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VNQI vs. VGSH
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

VNQI vs. VGSH - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Vanguard Global ex-U.S. Real Estate ETF (VNQI) and Vanguard Short-Term Treasury ETF (VGSH). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, VNQI achieves a -0.33% return, which is significantly lower than VGSH's 0.57% return. Over the past 10 years, VNQI has outperformed VGSH with an annualized return of 2.74%, while VGSH has yielded a comparatively lower 1.73% annualized return.


VNQI

1D
0.68%
1M
-3.12%
YTD
-0.33%
6M
0.85%
1Y
5.87%
3Y*
8.59%
5Y*
-1.50%
10Y*
2.74%

VGSH

1D
-0.03%
1M
0.13%
YTD
0.57%
6M
0.83%
1Y
3.31%
3Y*
4.25%
5Y*
1.83%
10Y*
1.73%
*Multi-year figures are annualized to reflect compound growth (CAGR)

VNQI vs. VGSH - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
VNQI
Vanguard Global ex-U.S. Real Estate ETF
-0.33%21.38%-2.22%6.99%-22.94%5.93%-7.22%21.59%-9.44%26.91%
VGSH
Vanguard Short-Term Treasury ETF
0.57%5.07%4.00%4.31%-3.86%-0.60%3.04%3.52%1.55%0.04%

Correlation

The correlation between VNQI and VGSH is 0.42, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.42

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

0.32

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

0.23

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

0.09

Correlation (All Time)
Calculated using the full available price history since Nov 1, 2010

0.02

Over the past year, VNQI and VGSH have become more correlated (0.42) than their long-term average of 0.02, meaning their price movements have been converging.

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Return for Risk

VNQI vs. VGSH — Risk / Return Rank

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

VNQI
VNQI Risk / Return Rank: 1616
Overall Rank
VNQI Sharpe Ratio Rank: 1717
Sharpe Ratio Rank
VNQI Sortino Ratio Rank: 1616
Sortino Ratio Rank
VNQI Omega Ratio Rank: 1616
Omega Ratio Rank
VNQI Calmar Ratio Rank: 1515
Calmar Ratio Rank
VNQI Martin Ratio Rank: 1515
Martin Ratio Rank

VGSH
VGSH Risk / Return Rank: 8888
Overall Rank
VGSH Sharpe Ratio Rank: 9090
Sharpe Ratio Rank
VGSH Sortino Ratio Rank: 9494
Sortino Ratio Rank
VGSH Omega Ratio Rank: 9292
Omega Ratio Rank
VGSH Calmar Ratio Rank: 8181
Calmar Ratio Rank
VGSH Martin Ratio Rank: 8484
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.

VNQI vs. VGSH - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Vanguard Global ex-U.S. Real Estate ETF (VNQI) and Vanguard Short-Term Treasury ETF (VGSH). 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.


VNQIVGSHDifference
Sharpe ratioReturn per unit of total volatility

-2.18

Sortino ratioReturn per unit of downside risk

-3.60

Omega ratioGain probability vs. loss probability

1.09

1.55

-0.47

Calmar ratioReturn relative to maximum drawdown

0.40

3.76

-3.36

Martin ratioReturn relative to average drawdown

1.13

14.67

-13.54

VNQI vs. VGSH - Sharpe Ratio Comparison

The current VNQI Sharpe Ratio is 0.43, which is lower than the VGSH Sharpe Ratio of 2.61. The chart below compares the historical Sharpe Ratios of VNQI and VGSH, 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

VNQI vs. VGSH - Drawdown Comparison

The maximum VNQI drawdown since its inception was -38.35%, which is greater than VGSH's maximum drawdown of -5.70%. Use the drawdown chart below to compare losses from any high point for VNQI and VGSH.


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Drawdown Indicators


VNQIVGSHDifference

Max Drawdown

Largest peak-to-trough decline

-38.35%

-5.70%

-32.65%

Max Drawdown (1Y)

Largest decline over 1 year

-14.78%

-0.88%

-13.90%

Max Drawdown (3Y)

Largest decline over 3 years

-16.35%

-0.97%

-15.38%

Max Drawdown (5Y)

Largest decline over 5 years

-35.55%

-5.66%

-29.89%

Max Drawdown (10Y)

Largest decline over 10 years

-38.35%

-5.70%

-32.65%

Current Drawdown

Current decline from peak

-9.99%

-0.21%

-9.78%

Average Drawdown

Average peak-to-trough decline

-10.89%

-0.60%

-10.29%

Ulcer Index

Depth and duration of drawdowns from previous peaks

5.19%

0.23%

+4.96%

Volatility

VNQI vs. VGSH - Volatility Comparison

Vanguard Global ex-U.S. Real Estate ETF (VNQI) has a higher volatility of 4.62% compared to Vanguard Short-Term Treasury ETF (VGSH) at 0.37%. This indicates that VNQI's price experiences larger fluctuations and is considered to be riskier than VGSH based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


VNQIVGSHDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.62%

0.37%

+4.25%

Volatility (6M)

Calculated over the trailing 6-month period

11.75%

0.90%

+10.85%

Volatility (1Y)

Calculated over the trailing 1-year period

13.73%

1.28%

+12.45%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

15.54%

1.97%

+13.57%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

16.07%

1.58%

+14.49%

VNQI vs. VGSH - Expense Ratio Comparison

VNQI has a 0.12% expense ratio, which is higher than VGSH's 0.03% expense ratio. However, both funds are considered low-cost compared to the broader market, where average expense ratios usually range from 0.3% to 0.9%.


Dividends

VNQI vs. VGSH - Dividend Comparison

VNQI's dividend yield for the trailing twelve months is around 4.72%, more than VGSH's 3.87% yield.


PositionTTM20252024202320222021202020192018201720162015
VGSH
Vanguard Short-Term Treasury ETF
3.87%4.00%4.18%3.31%1.15%0.66%1.74%2.28%1.79%1.10%0.84%0.69%
VNQI
Vanguard Global ex-U.S. Real Estate ETF
4.72%4.70%5.16%3.74%0.57%6.48%0.93%7.58%4.62%3.86%5.18%2.86%

Frequently Asked Questions


VNQI and VGSH have a correlation of 0.42, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

VNQI has higher volatility (4.62%) compared to VGSH (0.37%). In terms of maximum drawdown, VNQI dropped -38.35% vs VGSH's -5.70%.

On 10-year performance, VNQI leads with 2.74% vs 1.73% for VGSH. On fees, VGSH is cheaper at 0.03% per year. On volatility, VGSH has been the lower-risk option at 0.37%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 10-year period, VNQI has performed better with a 2.74% return vs 1.73%. 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 0.12% for VNQI.

VNQI has the higher dividend yield at 4.72%, compared with 3.87% for VGSH.

VNQI is categorized as REIT, while VGSH is Government Bonds. VNQI tracks S&P Global ex-U.S. Property Index, while VGSH tracks Bloomberg U.S. Treasury 1-3 Year Index. Their fees differ too: 0.12% for VNQI and 0.03% for VGSH.

VGSH currently has the higher Sharpe Ratio (2.61 vs 0.43), 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 VNQI and VGSH

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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