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KWEB vs. VNQI
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

KWEB vs. VNQI - Performance Comparison

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

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Returns By Period

In the year-to-date period, KWEB achieves a -22.20% return, which is significantly lower than VNQI's -0.33% return. Over the past 10 years, KWEB has underperformed VNQI with an annualized return of 0.12%, while VNQI has yielded a comparatively higher 2.74% annualized return.


KWEB

1D
-0.30%
1M
-9.28%
YTD
-22.20%
6M
-23.82%
1Y
-17.34%
3Y*
1.28%
5Y*
-14.40%
10Y*
0.12%

VNQI

1D
0.68%
1M
-2.33%
YTD
-0.33%
6M
0.85%
1Y
7.10%
3Y*
8.59%
5Y*
-1.50%
10Y*
2.74%
*Multi-year figures are annualized to reflect compound growth (CAGR)

KWEB vs. VNQI - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
KWEB
KraneShares CSI China Internet ETF
-22.20%23.55%12.01%-9.06%-17.24%-49.01%58.23%29.92%-33.80%69.73%
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%

Correlation

The correlation between KWEB and VNQI is 0.38, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.38

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

0.49

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

0.48

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

0.51

Correlation (All Time)
Calculated using the full available price history since Aug 1, 2013

0.51

The correlation between KWEB and VNQI shifts across timeframes, from 0.38 (1 year) to 0.51 (all time), reflecting how their relationship changes across market environments.

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Return for Risk

KWEB vs. VNQI — Risk / Return Rank

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

KWEB
KWEB Risk / Return Rank: 44
Overall Rank
KWEB Sharpe Ratio Rank: 44
Sharpe Ratio Rank
KWEB Sortino Ratio Rank: 44
Sortino Ratio Rank
KWEB Omega Ratio Rank: 44
Omega Ratio Rank
KWEB Calmar Ratio Rank: 55
Calmar Ratio Rank
KWEB Martin Ratio Rank: 55
Martin Ratio Rank

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
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.

KWEB vs. VNQI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for KraneShares CSI China Internet ETF (KWEB) and Vanguard Global ex-U.S. Real Estate ETF (VNQI). 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.


KWEBVNQIDifference
Sharpe ratioReturn per unit of total volatility

-1.14

Sortino ratioReturn per unit of downside risk

-1.63

Omega ratioGain probability vs. loss probability

0.90

1.09

-0.19

Calmar ratioReturn relative to maximum drawdown

-0.55

0.40

-0.95

Martin ratioReturn relative to average drawdown

-1.09

1.13

-2.22

KWEB vs. VNQI - Sharpe Ratio Comparison

The current KWEB Sharpe Ratio is -0.71, which is lower than the VNQI Sharpe Ratio of 0.43. The chart below compares the historical Sharpe Ratios of KWEB and VNQI, 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

KWEB vs. VNQI - Drawdown Comparison

The maximum KWEB drawdown since its inception was -80.92%, which is greater than VNQI's maximum drawdown of -38.35%. Use the drawdown chart below to compare losses from any high point for KWEB and VNQI.


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Drawdown Indicators


KWEBVNQIDifference

Max Drawdown

Largest peak-to-trough decline

-80.92%

-38.35%

-42.57%

Max Drawdown (1Y)

Largest decline over 1 year

-35.46%

-14.78%

-20.68%

Max Drawdown (3Y)

Largest decline over 3 years

-35.46%

-16.35%

-19.11%

Max Drawdown (5Y)

Largest decline over 5 years

-72.17%

-35.00%

-37.17%

Max Drawdown (10Y)

Largest decline over 10 years

-80.92%

-38.35%

-42.57%

Current Drawdown

Current decline from peak

-69.36%

-9.99%

-59.37%

Average Drawdown

Average peak-to-trough decline

-35.30%

-10.89%

-24.41%

Ulcer Index

Depth and duration of drawdowns from previous peaks

17.80%

5.19%

+12.61%

Volatility

KWEB vs. VNQI - Volatility Comparison

KraneShares CSI China Internet ETF (KWEB) has a higher volatility of 9.39% compared to Vanguard Global ex-U.S. Real Estate ETF (VNQI) at 4.62%. This indicates that KWEB's price experiences larger fluctuations and is considered to be riskier than VNQI based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


KWEBVNQIDifference

Volatility (1M)

Calculated over the trailing 1-month period

9.39%

4.62%

+4.77%

Volatility (6M)

Calculated over the trailing 6-month period

20.21%

11.75%

+8.46%

Volatility (1Y)

Calculated over the trailing 1-year period

27.20%

13.73%

+13.47%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

47.66%

15.54%

+32.12%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

39.98%

16.07%

+23.91%

KWEB vs. VNQI - Expense Ratio Comparison

KWEB has a 0.70% expense ratio, which is higher than VNQI's 0.12% expense ratio.


Dividends

KWEB vs. VNQI - Dividend Comparison

KWEB's dividend yield for the trailing twelve months is around 7.91%, more than VNQI's 4.72% yield.


PositionTTM20252024202320222021202020192018201720162015
KWEB
KraneShares CSI China Internet ETF
7.91%6.16%3.51%1.71%0.00%7.07%0.29%0.08%3.40%0.58%1.19%0.46%
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


KWEB and VNQI have a correlation of 0.38, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

KWEB has higher volatility (9.39%) compared to VNQI (4.62%). In terms of maximum drawdown, KWEB dropped -80.92% vs VNQI's -38.35%.

On 10-year performance, VNQI leads with 2.74% vs 0.12% for KWEB. On fees, VNQI is cheaper at 0.12% per year. On volatility, VNQI has been the lower-risk option at 4.62%. 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 0.12%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

VNQI is cheaper with a 0.12% expense ratio, compared with 0.70% for KWEB.

KWEB has the higher dividend yield at 7.91%, compared with 4.72% for VNQI.

KWEB is categorized as China Equities, while VNQI is REIT. KWEB tracks CSI Overseas China Internet Index, while VNQI tracks S&P Global ex-U.S. Property Index. They also come from different issuers: KraneShares and Vanguard. Their fees differ too: 0.70% for KWEB and 0.12% for VNQI.

VNQI currently has the higher Sharpe Ratio (0.43 vs -0.71), 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 KWEB and VNQI

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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