PortfoliosLab logoPortfoliosLab logo
EMHC vs. XEMD
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

EMHC vs. XEMD - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in SPDR Bloomberg Emerging Markets USD Bond ETF (EMHC) and BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, EMHC achieves a 0.55% return, which is significantly lower than XEMD's 2.49% return.


EMHC

1D
-0.08%
1M
-1.67%
6M
0.23%
YTD
0.55%
1Y
6.90%
3Y*
7.66%
5Y*
1.15%
10Y*
ALL TIME*
1.66%

XEMD

1D
0.02%
1M
-0.82%
6M
1.43%
YTD
2.49%
1Y
8.65%
3Y*
10.14%
5Y*
10Y*
ALL TIME*
9.24%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$1.11M$1.05M$1.14M
$5.44M$11.46M$8.01M

EMHC vs. XEMD - Yearly Performance Comparison


2026 (YTD)2025202420232022
EMHC
SPDR Bloomberg Emerging Markets USD Bond ETF
0.55%14.07%3.52%10.06%3.73%
XEMD
BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF
2.49%13.98%8.77%10.26%2.40%

Correlation

The correlation between EMHC and XEMD 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 (3Y)
Balances recent behavior with more history.

0.86

Correlation (All Time)
Calculated using the full available price history since Jun 30, 2022

0.90

The correlation between EMHC and XEMD has been stable across timeframes, ranging from 0.86 to 0.90 - a consistent structural relationship.

Compare stocks, funds, or ETFs

Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.


Return for Risk

EMHC vs. XEMD — Risk / Return Rank

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

EMHC
EMHC Risk / Return Rank: 5454
Overall Rank
EMHC Sharpe Ratio Rank: 5555
Sharpe Ratio Rank
EMHC Sortino Ratio Rank: 5858
Sortino Ratio Rank
EMHC Omega Ratio Rank: 5555
Omega Ratio Rank
EMHC Calmar Ratio Rank: 4646
Calmar Ratio Rank
EMHC Martin Ratio Rank: 5555
Martin Ratio Rank

XEMD
XEMD Risk / Return Rank: 8181
Overall Rank
XEMD Sharpe Ratio Rank: 8282
Sharpe Ratio Rank
XEMD Sortino Ratio Rank: 8585
Sortino Ratio Rank
XEMD Omega Ratio Rank: 8484
Omega Ratio Rank
XEMD Calmar Ratio Rank: 7373
Calmar Ratio Rank
XEMD Martin Ratio Rank: 8282
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.

EMHC vs. XEMD - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SPDR Bloomberg Emerging Markets USD Bond ETF (EMHC) and BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD). 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.


EMHCXEMDDifference
Sharpe ratioReturn per unit of total volatility

-0.56

Sortino ratioReturn per unit of downside risk

-0.85

Omega ratioGain probability vs. loss probability

1.24

1.36

-0.12

Calmar ratioReturn relative to maximum drawdown

1.65

2.53

-0.88

Martin ratioReturn relative to average drawdown

6.59

10.95

-4.37

EMHC vs. XEMD - Sharpe Ratio Comparison

The current EMHC Sharpe Ratio is 1.32, which is comparable to the XEMD Sharpe Ratio of 1.88. The chart below compares the historical Sharpe Ratios of EMHC and XEMD, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


Loading charts...

Drawdowns

EMHC vs. XEMD - Drawdown Comparison

The maximum EMHC drawdown since its inception was -28.03%, which is greater than XEMD's maximum drawdown of -10.01%. Use the drawdown chart below to compare losses from any high point for EMHC and XEMD.


Loading charts...

Drawdown Indicators


EMHCXEMDDifference

Max Drawdown

Largest peak-to-trough decline

-28.03%

-10.01%

-18.02%

Max Drawdown (1Y)

Largest decline over 1 year

-4.37%

-3.52%

-0.85%

Max Drawdown (3Y)

Largest decline over 3 years

-6.74%

-4.23%

-2.51%

Max Drawdown (5Y)

Largest decline over 5 years

-28.03%

Current Drawdown

Current decline from peak

-1.90%

-0.96%

-0.94%

Average Drawdown

Average peak-to-trough decline

-9.63%

-1.23%

-8.40%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.09%

0.81%

+0.28%

Volatility

EMHC vs. XEMD - Volatility Comparison

SPDR Bloomberg Emerging Markets USD Bond ETF (EMHC) has a higher volatility of 1.28% compared to BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD) at 0.96%. This indicates that EMHC's price experiences larger fluctuations and is considered to be riskier than XEMD based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


EMHCXEMDDifference

Volatility (1M)

Calculated over the trailing 1-month period

1.28%

0.96%

+0.32%

Volatility (6M)

Calculated over the trailing 6-month period

4.36%

3.80%

+0.56%

Volatility (1Y)

Calculated over the trailing 1-year period

5.47%

4.74%

+0.73%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

9.07%

6.80%

+2.27%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

8.87%

6.80%

+2.07%

EMHC vs. XEMD - Expense Ratio Comparison

EMHC has a 0.23% expense ratio, which is lower than XEMD's 0.29% expense ratio.


Dividends

EMHC vs. XEMD - Dividend Comparison

EMHC's dividend yield for the trailing twelve months is around 6.19%, more than XEMD's 5.82% yield.


PositionTTM20252024202320222021
EMHC
SPDR Bloomberg Emerging Markets USD Bond ETF
5.71%6.16%5.95%5.12%5.11%2.97%
XEMD
BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF
5.24%6.15%6.30%6.19%3.08%0.00%

Frequently Asked Questions


EMHC and XEMD 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.

EMHC has higher volatility (1.28%) compared to XEMD (0.96%). In terms of maximum drawdown, EMHC dropped -28.03% vs XEMD's -10.01%.

On 3-year performance, XEMD leads with 10.14% vs 7.66% for EMHC. On fees, EMHC is cheaper at 0.23% per year. On volatility, XEMD has been the lower-risk option at 0.96%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, XEMD has performed better with a 10.14% return vs 7.66%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

EMHC is cheaper with a 0.23% expense ratio, compared with 0.29% for XEMD.

EMHC has the higher dividend yield at 5.71%, compared with 5.24% for XEMD.

EMHC tracks Bloomberg Emerging USD Bond Core Index - Benchmark TR Net, while XEMD tracks JP Morgan EMBI Global Diversified Liquid 1-10 Y Maturity Index - Benchmark TR Gross. They also come from different issuers: State Street and BondBloxx. Their fees differ too: 0.23% for EMHC and 0.29% for XEMD.

XEMD currently has the higher Sharpe Ratio (1.88 vs 1.32), 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 EMHC and XEMD

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

Open Portfolio Optimizer