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

Performance

VGSH vs. XEMD - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Vanguard Short-Term Treasury ETF (VGSH) 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, VGSH achieves a 0.77% return, which is significantly lower than XEMD's 2.49% return.


VGSH

1D
-0.05%
1M
0.14%
6M
0.55%
YTD
0.77%
1Y
3.09%
3Y*
4.29%
5Y*
1.87%
10Y*
1.73%
ALL TIME*
1.41%

XEMD

1D
0.02%
1M
-0.62%
6M
1.43%
YTD
2.49%
1Y
8.88%
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)
$133.56M$160.92M$191.51M
$5.44M$11.46M$8.01M

VGSH vs. XEMD - Yearly Performance Comparison


2026 (YTD)2025202420232022
VGSH
Vanguard Short-Term Treasury ETF
0.77%5.07%4.00%4.31%-0.70%
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 VGSH and XEMD is 0.44, which is low. Their historical price movements had little consistent relationship.


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

0.44

Correlation (3Y)
Balances recent behavior with more history.

0.43

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

0.50

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

VGSH vs. XEMD — Risk / Return Rank

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

VGSH
VGSH Risk / Return Rank: 9191
Overall Rank
VGSH Sharpe Ratio Rank: 9292
Sharpe Ratio Rank
VGSH Sortino Ratio Rank: 9494
Sortino Ratio Rank
VGSH Omega Ratio Rank: 9393
Omega Ratio Rank
VGSH Calmar Ratio Rank: 8888
Calmar Ratio Rank
VGSH Martin Ratio Rank: 8989
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.

VGSH vs. XEMD - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Vanguard Short-Term Treasury ETF (VGSH) 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.


VGSHXEMDDifference
Sharpe ratioReturn per unit of total volatility

+0.47

Sortino ratioReturn per unit of downside risk

+0.90

Omega ratioGain probability vs. loss probability

1.49

1.36

+0.13

Calmar ratioReturn relative to maximum drawdown

3.51

2.53

+0.97

Martin ratioReturn relative to average drawdown

13.46

10.95

+2.51

VGSH vs. XEMD - Sharpe Ratio Comparison

The current VGSH Sharpe Ratio is 2.36, which is comparable to the XEMD Sharpe Ratio of 1.88. The chart below compares the historical Sharpe Ratios of VGSH 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

VGSH vs. XEMD - Drawdown Comparison

The maximum VGSH drawdown since its inception was -5.70%, smaller than the maximum XEMD drawdown of -10.01%. Use the drawdown chart below to compare losses from any high point for VGSH and XEMD.


Loading charts...

Drawdown Indicators


VGSHXEMDDifference

Max Drawdown

Largest peak-to-trough decline

-5.70%

-10.01%

+4.31%

Max Drawdown (1Y)

Largest decline over 1 year

-0.88%

-3.52%

+2.64%

Max Drawdown (3Y)

Largest decline over 3 years

-0.97%

-4.23%

+3.26%

Max Drawdown (5Y)

Largest decline over 5 years

-5.66%

Max Drawdown (10Y)

Largest decline over 10 years

-5.70%

Current Drawdown

Current decline from peak

-0.05%

-0.96%

+0.91%

Average Drawdown

Average peak-to-trough decline

-0.59%

-1.23%

+0.64%

Ulcer Index

Depth and duration of drawdowns from previous peaks

0.23%

0.81%

-0.58%

Volatility

VGSH vs. XEMD - Volatility Comparison

The current volatility for Vanguard Short-Term Treasury ETF (VGSH) is 0.36%, while BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF (XEMD) has a volatility of 0.96%. This indicates that VGSH experiences smaller price fluctuations and is considered to be less risky than XEMD based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


VGSHXEMDDifference

Volatility (1M)

Calculated over the trailing 1-month period

0.36%

0.96%

-0.60%

Volatility (6M)

Calculated over the trailing 6-month period

1.01%

3.80%

-2.79%

Volatility (1Y)

Calculated over the trailing 1-year period

1.32%

4.74%

-3.42%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

1.98%

6.80%

-4.82%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

1.58%

6.80%

-5.22%

VGSH vs. XEMD - Expense Ratio Comparison

VGSH has a 0.03% expense ratio, which is lower than XEMD's 0.29% expense ratio.


Dividends

VGSH vs. XEMD - Dividend Comparison

VGSH's dividend yield for the trailing twelve months is around 3.85%, less than XEMD's 5.82% yield.


PositionTTM20252024202320222021202020192018201720162015
VGSH
Vanguard Short-Term Treasury ETF
3.85%4.00%4.18%3.31%1.15%0.66%1.74%2.28%1.79%1.10%0.84%0.69%
XEMD
BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF
5.82%6.15%6.30%6.19%3.08%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


VGSH and XEMD have a correlation of 0.44, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

XEMD has higher volatility (0.96%) compared to VGSH (0.36%). In terms of maximum drawdown, VGSH dropped -5.70% vs XEMD's -10.01%.

On 3-year performance, XEMD leads with 10.14% vs 4.29% for VGSH. On fees, VGSH is cheaper at 0.03% per year. On volatility, VGSH has been the lower-risk option at 0.36%. 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 4.29%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

VGSH is cheaper with a 0.03% expense ratio, compared with 0.29% for XEMD.

XEMD has the higher dividend yield at 5.82%, compared with 3.85% for VGSH.

VGSH is categorized as Government Bonds, while XEMD is Emerging Markets Bonds. VGSH tracks Bloomberg U.S. Treasury 1-3 Year Index, while XEMD tracks JP Morgan EMBI Global Diversified Liquid 1-10 Y Maturity Index - Benchmark TR Gross. They also come from different issuers: Vanguard and BondBloxx. Their fees differ too: 0.03% for VGSH and 0.29% for XEMD.

VGSH currently has the higher Sharpe Ratio (2.35 vs 1.88), 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 VGSH 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