SCHE
Price
$36.32
Change
-$0.20 (-0.55%)
Updated
Jun 17, 04:59 PM (EDT)
Net Assets
12.81B
Intraday BUY SELL Signals
SPEM
Price
$52.31
Change
-$0.25 (-0.48%)
Updated
Jun 17, 04:59 PM (EDT)
Net Assets
17.87B
Intraday BUY SELL Signals
VWO
Price
$59.85
Change
-$0.31 (-0.52%)
Updated
Jun 17, 04:59 PM (EDT)
Net Assets
162.82B
Intraday BUY SELL Signals
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SCHE or SPEM or VWO

Header iconSCHE vs SPEM vs VWO Comparison
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SCHE vs SPEM vs VWO Comparison Chart in %
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Which ETF would AI Choose? Schwab Emerging Markets Equity ETF (SCHE) vs. State Street SPDR Portfolio Emerging Markets ETF (SPEM) vs. Vanguard FTSE Emerging Markets ETF (VWO)

Key Takeaways

  • All three ETFs provide passive exposure to emerging markets equities but differ in indexes: SCHE and VWO track FTSE benchmarks, while SPEM follows the S&P Emerging BMI, leading to variations in small-cap inclusion and country classifications.
  • VWO offers the broadest diversification with over 5,000 holdings, compared to approximately 2,200 for SCHE and nearly 3,000 for SPEM, potentially reducing concentration risk.
  • Expense ratios are ultra-low across the board—0.07% for SCHE and SPEM, 0.06% for VWO—making them highly cost-efficient for long-term emerging markets allocation.
  • Technology and financials dominate sector exposures in all funds (around 50% combined), with Taiwan Semiconductor Manufacturing as the top holding in each, reflecting heavy reliance on Asian tech giants.
  • SPEM and VWO exhibit slightly higher long-term annualized returns over recent multi-year periods compared to SCHE, though all have shown resilience in recent market cycles.
  • Large AUM—$12.8B for SCHE, $18B for SPEM, $123B for VWO—supports superior liquidity profiles suitable for both retail and institutional investors.

Introduction

Comparing SCHE, SPEM, and VWO is timely amid renewed investor interest in emerging markets driven by diversification needs beyond U.S. equities and attractive valuations in developing economies. These passive ETFs all target broad emerging markets exposure but via distinct indexes: FTSE for SCHE and VWO, S&P for SPEM. This leads to nuanced differences in country inclusion—such as South Korea's treatment—and market-cap coverage, with VWO extending deepest into small caps. They compete in the same thematic space, offering tiered options for cost, breadth, and index methodology, helping investors align with risk tolerances in a landscape of geopolitical flux and shifting global capital flows.

Schwab Emerging Markets Equity ETF (SCHE) Overview

The Schwab Emerging Markets Equity ETF (SCHE) seeks to track the FTSE Emerging Index (Net), a float-adjusted market-cap-weighted benchmark of large- and mid-cap stocks across over 20 emerging markets. It holds approximately 2,212 securities, providing solid diversification. Top holdings include Taiwan Semiconductor Manufacturing Co. Ltd. (around 16%), Tencent Holdings Ltd. (3-4%), and Alibaba Group Holding Ltd. (2-3%), with sector weights emphasizing technology (31%), financial services (20%), and consumer cyclical (10%). The expense ratio is 0.07%, and portfolio turnover is low at under 6%, indicating a buy-and-hold passive structure. Distinguishing features include its tax efficiency and role as a low-cost core holding for Schwab investors.

State Street SPDR Portfolio Emerging Markets ETF (SPEM) Overview

The State Street SPDR Portfolio Emerging Markets ETF (SPEM) aims to replicate the S&P Emerging BMI Index, a float-adjusted market-cap-weighted index spanning large-, mid-, and some small-cap stocks in emerging markets. With 2,987 holdings, it balances breadth and focus. Top 10 holdings account for about 25% of assets, led by Taiwan Semiconductor Manufacturing (13.8%), Tencent Holdings (3%), Alibaba (2.6%), MediaTek (1.8%), and Delta Electronics (1.3%). Sectors are tilted toward information technology (30%), financials (20%), and consumer discretionary (10%). Expense ratio stands at 0.07%, positioning it as a cost-effective building block in the SPDR Portfolio suite with strong liquidity.

Vanguard FTSE Emerging Markets ETF (VWO) Overview

Vanguard FTSE Emerging Markets ETF (VWO) tracks the FTSE Emerging Markets All Cap China A Inclusion Index, capturing large-, mid-, and small-cap stocks across emerging markets worldwide. It boasts over 5,000 holdings for exceptional diversification. Top holdings mirror peers: Taiwan Semiconductor (13%), Tencent (3-4%), Alibaba (2-3%), with top 10 comprising about 25%. Sector breakdown features technology (26-28%), financial services (20%), and consumer cyclical (10%). At 0.06% expense ratio, it is the lowest-cost option, employing representative sampling in a fully passive structure optimized for long-term holding.

Industry and Thematic Landscape

Emerging markets equities face a dynamic environment shaped by robust capital inflows—reaching record levels in early 2026 amid U.S. equity concentration concerns—yet tempered by geopolitical tensions, including U.S.-China frictions and Middle East conflicts. Macro drivers like diverging global growth, potential U.S. rate cuts, and commodity price swings favor resource-rich nations such as Brazil and South Africa. Regulatory shifts in China, earnings growth in Indian financials, and Taiwan's semiconductor dominance bolster key holdings. However, risks persist from heightened geopolitical uncertainty, which dampens portfolio flows to emerging markets (EMs) more than developed ones, prompting flight-to-safety dynamics. Strong inflows into EM ETFs signal optimism, but EMs remain sensitive to U.S. policy and global risk-off episodes.

Performance and Positioning Comparison

In recent months, SCHE, SPEM, and VWO have delivered comparable gains, with YTD returns clustering around 12% and one-year advances near 34%, reflecting EM rebound amid global diversification trends. SPEM and VWO have edged ahead over multi-year cycles (annualized ~9.7% vs. SCHE's 9.2% over 10 years), attributable to broader small-cap tilts and index methodologies capturing more upside in Asia. Volatility profiles are similar (4.8-5%), with modest drawdowns in recent corrections under 18%. Differences stem from structural nuances: VWO's all-cap depth aids stability in uptrends, while SCHE's mid-cap focus heightens sensitivity to regional volatility; all show high correlation (~0.98), but SPEM's S&P benchmark offers slight macro resilience.

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. It identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes like emerging markets ETFs. Explore it today to uncover hidden gems in real-time.

Tickeron AI Verdict

Tickeron’s AI favors VWO with moderate conviction (65% probability) for its superior diversification (5,000+ holdings), lowest expense ratio (0.06%), and scale-driven liquidity, enhancing risk-adjusted positioning amid volatile EM cycles. While SCHE and SPEM match on costs and exhibit stable momentum, VWO's all-cap FTSE exposure better mitigates concentration risks in tech-heavy portfolios without sacrificing returns.

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. SPEM (17.9B) and SCHE (12.8B). VWO and SPEM has a higher annual dividend yield than SCHE: VWO (11.905) and SPEM (11.728) vs SCHE (10.931). SCHE was incepted earlier than SPEM and VWO: SCHE (16 years) vs SPEM (19 years) and VWO (21 years). VWO (0.06) has a lower expense ratio than SCHE (0.07) and SPEM (0.07). SCHE has a higher turnover VWO (6.00) and SPEM (1.00) vs VWO (6.00) and SPEM (1.00).
SCHESPEMVWO
Gain YTD10.93111.72811.905
Net Assets12.8B17.9B163B
Total Expense Ratio0.070.070.06
Turnover7.001.006.00
Yield2.582.482.43
Fund Existence16 years19 years21 years
TECHNICAL ANALYSIS
Technical Analysis
SCHESPEMVWO
RSI
ODDS (%)
N/A
N/A
N/A
Stochastic
ODDS (%)
Bearish Trend 2 days ago
79%
Bearish Trend 2 days ago
75%
Bearish Trend 2 days ago
77%
Momentum
ODDS (%)
Bearish Trend 2 days ago
80%
Bearish Trend 2 days ago
84%
Bearish Trend 2 days ago
82%
MACD
ODDS (%)
Bullish Trend 2 days ago
76%
Bullish Trend 2 days ago
78%
Bullish Trend 2 days ago
80%
TrendWeek
ODDS (%)
Bullish Trend 2 days ago
82%
Bullish Trend 2 days ago
82%
Bullish Trend 2 days ago
82%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
80%
Bullish Trend 2 days ago
81%
Bullish Trend 2 days ago
80%
Advances
ODDS (%)
Bullish Trend 3 days ago
82%
Bullish Trend 3 days ago
82%
Bullish Trend 3 days ago
81%
Declines
ODDS (%)
Bearish Trend 20 days ago
82%
Bearish Trend 20 days ago
81%
Bearish Trend 13 days ago
82%
BollingerBands
ODDS (%)
N/A
N/A
N/A
Aroon
ODDS (%)
Bullish Trend 2 days ago
83%
Bullish Trend 2 days ago
84%
Bullish Trend 2 days ago
82%
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SCHE
Daily Signal:
Gain/Loss:
SPEM
Daily Signal:
Gain/Loss:
VWO
Daily Signal:
Gain/Loss:
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SCHE and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SCHE
1D Price
Change %
SCHE100%
-0.52%
JD - SCHE
73%
Closely correlated
-1.66%
BILI - SCHE
71%
Closely correlated
-0.69%
BIDU - SCHE
69%
Closely correlated
-0.98%
NIO - SCHE
62%
Loosely correlated
+0.80%
GDS - SCHE
61%
Loosely correlated
-1.05%
More

SPEM and

Correlation & Price change

A.I.dvisor indicates that over the last year, SPEM 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 SPEM jumps, then JD could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SPEM
1D Price
Change %
SPEM100%
-0.49%
JD - SPEM
71%
Closely correlated
-1.66%
BILI - SPEM
70%
Closely correlated
-0.69%
BIDU - SPEM
67%
Closely correlated
-0.98%
BABA - SPEM
67%
Closely correlated
-3.18%
BZUN - SPEM
64%
Loosely correlated
+0.37%
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%
-1.12%
JD - VWO
71%
Closely correlated
-1.05%
BILI - VWO
71%
Closely correlated
-3.08%
BIDU - VWO
68%
Closely correlated
-3.45%
BABA - VWO
67%
Closely correlated
-1.40%
BZ - VWO
65%
Loosely correlated
-7.18%
More