Schwab Emerging Markets Equity ETF (SCHE.US)

10-Year Study

SCHE.US · US · ETF

About Schwab Emerging Markets Equity ETF (SCHE.US)

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The fund generally invests in stocks that are included in the FTSE Emerging Index. The index is comprised of large and mid capitalization companies in emerging market countries, as defined by the index provider....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

Schwab Emerging Markets Equity ETF (SCHE.US) charges an annual expense ratio of 0.11%, manages approximately $12.5B in net assets, and maintains a portfolio of 46 holdings. At the portfolio level, its underlying basket trades at 1.76x sales and 2.05x book value.

Executive Summary: Schwab Emerging Markets Equity ETF has compounded at 7.7% annually over the last 10 years, with a maximum drawdown of 32.5% and an annualized volatility of 14.6%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+19.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+19.4%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+7.7%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2016-07-01$10,000
2016-08-01$10,085
2016-09-01$10,304
2016-10-01$10,335
2016-11-01$9,879
2016-12-01$9,854
2017-01-01$10,416
2017-02-01$10,681
2017-03-01$10,955
2017-04-01$11,152
2017-05-01$11,289
2017-06-01$11,358
2017-07-01$12,007
2017-08-01$12,349
2017-09-01$12,299
2017-10-01$12,583
2017-11-01$12,587
2017-12-01$13,076
2018-01-01$14,312
2018-02-01$13,479
2018-03-01$13,432
2018-04-01$13,025
2018-05-01$12,664
2018-06-01$12,117
2018-07-01$12,618
2018-08-01$12,112
2018-09-01$12,033
2018-10-01$11,148
2018-11-01$11,682
2018-12-01$11,308
2019-01-01$12,385
2019-02-01$12,293
2019-03-01$12,500
2019-04-01$12,827
2019-05-01$12,000
2019-06-01$12,689
2019-07-01$12,476
2019-08-01$12,002
2019-09-01$12,152
2019-10-01$12,800
2019-11-01$12,713
2019-12-01$13,606
2020-01-01$12,815
2020-02-01$12,308
2020-03-01$10,285
2020-04-01$11,016
2020-05-01$11,389
2020-06-01$12,157
2020-07-01$13,175
2020-08-01$13,540
2020-09-01$13,360
2020-10-01$13,600
2020-11-01$14,703
2020-12-01$15,577
2021-01-01$16,080
2021-02-01$16,314
2021-03-01$16,151
2021-04-01$16,380
2021-05-01$16,680
2021-06-01$16,814
2021-07-01$15,781
2021-08-01$16,144
2021-09-01$15,587
2021-10-01$15,807
2021-11-01$15,255
2021-12-01$15,475
2022-01-01$15,642
2022-02-01$15,041
2022-03-01$14,508
2022-04-01$13,735
2022-05-01$13,793
2022-06-01$13,299
2022-07-01$13,163
2022-08-01$13,100
2022-09-01$11,737
2022-10-01$11,355
2022-11-01$13,042
2022-12-01$12,714
2023-01-01$13,788
2023-02-01$12,848
2023-03-01$13,171
2023-04-01$13,074
2023-05-01$12,709
2023-06-01$13,297
2023-07-01$14,096
2023-08-01$13,265
2023-09-01$12,925
2023-10-01$12,509
2023-11-01$13,357
2023-12-01$13,849
2024-01-01$13,324
2024-02-01$13,782
2024-03-01$14,106
2024-04-01$14,223
2024-05-01$14,558
2024-06-01$14,857
2024-07-01$15,030
2024-08-01$15,215
2024-09-01$16,322
2024-10-01$15,830
2024-11-01$15,483
2024-12-01$15,316
2025-01-01$15,506
2025-02-01$15,627
2025-03-01$15,857
2025-04-01$15,891
2025-05-01$16,461
2025-06-01$17,355
2025-07-01$17,522
2025-08-01$18,110
2025-09-01$19,215
2025-10-01$19,497
2025-11-01$19,302
2025-12-01$19,382
2026-01-01$20,352
2026-02-01$20,909
2026-03-01$19,500
2026-04-01$21,175
2026-05-01$21,506
2026-06-01$21,485
2026-07-01$21,349
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
32.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.30
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.45
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
15.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2017 · +32.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -17.8%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
201732.7%
2018-13.5%
201920.3%
202014.5%
2021-0.7%
2022-17.8%
20238.9%
202410.6%
202526.5%
202610.1%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20265.02.7-6.78.61.6-0.1-0.610.1%
20251.20.81.50.23.65.41.03.46.11.5-1.00.426.5%
2024-3.83.42.40.82.42.01.21.27.3-3.0-2.2-1.110.6%
20238.4-6.82.5-0.7-2.84.66.0-5.9-2.6-3.26.83.78.9%
20221.1-3.8-3.5-5.30.4-3.6-1.0-0.5-10.4-3.314.9-2.5-17.8%
20213.21.5-1.01.41.80.8-6.12.3-3.51.4-3.51.4-0.7%
2020-5.8-4.0-16.47.13.46.78.42.8-1.31.88.15.914.5%
20199.5-0.71.72.6-6.45.7-1.7-3.81.25.3-0.77.020.3%
20189.4-5.8-0.3-3.0-2.8-4.34.1-4.0-0.7-7.44.8-3.2-13.5%
20175.72.52.61.81.20.65.72.9-0.42.30.03.932.7%
20160.82.20.3-4.4-0.3-1.5%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
14.6%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-3.4%
VEA.US-0.6%
VWO.US101.5%
QQQ.US-1.8%
VTV.US-0.5%
IJR.US0.0%
QUAL.US3.9%
SHV.US0.3%
TLT.US-0.4%
LQD.US1.8%
HYG.US-0.1%
GLD.US-0.1%
USO.US-0.2%
VNQ.US0.0%
BTC-USD.CC0.2%
CPER.US-0.4%
VIX.INDX-0.4%
UUP.US0.1%
TIP.US-0.2%
Idiosyncratic0.3%

Schwab Emerging Markets Equity ETF ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Expense Ratio
0.11%
14th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
89th pct
larger than 89% of 1,446 ETFs we track
Holdings Count46
Distribution Yield
2.7%
62nd pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E14.48x
Portfolio Price-to-Sales1.76x
Portfolio Price-to-Book2.05x

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+0.1%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+4.8%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
3.1% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.87
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
52
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+5.2%
50.0% retracement+8.1%
61.8% retracement+11.1%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

SCHE.US — 10-Year Return & Risk Profile

Schwab Emerging Markets Equity ETF (SCHE.US) has delivered solid annualized growth of 7.7% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $20,984, representing a total return of 110%. Over this period, SCHE.US generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for SCHE.US was 2017, with a return of +32.7%. The worst year was 2022, when the asset declined 17.8%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.30 is considered weak on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

SCHE.US — Drawdown, Volatility & Downside Risk

SCHE.US's annualized volatility of 15.6% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in SCHE.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 32.5% — a significant bear-market drawdown. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 32% drawdown, for example, requires a 48% gain just to break even.

When evaluating SCHE.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

SCHE.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 101.5% of SCHE.US's return variance to Emerging Market Equities. This means that when Emerging Market Equities rises or falls sharply, SCHE.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their SCHE.US allocation.

The second-largest macro driver is US Quality Factor, contributing 3.9% of variance. 0.3% of SCHE.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding SCHE.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding SCHE.US alongside assets with low correlation to Emerging Market Equities — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Schwab Emerging Markets Equity ETF a high-risk investment?

Schwab Emerging Markets Equity ETF (SCHE.US) has an annualized volatility of 14.6% and experienced a maximum drawdown of 32.5% over the last 10 years. Its primary macro risk driver is VWO.US.

What is the 10-year return of SCHE.US?

Over the past 10 years, SCHE.US has generated a Compound Annual Growth Rate (CAGR) of 7.7%. A $10,000 investment would have grown to approximately $20,984. It has had a positive return in 70% of calendar years.

What is SCHE.US's Sharpe ratio?

SCHE.US has a Sharpe ratio of 0.30 and a Sortino ratio of 0.45 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is SCHE.US's dividend yield?

SCHE.US has an average trailing dividend yield of 2.66%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is SCHE.US above its 200-day moving average?

SCHE.US is currently above its 200-day moving average by 4.8%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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