Schwab Emerging Markets Equity ETF (SCHE) and Vanguard FTSE Emerging Markets ETF (VWO) stand out as premier low-cost vehicles for emerging markets exposure, competing directly in the diversified EM equity space. Both track FTSE indices, appealing to investors seeking growth from high-potential economies like Taiwan, China, and India amid U.S. market concentration risks. Their comparison gains relevance now as capital rotates toward EM on a weakening U.S. dollar (USD), robust earnings growth projections (20%+ for EM in 2026), and diversification needs. While structurally similar, subtle differences in cap coverage and holdings count offer nuanced choices for portfolio positioning in volatile global cycles.
The Schwab Emerging Markets Equity ETF (SCHE) is a passively managed fund seeking to replicate the FTSE Emerging Index (Net), comprising large- and mid-cap companies across over 20 emerging markets. Launched in 2010, it holds approximately 2,212 stocks, providing solid diversification without small-cap exposure. Top holdings include TSM (Taiwan Semiconductor, ~16%), TCEHY (Tencent, ~3.6%), and BABA (Alibaba, ~2.9%), with the top 10 accounting for ~29% of assets.
Sector allocations tilt toward technology (31%), financial services (20%), and consumer cyclical (10%), reflecting EM growth drivers. The expense ratio is a competitive 0.07%, with low portfolio turnover (~6%) indicating quarterly or semi-annual rebalancing aligned to the index. High liquidity (median bid-ask spread 0.03%) and $12.8B AUM support efficient trading, positioning SCHE as a cost-effective core EM holding.
Vanguard FTSE Emerging Markets ETF (VWO), launched in 2005, passively tracks the FTSE Emerging Markets All Cap China A Inclusion Index, capturing large-, mid-, and small-cap stocks from emerging markets, including partial China A-shares. With over 5,000 holdings, it offers extensive diversification. Top holdings feature TSM (~13%), TCEHY (~3.6%), and BABA (~2.6%), top 10 at ~24%.
Sectors mirror peers: technology (26-30%), financial services (21%), with added small-cap breadth. The 0.06% expense ratio edges competitors, turnover ~6%, and semi-annual index reviews ensure alignment. Exceptional $123B AUM drives superior liquidity, making VWO a benchmark for broad EM access.
Emerging markets equities thrive amid 2026's supportive macro environment, fueled by a softening USD easing debt burdens, projected 20%+ EPS growth outpacing developed markets, and AI-driven demand boosting Asia supply chains. Capital inflows hit multi-year highs (~$30B into EM ETFs last year), with further diversification from U.S.-heavy portfolios. Catalysts include commodity upcycles aiding Brazil/India and policy easing in China.
Risks persist: geopolitical tensions (e.g., U.S.-China trade), volatile risk sentiment (VIX spikes), and currency fluctuations. Regulatory shifts on China A-shares and EM debt sustainability add caution, yet structural tailwinds like higher yields and growth differentials sustain appeal versus mature economies.
In recent months, SCHE and VWO have closely tracked EM uptrends, with YTD gains around 12% amid broader rallies exceeding 30% over prior year. VWO's small-cap inclusion provided slight diversification benefits during sector rotations toward tech (TSM surges) and cyclicals, while SCHE's large/mid focus aligned tightly with index benchmarks.
Volatility profiles are comparable (~5% monthly), tied to USD weakness and EM earnings cycles. SCHE exhibits marginally higher fluctuations from concentrated top holdings, versus VWO's broader base. Relative strength favors both in risk-on environments, with positioning enhanced by AI/commodity tailwinds over interest rate sensitivity.
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Tickeron’s AI leans toward VWO with moderate probability (~55-60%), citing superior diversification from 5,000+ holdings and small-cap access, lowest-in-class 0.06% expense ratio, and massive liquidity for scalable positioning. SCHE remains compelling for large/mid-cap purity at 0.07% cost, but VWO's structural breadth better captures EM momentum and risk dispersion in current cycles. Observable factors prioritize efficiency and profile over minor tracking variances.
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| SCHE | VWO | SCHE / VWO | |
| Gain YTD | 7.328 | 7.943 | 92% |
| Net Assets | 12.6B | 163B | 8% |
| Total Expense Ratio | 0.07 | 0.06 | 117% |
| Turnover | 7.00 | 6.00 | 117% |
| Yield | 2.58 | 2.43 | 106% |
| Fund Existence | 16 years | 21 years | - |
| SCHE | VWO | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 73% | 3 days ago 79% |
| Stochastic ODDS (%) | 3 days ago 79% | 3 days ago 80% |
| Momentum ODDS (%) | 3 days ago 80% | 3 days ago 82% |
| MACD ODDS (%) | 3 days ago 88% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 79% | 3 days ago 79% |
| TrendMonth ODDS (%) | 3 days ago 78% | 3 days ago 78% |
| Advances ODDS (%) | 6 days ago 82% | 6 days ago 81% |
| Declines ODDS (%) | 10 days ago 82% | 3 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 77% | 3 days ago 79% |
| Aroon ODDS (%) | 3 days ago 88% | 3 days ago 89% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IFED | 44.53 | 2.13 | +5.02% |
| ETRACS IFED Inv with the Fd TR ETN | |||
| FLCB | 21.24 | -0.09 | -0.42% |
| Franklin U.S. Core Bond ETF | |||
| CVIE | 81.39 | -3.50 | -4.12% |
| Calvert International Responsible ETF | |||
| PWRD | 110.25 | -5.04 | -4.37% |
| TCW Transform Systems ETF | |||
| BALQ | 54.89 | -2.89 | -5.01% |
| iShares Nasdaq Premium Income Active ETF | |||
A.I.dvisor indicates that over the last year, SCHE has been closely correlated with JD. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if SCHE jumps, then JD could also see price increases.
| Ticker / NAME | Correlation To SCHE | 1D Price Change % | ||
|---|---|---|---|---|
| SCHE | 100% | -4.07% | ||
| JD - SCHE | 73% Closely correlated | -1.06% | ||
| BILI - SCHE | 71% Closely correlated | -3.05% | ||
| BIDU - SCHE | 69% Closely correlated | -9.75% | ||
| NIO - SCHE | 62% Loosely correlated | -5.80% | ||
| GDS - SCHE | 61% Loosely correlated | -6.16% | ||
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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 | -3.05% | ||
| 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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