DFEM
Price
$40.44
Change
+$1.65 (+4.25%)
Updated
Jun 11 closing price
Net Assets
8.89B
Intraday BUY SELL Signals
VWO
Price
$59.10
Change
+$1.38 (+2.39%)
Updated
Jun 11 closing price
Net Assets
162.82B
Intraday BUY SELL Signals
XSOE
Price
$48.28
Change
+$2.03 (+4.39%)
Updated
Jun 11 closing price
Net Assets
2.11B
Intraday BUY SELL Signals
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DFEM or VWO or XSOE

Header iconDFEM vs VWO vs XSOE Comparison
Open Charts DFEM vs VWO vs XSOEBanner chart's image
DFEM vs VWO vs XSOE Comparison Chart in %
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Which ETF would AI Choose? Dimensional Emerging Markets Core Equity 2 ETF (DFEM) vs. Vanguard FTSE Emerging Markets ETF (VWO) vs. WisdomTree Emerging Markets ex-State-Owned Enterprises Fund (XSOE)

Key Takeaways

  • DFEM employs a smart beta strategy emphasizing profitability and value factors with over 6,500 holdings for broad diversification, contrasting VWO's pure market-cap passive approach.
  • VWO offers the lowest expense ratio at 0.06% and massive scale with nearly 6,000 holdings, ideal for cost-sensitive, broad emerging markets exposure.
  • XSOE uniquely excludes state-owned enterprises (defined as >20% government ownership), tilting toward privately held firms with heavier technology weighting (37%).
  • All three exhibit technology dominance (26-37%), but DFEM and XSOE show greater small- and mid-cap tilts, potentially enhancing risk-adjusted returns in growth cycles.
  • Relative cost efficiency favors VWO, while DFEM and XSOE prioritize structural tilts over minimal fees, suiting factor-aware investors.
  • Diversification depth is strongest in DFEM, reducing concentration risk compared to VWO and XSOE's more selective profiles.

Introduction

Investors seeking emerging markets exposure often weigh broad benchmarks against strategically tilted funds. DFEM, VWO, and XSOE all target developing economies but diverge in methodology: VWO provides cap-weighted access to the FTSE Emerging Markets All Cap China A Inclusion Index, encompassing large-, mid-, and small-cap stocks across 20+ countries. DFEM uses a rules-based approach favoring profitable firms, enhancing diversification. XSOE differentiates by screening out state-owned enterprises, focusing on market-driven companies. These variations matter amid geopolitical tensions, supply chain shifts, and varying growth trajectories in Asia and beyond, offering tiered options from vanilla indexing to thematic purity.

Dimensional Emerging Markets Core Equity 2 ETF (DFEM) Overview

The Dimensional Emerging Markets Core Equity 2 ETF (DFEM) aims for long-term capital appreciation through a broad, diverse portfolio of emerging and frontier market equities. It employs a transparent, rules-based strategy tilting toward smaller, more profitable companies while maintaining market-like country weights. DFEM holds approximately 6,500 securities with an expense ratio of 0.39%. Top holdings include Taiwan Semiconductor Manufacturing (9.3%), Samsung Electronics (3.7%), and SK hynix (3.2%). Sector allocations emphasize technology (33%), financial services (15%), industrials (12%), consumer cyclical (10%), and basic materials (8%). As a smart beta ETF, it rebalances periodically to capture factor premiums without active manager discretion, distinguishing it via enhanced diversification and risk-adjusted potential.

Vanguard FTSE Emerging Markets ETF (VWO) Overview

The Vanguard FTSE Emerging Markets ETF (VWO) tracks the FTSE Emerging Markets All Cap China A Inclusion Index, delivering passive exposure to large-, mid-, and small-cap stocks in emerging markets. With nearly 6,000 holdings and an ultra-low expense ratio of 0.06%, it prioritizes cost efficiency and liquidity. Top holdings feature Taiwan Semiconductor Manufacturing (12.9%), Tencent Holdings (3.6%), and Alibaba Group (2.6%). Sectors are led by technology (26%), financial services (21%), consumer cyclical (11%), basic materials (8%), and industrials (8%). The fund's market-cap weighting and semi-annual rebalancing ensure faithful replication, making it a core holding for broad, low-maintenance emerging markets allocation.

WisdomTree Emerging Markets ex-State-Owned Enterprises Fund (XSOE) Overview

The WisdomTree Emerging Markets ex-State-Owned Enterprises Fund (XSOE) tracks the WisdomTree Emerging Markets ex-State-Owned Enterprises Index, excluding firms with over 20% government ownership to emphasize privately driven companies. It holds around 850 securities at a 0.32% expense ratio, annually rebalanced. Top holdings comprise Taiwan Semiconductor Manufacturing (12.8%), Samsung Electronics (6.0%), SK hynix (3.7%), and Tencent Holdings (3.1%). Sector breakdown highlights technology (37%), financial services (15%), consumer cyclical (13%), industrials (10%), and communication services (7%). This thematic structure reduces exposure to policy-sensitive entities, appealing to investors wary of state influence.

Industry and Thematic Landscape

Emerging markets face macroeconomic headwinds from U.S. interest rate policies, strengthening dollar pressures, and slowing China growth, yet benefit from supply chain diversification and rising domestic consumption in India and Southeast Asia. Capital flows have favored technology and consumer sectors amid AI demand and urbanization, while commodity exporters grapple with volatile prices. Geopolitical tensions, including U.S.-China trade frictions and regional conflicts, amplify currency risks. Regulatory shifts toward privatization in some nations contrast with state dominance elsewhere, influencing earnings for major holdings like semiconductors and banks. Sector risks include overreliance on tech exports and vulnerability to global demand cycles.

Performance and Positioning Comparison

In recent months, DFEM has shown resilient trend consistency due to its factor tilts toward profitability, exhibiting lower drawdowns than cap-weighted peers during volatility spikes. VWO mirrors broad index moves, displaying moderate volatility tied to China and Taiwan weights, with steady recovery in uptrends. XSOE often outperforms in risk-on environments, benefiting from private-sector growth bias and higher tech sensitivity, though it faces amplified drawdowns from concentration. Structural differences explain divergences: DFEM's small-cap emphasis aids in market cycles favoring value, VWO's scale minimizes tracking error, and XSOE's SOE exclusion heightens sensitivity to governance reforms. Concentration risk is lowest in DFEM, highest in XSOE.

AI Screener

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. Explore it today to refine your ETF comparison.

Tickeron AI Verdict

Tickeron’s AI favors VWO for its superior cost efficiency (0.06% expense ratio), massive diversification (nearly 6,000 holdings), and stable momentum in recent market cycles, offering optimal risk-adjusted positioning for most portfolios. DFEM suits factor enthusiasts with its profitability tilt, while XSOE appeals probabilistically in privatization tailwinds, but VWO's structural edge prevails broadly.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

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SUMMARIES
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FUNDAMENTALS
Fundamentals
VWO has more net assets: 163B vs. DFEM (8.89B) and XSOE (2.11B). XSOE has a higher annual dividend yield than DFEM and VWO: XSOE (23.884) vs DFEM (22.409) and VWO (9.933). DFEM was incepted earlier than VWO and XSOE: DFEM (4 years) vs VWO (21 years) and XSOE (12 years). VWO (0.06) has a lower expense ratio than XSOE (0.32) and DFEM (0.39). XSOE has a higher turnover DFEM (9.00) and VWO (6.00) vs DFEM (9.00) and VWO (6.00).
DFEMVWOXSOE
Gain YTD22.4099.93323.884
Net Assets8.89B163B2.11B
Total Expense Ratio0.390.060.32
Turnover9.006.0018.00
Yield1.832.431.30
Fund Existence4 years21 years12 years
TECHNICAL ANALYSIS
Technical Analysis
DFEMVWOXSOE
RSI
ODDS (%)
Bearish Trend 1 day ago
71%
Bearish Trend 4 days ago
82%
Bearish Trend 1 day ago
74%
Stochastic
ODDS (%)
Bullish Trend 1 day ago
81%
Bullish Trend 1 day ago
86%
Bullish Trend 1 day ago
82%
Momentum
ODDS (%)
Bearish Trend 1 day ago
66%
Bearish Trend 1 day ago
72%
Bearish Trend 1 day ago
73%
MACD
ODDS (%)
Bearish Trend 1 day ago
77%
Bearish Trend 1 day ago
80%
Bearish Trend 1 day ago
70%
TrendWeek
ODDS (%)
Bearish Trend 1 day ago
75%
Bearish Trend 1 day ago
79%
Bearish Trend 1 day ago
79%
TrendMonth
ODDS (%)
Bearish Trend 1 day ago
73%
Bearish Trend 1 day ago
78%
Bullish Trend 1 day ago
81%
Advances
ODDS (%)
Bullish Trend 10 days ago
86%
Bullish Trend 3 days ago
81%
Bullish Trend 3 days ago
82%
Declines
ODDS (%)
Bearish Trend 7 days ago
77%
Bearish Trend 7 days ago
82%
Bearish Trend 7 days ago
81%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
74%
Bearish Trend 4 days ago
71%
Bearish Trend 2 days ago
74%
Aroon
ODDS (%)
Bullish Trend 1 day ago
88%
Bullish Trend 1 day ago
86%
Bullish Trend 1 day ago
87%
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DFEM
Daily Signal:
Gain/Loss:
VWO
Daily Signal:
Gain/Loss:
XSOE
Daily Signal:
Gain/Loss:
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DFEM and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To DFEM
1D Price
Change %
DFEM100%
+4.25%
BCH - DFEM
59%
Loosely correlated
+2.92%
WB - DFEM
58%
Loosely correlated
-0.39%
VALE - DFEM
58%
Loosely correlated
+2.88%
NIO - DFEM
58%
Loosely correlated
+0.97%
ING - DFEM
58%
Loosely correlated
+3.38%
More

VWO and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To VWO
1D Price
Change %
VWO100%
+2.39%
JD - VWO
71%
Closely correlated
-1.37%
BILI - VWO
71%
Closely correlated
+1.52%
BIDU - VWO
68%
Closely correlated
-1.17%
BABA - VWO
67%
Closely correlated
-1.43%
BZ - VWO
65%
Loosely correlated
+3.66%
More

XSOE and

Correlation & Price change

A.I.dvisor indicates that over the last year, XSOE has been closely correlated with KC. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if XSOE jumps, then KC could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To XSOE
1D Price
Change %
XSOE100%
+4.39%
KC - XSOE
70%
Closely correlated
-1.72%
JD - XSOE
69%
Closely correlated
-1.37%
BILI - XSOE
69%
Closely correlated
+1.52%
BIDU - XSOE
65%
Loosely correlated
-1.17%
WB - XSOE
62%
Loosely correlated
-0.39%
More