DFEM and VWO represent compelling options for investors seeking exposure to emerging markets equities, a segment experiencing renewed interest amid shifting global capital flows and attractive valuations relative to developed markets. While both target high-growth potential in regions like Asia and Latin America, they diverge in strategy: DFEM's active factor-based approach contrasts with VWO's passive market-cap weighting. This comparison is particularly relevant now as investors rotate toward diversified international allocations, driven by U.S. market concentration risks and emerging markets' structural tailwinds such as supply chain resilience and demographic advantages. Understanding their structural differences aids in aligning ETF selection with risk tolerance and return objectives in ETF comparisons focused on sector exposure and relative positioning.
The Dimensional Emerging Markets Core Equity 2 ETF (DFEM) is an actively managed fund issued by Dimensional Fund Advisors, launched in April 2022. Its objective is long-term capital appreciation through a broad portfolio of emerging and frontier market equities, emphasizing approved market securities comprising at least 80% of net assets. DFEM integrates factor tilts toward small-cap stocks, value (lower relative prices), and higher profitability, aiming to enhance expected returns while maintaining diversification across thousands of holdings—approximately 6,500 securities.
Top holdings include Taiwan Semiconductor Manufacturing (~9%), Samsung Electronics (~4%), and SK Hynix (~4%), with the top 10 comprising about 23% of assets. Sector allocations feature technology at ~33%, financial services ~15%, industrials ~12%, consumer cyclical ~10%, and basic materials ~8%. Country exposure skews to Taiwan (~26%), China (~20%), South Korea (~19%), and India (~12%).
The expense ratio stands at 0.39%, reflecting active management costs. Rebalancing incorporates ongoing trading to capture factor premiums without rigid quarterly schedules. DFEM's structure suits investors pursuing enhanced emerging markets exposure via systematic factor investing, benchmarked loosely against the MSCI Emerging Markets Investable Market Index (IMI) NR USD.
The Vanguard FTSE Emerging Markets ETF (VWO), issued by Vanguard and launched in 2005, is a passive fund designed to track the FTSE Emerging Markets All Cap China A Inclusion Index, which captures large-, mid-, and small-cap stocks from over 20 emerging markets, notably excluding South Korea (classified as developed by FTSE). It employs full replication or sampling for precise index alignment, holding around 5,000 securities for broad sector exposure.
Top holdings feature Taiwan Semiconductor Manufacturing (~13%), Tencent Holdings (~4%), and Alibaba Group (~3%), with the top 10 at ~24-27%. Key sectors include technology ~26%, financial services ~21%, consumer cyclical ~11%, basic materials ~8%, and communication services ~8%. Geographic focus centers on Taiwan (~25-29%), China (~24-26%), India (~14-20%), and Brazil (~4%).
With an ultra-low expense ratio of 0.06%, VWO prioritizes cost efficiency and liquidity. The index rebalances quarterly, ensuring market-cap representation. This passive structure appeals to investors seeking straightforward, low-cost emerging markets fund performance tracking.
Emerging markets equities operate in a dynamic environment shaped by macroeconomic drivers like U.S. dollar fluctuations, interest rate trajectories, and commodity supercycles. Recent capital flows into EM ETFs have hit record highs, exceeding $30 billion in early 2026 quarters, fueled by relative undervaluation and AI-driven demand for semiconductors from Taiwan and other hubs. Geopolitical tensions, including Middle East conflicts, introduce volatility risks, while regulatory shifts in China and India's growth reforms act as catalysts. Sector rotation favors technology and materials amid supply chain diversification, though currency devaluations pose headwinds. Both DFEM and VWO benefit from EM's superior GDP growth projections over developed markets, bolstered by demographics and infrastructure investments, positioning them amid ongoing global rebalancing.
In recent weeks and months, DFEM has outperformed VWO, with stronger year-to-date gains (e.g., ~24% vs. ~13%) attributed to its small-cap and profitability tilts capitalizing on tech rallies and South Korea exposure. VWO's market-cap focus has trailed amid mega-cap concentration but offers lower volatility (~5% monthly vs. DFEM's ~6-7%). Over multi-year cycles, DFEM's factor strategy has delivered superior compounded returns (~23% annualized 3-year vs. VWO's ~18%), linking to earnings resilience in holdings like semiconductors amid interest rate easing and commodity uptrends. Relative positioning favors DFEM in momentum-driven phases, while VWO shines in cost-sensitive, low-turnover scenarios; both exhibit similar drawdown profiles in downturns, underscoring EM's inherent volatility from geopolitical and macro shifts.
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 in volatile environments like emerging markets. Explore it today to uncover hidden gems in ETF comparisons and sector exposure.
Tickeron’s AI currently favors DFEM for its structural advantages in diversification (over 6,500 holdings), factor tilts enhancing trend consistency, and superior recent performance amid EM momentum. While VWO excels in cost efficiency and liquidity, DFEM's probable edge in risk-adjusted returns stems from small-cap/value/profitability exposure and South Korea allocation, positioning it better probabilistically in ongoing sector rotations toward technology and industrials.
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| DFEM | VWO | DFEM / VWO | |
| Gain YTD | 22.863 | 10.770 | 212% |
| Net Assets | 9.16B | 163B | 6% |
| Total Expense Ratio | 0.39 | 0.06 | 650% |
| Turnover | 9.00 | 6.00 | 150% |
| Yield | 1.83 | 2.43 | 75% |
| Fund Existence | 4 years | 21 years | - |
| DFEM | VWO | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 71% | 7 days ago 82% |
| Stochastic ODDS (%) | 3 days ago 86% | 3 days ago 81% |
| Momentum ODDS (%) | 3 days ago 64% | 3 days ago 76% |
| MACD ODDS (%) | 3 days ago 75% | 3 days ago 78% |
| TrendWeek ODDS (%) | 3 days ago 86% | 3 days ago 82% |
| TrendMonth ODDS (%) | 3 days ago 85% | 3 days ago 80% |
| Advances ODDS (%) | 3 days ago 86% | 3 days ago 81% |
| Declines ODDS (%) | 10 days ago 77% | 10 days ago 82% |
| BollingerBands ODDS (%) | 5 days ago 74% | 7 days ago 71% |
| Aroon ODDS (%) | 3 days ago 89% | 3 days ago 85% |
A.I.dvisor indicates that over the last year, DFEM has been loosely correlated with BCH. These tickers have moved in lockstep 59% of the time. This A.I.-generated data suggests there is some statistical probability that if DFEM jumps, then BCH could also see price increases.
| Ticker / NAME | Correlation To DFEM | 1D Price Change % | ||
|---|---|---|---|---|
| DFEM | 100% | +0.37% | ||
| BCH - DFEM | 59% Loosely correlated | +1.01% | ||
| ING - DFEM | 59% Loosely correlated | +1.79% | ||
| VALE - DFEM | 58% Loosely correlated | +2.28% | ||
| WB - DFEM | 58% Loosely correlated | +0.13% | ||
| NIO - DFEM | 58% Loosely correlated | -0.38% | ||
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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% | +0.76% | ||
| JD - VWO | 71% Closely correlated | +1.78% | ||
| BILI - VWO | 71% Closely correlated | -2.72% | ||
| BIDU - VWO | 68% Closely correlated | -0.29% | ||
| BABA - VWO | 67% Closely correlated | +0.12% | ||
| BZ - VWO | 65% Loosely correlated | -0.22% | ||
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