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.
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.
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.
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.
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.
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.
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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.
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| DFEM | VWO | XSOE | |
| Gain YTD | 21.476 | 10.502 | 23.473 |
| Net Assets | 9.69B | 163B | 2.29B |
| Total Expense Ratio | 0.39 | 0.06 | 0.32 |
| Turnover | 9.00 | 6.00 | 18.00 |
| Yield | 1.83 | 2.43 | 1.30 |
| Fund Existence | 4 years | 21 years | 12 years |
| DFEM | VWO | XSOE | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 74% | N/A | 2 days ago 76% |
| Stochastic ODDS (%) | 2 days ago 79% | 2 days ago 86% | 2 days ago 76% |
| Momentum ODDS (%) | 2 days ago 82% | 2 days ago 83% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 86% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 75% | 2 days ago 79% | 2 days ago 79% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 80% | 2 days ago 81% |
| Advances ODDS (%) | 3 days ago 86% | 3 days ago 81% | 3 days ago 82% |
| Declines ODDS (%) | 8 days ago 77% | 8 days ago 82% | 8 days ago 81% |
| BollingerBands ODDS (%) | N/A | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 85% | 7 days ago 81% | 2 days ago 83% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| OVS | 41.28 | -0.17 | -0.41% |
| Overlay Shares Small Cap Equity ETF | |||
| FAPR | 46.30 | -0.28 | -0.61% |
| FT Vest US Equity Buffer ETF Apr | |||
| CERY | 33.72 | -0.41 | -1.20% |
| State StreetSPDRBbgEnhRlYldCmdStrNoK1ETF | |||
| METV | 18.14 | -0.35 | -1.89% |
| Roundhill Ball Metaverse ETF | |||
| COIG | 4.95 | -0.44 | -8.16% |
| Leverage Shares 2X Long COIN Daily ETF | |||
A.I.dvisor indicates that over the last year, DFEM has been loosely correlated with WB. These tickers have moved in lockstep 58% of the time. This A.I.-generated data suggests there is some statistical probability that if DFEM jumps, then WB could also see price increases.
| Ticker / NAME | Correlation To DFEM | 1D Price Change % | ||
|---|---|---|---|---|
| DFEM | 100% | -5.22% | ||
| WB - DFEM | 58% Loosely correlated | -0.41% | ||
| BCH - DFEM | 58% Loosely correlated | -2.20% | ||
| NIO - DFEM | 58% Loosely correlated | +0.79% | ||
| BSAC - DFEM | 58% Loosely correlated | -1.92% | ||
| VALE - DFEM | 57% Loosely correlated | -2.55% | ||
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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% | -3.07% | ||
| JD - VWO | 71% Closely correlated | -3.33% | ||
| BILI - VWO | 71% Closely correlated | -4.86% | ||
| BIDU - VWO | 68% Closely correlated | -1.43% | ||
| BABA - VWO | 67% Closely correlated | -2.26% | ||
| BZ - VWO | 65% Loosely correlated | -3.24% | ||
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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.
| Ticker / NAME | Correlation To XSOE | 1D Price Change % | ||
|---|---|---|---|---|
| XSOE | 100% | -5.74% | ||
| KC - XSOE | 70% Closely correlated | -1.43% | ||
| JD - XSOE | 69% Closely correlated | -3.33% | ||
| BILI - XSOE | 69% Closely correlated | -4.86% | ||
| BIDU - XSOE | 65% Loosely correlated | -1.43% | ||
| WB - XSOE | 62% Loosely correlated | -0.41% | ||
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