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CBON vs. VGLT
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

CBON vs. VGLT - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in VanEck Vectors ChinaAMC China Bond ETF (CBON) and Vanguard Long-Term Treasury ETF (VGLT). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, CBON achieves a 5.41% return, which is significantly higher than VGLT's -0.41% return. Over the past 10 years, CBON has outperformed VGLT with an annualized return of 2.93%, while VGLT has yielded a comparatively lower -1.10% annualized return.


CBON

1D
0.10%
1M
1.75%
YTD
5.41%
6M
6.88%
1Y
9.26%
3Y*
5.05%
5Y*
2.03%
10Y*
2.93%

VGLT

1D
-0.40%
1M
0.71%
YTD
-0.41%
6M
-1.68%
1Y
5.25%
3Y*
-0.72%
5Y*
-5.30%
10Y*
-1.10%
*Multi-year figures are annualized to reflect compound growth (CAGR)

CBON vs. VGLT - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
CBON
VanEck Vectors ChinaAMC China Bond ETF
5.41%5.46%1.85%2.92%-7.99%5.93%12.01%2.67%1.88%6.96%
VGLT
Vanguard Long-Term Treasury ETF
-0.41%5.35%-6.28%3.27%-29.34%-4.98%17.57%14.30%-1.54%8.64%

Correlation

The correlation between CBON and VGLT is 0.24, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.24

Correlation (3Y)
Calculated over the trailing 3-year period

0.24

Correlation (5Y)
Calculated over the trailing 5-year period

0.15

Correlation (10Y)
Calculated over the trailing 10-year period

0.10

Correlation (All Time)
Calculated using the full available price history since Nov 12, 2014

0.08

The correlation between CBON and VGLT shifts across timeframes, from 0.08 (all time) to 0.24 (3 years), reflecting how their relationship changes across market environments.

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Return for Risk

CBON vs. VGLT — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

CBON
CBON Risk / Return Rank: 8989
Overall Rank
CBON Sharpe Ratio Rank: 8282
Sharpe Ratio Rank
CBON Sortino Ratio Rank: 8888
Sortino Ratio Rank
CBON Omega Ratio Rank: 8787
Omega Ratio Rank
CBON Calmar Ratio Rank: 9393
Calmar Ratio Rank
CBON Martin Ratio Rank: 9393
Martin Ratio Rank

VGLT
VGLT Risk / Return Rank: 1818
Overall Rank
VGLT Sharpe Ratio Rank: 1818
Sharpe Ratio Rank
VGLT Sortino Ratio Rank: 1717
Sortino Ratio Rank
VGLT Omega Ratio Rank: 1616
Omega Ratio Rank
VGLT Calmar Ratio Rank: 1818
Calmar Ratio Rank
VGLT Martin Ratio Rank: 1818
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

CBON vs. VGLT - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for VanEck Vectors ChinaAMC China Bond ETF (CBON) and Vanguard Long-Term Treasury ETF (VGLT). 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.


CBONVGLTDifference
Sharpe ratioReturn per unit of total volatility

+2.10

Sortino ratioReturn per unit of downside risk

+3.17

Omega ratioGain probability vs. loss probability

1.54

1.10

+0.44

Calmar ratioReturn relative to maximum drawdown

6.94

0.75

+6.19

Martin ratioReturn relative to average drawdown

25.86

1.96

+23.89

CBON vs. VGLT - Sharpe Ratio Comparison

The current CBON Sharpe Ratio is 2.70, which is higher than the VGLT Sharpe Ratio of 0.59. The chart below compares the historical Sharpe Ratios of CBON and VGLT, 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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Sharpe Ratios by Period


CBONVGLTDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.70

0.59

+2.10

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.41

-0.37

+0.78

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.53

-0.08

+0.61

Sharpe Ratio (All Time)

Calculated using the full available price history

0.42

0.19

+0.24

Drawdowns

CBON vs. VGLT - Drawdown Comparison

The maximum CBON drawdown since its inception was -14.13%, smaller than the maximum VGLT drawdown of -46.18%. Use the drawdown chart below to compare losses from any high point for CBON and VGLT.


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Drawdown Indicators


CBONVGLTDifference

Max Drawdown

Largest peak-to-trough decline

-14.13%

-46.18%

+32.05%

Max Drawdown (1Y)

Largest decline over 1 year

-1.34%

-7.01%

+5.67%

Max Drawdown (3Y)

Largest decline over 3 years

-4.56%

-17.68%

+13.12%

Max Drawdown (5Y)

Largest decline over 5 years

-14.13%

-40.98%

+26.85%

Max Drawdown (10Y)

Largest decline over 10 years

-14.13%

-46.18%

+32.05%

Current Drawdown

Current decline from peak

-0.02%

-36.83%

+36.81%

Average Drawdown

Average peak-to-trough decline

-3.99%

-15.06%

+11.07%

Ulcer Index

Depth and duration of drawdowns from previous peaks

0.36%

2.68%

-2.32%

Volatility

CBON vs. VGLT - Volatility Comparison

The current volatility for VanEck Vectors ChinaAMC China Bond ETF (CBON) is 0.91%, while Vanguard Long-Term Treasury ETF (VGLT) has a volatility of 2.59%. This indicates that CBON experiences smaller price fluctuations and is considered to be less risky than VGLT based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


CBONVGLTDifference

Volatility (1M)

Calculated over the trailing 1-month period

0.91%

2.59%

-1.68%

Volatility (6M)

Calculated over the trailing 6-month period

2.62%

5.94%

-3.32%

Volatility (1Y)

Calculated over the trailing 1-year period

3.45%

8.88%

-5.43%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

4.93%

14.58%

-9.65%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

5.58%

13.81%

-8.23%

CBON vs. VGLT - Expense Ratio Comparison

CBON has a 0.50% expense ratio, which is higher than VGLT's 0.03% expense ratio.


Dividends

CBON vs. VGLT - Dividend Comparison

CBON's dividend yield for the trailing twelve months is around 1.52%, less than VGLT's 4.61% yield.


PositionTTM20252024202320222021202020192018201720162015
CBON
VanEck Vectors ChinaAMC China Bond ETF
1.52%1.66%2.15%3.01%2.70%3.05%2.87%3.87%3.39%3.33%3.25%2.78%
VGLT
Vanguard Long-Term Treasury ETF
4.61%4.44%4.33%3.33%2.84%1.82%2.15%2.46%2.71%2.55%2.69%3.21%

Frequently Asked Questions


CBON and VGLT have a correlation of 0.24, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

VGLT has higher volatility (2.59%) compared to CBON (0.91%). In terms of maximum drawdown, CBON dropped -14.13% vs VGLT's -46.18%.

On 10-year performance, CBON leads with 2.93% vs -1.10% for VGLT. On fees, VGLT is cheaper at 0.03% per year. On volatility, CBON has been the lower-risk option at 0.91%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 10-year period, CBON has performed better with a 2.93% return vs -1.10%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

VGLT is cheaper with a 0.03% expense ratio, compared with 0.50% for CBON.

VGLT has the higher dividend yield at 4.61%, compared with 1.52% for CBON.

CBON is categorized as Emerging Markets Bonds, while VGLT is Government Bonds. CBON tracks ChinaBond China High Quality Bond Index, while VGLT tracks Bloomberg U.S. Long Treasury Index. They also come from different issuers: VanEck and Vanguard. Their fees differ too: 0.50% for CBON and 0.03% for VGLT.

CBON currently has the higher Sharpe Ratio (2.70 vs 0.59), 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

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