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XCNY vs. EMSF
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

XCNY vs. EMSF - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in SPDR S&P Emerging Markets ex-China ETF (XCNY) and Matthews Emerging Markets Sustainable Future Active ETF (EMSF). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, XCNY achieves a 15.72% return, which is significantly lower than EMSF's 30.73% return.


XCNY

1D
0.95%
1M
-2.62%
6M
10.07%
YTD
15.72%
1Y
28.31%
3Y*
5Y*
10Y*
ALL TIME*
16.79%

EMSF

1D
0.83%
1M
-8.36%
6M
17.49%
YTD
30.73%
1Y
42.52%
3Y*
5Y*
10Y*
ALL TIME*
15.92%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$80.02K$93.23K$184.42K
$13.05K$15.72K$16.80K

XCNY vs. EMSF - Yearly Performance Comparison


2026 (YTD)20252024
XCNY
SPDR S&P Emerging Markets ex-China ETF
15.72%20.42%-3.63%
EMSF
Matthews Emerging Markets Sustainable Future Active ETF
30.73%19.20%-2.26%

Correlation

The correlation between XCNY and EMSF is 0.89, meaning they have usually moved in the same direction, including during past declines.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.89

Correlation (All Time)
Calculated using the full available price history since Sep 5, 2024

0.82

The correlation between XCNY and EMSF has been stable across timeframes, ranging from 0.82 to 0.89 - a consistent structural relationship.

XCNY vs. EMSF - Sectors Allocation Comparison


Sectors
XCNY
EMSF

Technology

39.5%
52.8%

Financial Services

21.5%
15.0%

Basic Materials

7.9%

-

Industrials

7.6%
11.0%

Consumer Cyclical

5.3%
6.3%

Energy

4.1%

-

Consumer Defensive

3.3%
3.6%

Communication Services

3.3%
1.7%

Utilities

3.0%
2.1%

Healthcare

2.6%
6.0%

Real Estate

2.1%
1.6%

Technology

XCNY
39.5%
EMSF
52.8%

Financial Services

XCNY
21.5%
EMSF
15.0%

Basic Materials

XCNY
7.9%
EMSF

-

Industrials

XCNY
7.6%
EMSF
11.0%

Consumer Cyclical

XCNY
5.3%
EMSF
6.3%

Energy

XCNY
4.1%
EMSF

-

Consumer Defensive

XCNY
3.3%
EMSF
3.6%

Communication Services

XCNY
3.3%
EMSF
1.7%

Utilities

XCNY
3.0%
EMSF
2.1%

Healthcare

XCNY
2.6%
EMSF
6.0%

Real Estate

XCNY
2.1%
EMSF
1.6%

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Return for Risk

XCNY vs. EMSF — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

XCNY
XCNY Risk / Return Rank: 6565
Overall Rank
XCNY Sharpe Ratio Rank: 6464
Sharpe Ratio Rank
XCNY Sortino Ratio Rank: 6161
Sortino Ratio Rank
XCNY Omega Ratio Rank: 6464
Omega Ratio Rank
XCNY Calmar Ratio Rank: 6868
Calmar Ratio Rank
XCNY Martin Ratio Rank: 6666
Martin Ratio Rank

EMSF
EMSF Risk / Return Rank: 5757
Overall Rank
EMSF Sharpe Ratio Rank: 5757
Sharpe Ratio Rank
EMSF Sortino Ratio Rank: 5252
Sortino Ratio Rank
EMSF Omega Ratio Rank: 5858
Omega Ratio Rank
EMSF Calmar Ratio Rank: 6060
Calmar Ratio Rank
EMSF Martin Ratio Rank: 5959
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

XCNY vs. EMSF - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SPDR S&P Emerging Markets ex-China ETF (XCNY) and Matthews Emerging Markets Sustainable Future Active ETF (EMSF). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.

Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.


XCNYEMSFDifference
Sharpe ratioReturn per unit of total volatility

+0.13

Sortino ratioReturn per unit of downside risk

+0.21

Omega ratioGain probability vs. loss probability

1.28

1.25

+0.02

Calmar ratioReturn relative to maximum drawdown

2.40

2.10

+0.30

Martin ratioReturn relative to average drawdown

7.99

7.05

+0.94

XCNY vs. EMSF - Sharpe Ratio Comparison

The current XCNY Sharpe Ratio is 1.49, which is comparable to the EMSF Sharpe Ratio of 1.36. The chart below compares the historical Sharpe Ratios of XCNY and EMSF, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

XCNY vs. EMSF - Drawdown Comparison

The maximum XCNY drawdown since its inception was -19.70%, smaller than the maximum EMSF drawdown of -24.75%. Use the drawdown chart below to compare losses from any high point for XCNY and EMSF.


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Drawdown Indicators


XCNYEMSFDifference

Max Drawdown

Largest peak-to-trough decline

-19.70%

-24.75%

+5.05%

Max Drawdown (1Y)

Largest decline over 1 year

-11.86%

-19.49%

+7.63%

Current Drawdown

Current decline from peak

-6.26%

-15.62%

+9.36%

Average Drawdown

Average peak-to-trough decline

-4.14%

-5.91%

+1.77%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.56%

5.80%

-2.24%

Volatility

XCNY vs. EMSF - Volatility Comparison

The current volatility for SPDR S&P Emerging Markets ex-China ETF (XCNY) is 6.99%, while Matthews Emerging Markets Sustainable Future Active ETF (EMSF) has a volatility of 10.79%. This indicates that XCNY experiences smaller price fluctuations and is considered to be less risky than EMSF based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


XCNYEMSFDifference

Volatility (1M)

Calculated over the trailing 1-month period

6.99%

10.79%

-3.80%

Volatility (6M)

Calculated over the trailing 6-month period

17.56%

26.54%

-8.98%

Volatility (1Y)

Calculated over the trailing 1-year period

19.13%

30.10%

-10.97%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

18.65%

24.40%

-5.75%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

18.65%

24.40%

-5.75%

XCNY vs. EMSF - Expense Ratio Comparison

XCNY has a 0.15% expense ratio, which is lower than EMSF's 0.79% expense ratio.


Dividends

XCNY vs. EMSF - Dividend Comparison

XCNY's dividend yield for the trailing twelve months is around 2.31%, more than EMSF's 1.44% yield.


PositionTTM202520242023
EMSF
Matthews Emerging Markets Sustainable Future Active ETF
1.44%1.88%3.29%0.02%
XCNY
SPDR S&P Emerging Markets ex-China ETF
2.31%2.68%1.07%0.00%

Frequently Asked Questions


XCNY and EMSF have a correlation of 0.89, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

EMSF has higher volatility (10.79%) compared to XCNY (6.99%). In terms of maximum drawdown, XCNY dropped -19.70% vs EMSF's -24.75%.

On 1-year performance, EMSF leads with 42.52% vs 28.31% for XCNY. On fees, XCNY is cheaper at 0.15% per year. On volatility, XCNY has been the lower-risk option at 6.99%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, EMSF has performed better with a 42.52% return vs 28.31%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

XCNY is cheaper with a 0.15% expense ratio, compared with 0.79% for EMSF.

XCNY has the higher dividend yield at 2.31%, compared with 1.44% for EMSF.

They also come from different issuers: State Street and Matthews. Their fees differ too: 0.15% for XCNY and 0.79% for EMSF.

XCNY currently has the higher Sharpe Ratio (1.49 vs 1.36), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

Find the right allocation for XCNY and EMSF

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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