) and factor-enhanced depth (DFAE). Their relevance grows as emerging markets benefit from AI-driven tech demand and policy stimuli in key economies.
The Dimensional Emerging Core Equity Market ETF (DFAE) seeks long-term capital appreciation through a broadly diversified portfolio of emerging markets equities. It employs an active, rules-based strategy without tracking a traditional index, emphasizing securities with higher profitability while considering market capitalization and value characteristics. The fund holds approximately 6,300 stocks, providing extensive diversification.
Top holdings include Taiwan Semiconductor Manufacturing (12.4%), Samsung Electronics (5.1%), SK Hynix (4.2%), Tencent Holdings (2.5%), and Alibaba Group (1.4%). Sector allocations feature Technology at 35%, Financial Services at 17%, Industrials at 10%, Consumer Cyclical at 9%, and Basic Materials at 8%. The expense ratio is 0.29%. DFAE's distinguishing smart beta design targets smaller, profitable firms overlooked by cap-weighted indexes, with daily rebalancing to maintain factor exposures.
The iShares MSCI Emerging Markets ETF (EEM) seeks to track the MSCI Emerging Markets Index (Net), comprising large- and mid-capitalization emerging market equities across approximately 24 countries. As a passive fund, it uses representative sampling for efficient replication.
With 1,226 holdings, it prioritizes liquidity. Top holdings are Taiwan Semiconductor Manufacturing (14.4%), Samsung Electronics (6.1%), SK Hynix (4.0%), Tencent Holdings (3.3%), and Alibaba Group (2.4%). Sectors include Technology (37%), Financial Services (19%), Consumer Cyclical (9%), Industrials (7%), and Communication Services (7%). The expense ratio stands at 0.72%. EEM's large-cap focus enhances liquidity (average daily volume over 25 million shares) but increases concentration risk, with quarterly rebalancing aligned to the index.
The Vanguard FTSE Emerging Markets ETF (VWO) aims to track the FTSE Emerging Markets All Cap China A Inclusion Index, capturing large-, mid-, and small-cap stocks from emerging markets, including China A-shares. It employs full replication or sampling for precise tracking.
Featuring around 5,000 holdings, it offers broad exposure. Top holdings encompass Taiwan Semiconductor Manufacturing (12.9%), Tencent Holdings (3.6%), Alibaba Group (2.6%), Reliance Industries (0.9%), and China Construction Bank (0.9%). Sector breakdown shows Technology (26%), Financial Services (21%), Consumer Cyclical (13%), Industrials (9%), and Basic Materials (7%). The expense ratio is a low 0.06%. VWO's all-cap structure and China A inclusion promote diversification, with semi-annual rebalancing and high liquidity.
Emerging markets ETFs like DFAE, EEM, and VWO operate in a dynamic environment shaped by robust capital inflows, AI supply chain expansion, and policy shifts. In recent months, inflows have surged into single-country funds targeting South Korea, Taiwan, India, and Brazil, driven by semiconductor demand and domestic stimuli. China’s 15th Five-Year Plan emphasizes consumption and tech self-reliance, influencing holdings across these funds.
Macro drivers include a weaker U.S. dollar easing debt burdens, expected EM earnings growth outpacing developed markets, and falling global rates supporting risk assets. Geopolitical tensions—U.S.-China trade frictions, Taiwan risks—elevate volatility, while regulatory easing in India and Brazil bolsters sentiment. Sector risks persist in tech concentration amid export dependencies, but diversified earnings trends and healthier fiscal balances position EM favorably against developed market uncertainty.
In recent weeks and months through early 2026, EEM has led with stronger gains, propelled by its heavy large-cap tech weighting amid AI chip rallies in Taiwan and South Korea. DFAE and VWO trailed slightly but exhibited lower relative volatility, with VWO's all-cap breadth providing drawdown protection during rotations. Over broader cycles, all three have mirrored EM uptrends, though DFAE's factor tilts delivered modest outperformance in profitability-driven phases.
EEM's higher beta amplifies macro sensitivity and concentration risk, leading to sharper drawdowns in risk-off periods. VWO's lower volatility stems from small-cap ballast and geographic spread, while DFAE balances factor premiums with broad holdings for trend consistency. Performance divergences arise from index construction: EEM's cap-weighting favors mega-caps, VWO includes small-caps for resilience, and DFAE optimizes via profitability screens.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes including emerging markets ETFs. Explore it today to uncover hidden insights in real-time.
Tickeron’s AI favors VWO for its superior structural advantages: the lowest expense ratio (0.06%), extensive diversification across 5,000+ holdings, and balanced all-cap exposure reducing concentration risk. While EEM offers liquidity and recent momentum from large-cap tech, its higher costs erode returns over time. DFAE's smart beta provides factor edges but at elevated fees. VWO's risk-adjusted positioning and cost efficiency position it probabilistically for sustained outperformance in volatile EM cycles (65% confidence based on historical dispersions).
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| DFAE | EEM | VWO | |
| Gain YTD | 17.283 | 18.059 | 7.943 |
| Net Assets | 9.66B | 30.8B | 163B |
| Total Expense Ratio | 0.29 | 0.72 | 0.06 |
| Turnover | 6.00 | 8.00 | 6.00 |
| Yield | 1.76 | 1.77 | 2.43 |
| Fund Existence | 6 years | 23 years | 21 years |
| DFAE | EEM | VWO | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 85% | 2 days ago 84% | 2 days ago 79% |
| Stochastic ODDS (%) | 2 days ago 82% | 2 days ago 82% | 2 days ago 80% |
| Momentum ODDS (%) | 2 days ago 88% | 2 days ago 88% | 2 days ago 82% |
| MACD ODDS (%) | 2 days ago 87% | 2 days ago 86% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 79% | 2 days ago 79% | 2 days ago 79% |
| TrendMonth ODDS (%) | 2 days ago 80% | 2 days ago 79% | 2 days ago 78% |
| Advances ODDS (%) | 5 days ago 83% | 5 days ago 85% | 5 days ago 81% |
| Declines ODDS (%) | 2 days ago 79% | 2 days ago 81% | 2 days ago 82% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 86% | 2 days ago 79% |
| Aroon ODDS (%) | 2 days ago 84% | 2 days ago 84% | 2 days ago 89% |
A.I.dvisor indicates that over the last year, DFAE has been closely correlated with KC. These tickers have moved in lockstep 67% of the time. This A.I.-generated data suggests there is a high statistical probability that if DFAE jumps, then KC could also see price increases.
| Ticker / NAME | Correlation To DFAE | 1D Price Change % | ||
|---|---|---|---|---|
| DFAE | 100% | -6.38% | ||
| KC - DFAE | 67% Closely correlated | -6.70% | ||
| BCH - DFAE | 61% Loosely correlated | -1.64% | ||
| BZUN - DFAE | 61% Loosely correlated | -0.75% | ||
| BSAC - DFAE | 60% Loosely correlated | -1.96% | ||
| GDS - DFAE | 60% Loosely correlated | -6.13% | ||
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A.I.dvisor indicates that over the last year, VWO has been closely correlated with JD. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if VWO jumps, then JD could also see price increases.
| Ticker / NAME | Correlation To VWO | 1D Price Change % | ||
|---|---|---|---|---|
| VWO | 100% | -3.78% | ||
| JD - VWO | 71% Closely correlated | -1.06% | ||
| BILI - VWO | 71% Closely correlated | -3.08% | ||
| BIDU - VWO | 68% Closely correlated | -9.75% | ||
| BABA - VWO | 67% Closely correlated | -3.88% | ||
| BZ - VWO | 65% Loosely correlated | -1.47% | ||
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