DRGN vs. ISVBF
DRGN (Themes China Generative Artificial Intelligence ETF) and ISVBF (iShares MSCI China A UCITS ETF) are both China Equities funds - DRGN tracks the BITA China Generative AI Select Index while ISVBF tracks the MSCI China A Inclusion Index. Both are passively managed. Over the past year, DRGN returned 44.44% vs -1.01% for ISVBF. At a 0.48 correlation, their price movements are largely independent. DRGN charges 0.39%/yr vs 0.40%/yr for ISVBF.
Performance
DRGN vs. ISVBF - Performance Comparison
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Returns By Period
In the year-to-date period, DRGN achieves a 14.26% return, which is significantly higher than ISVBF's -8.71% return.
DRGN
- 1D
- -0.54%
- 1M
- 1.83%
- 6M
- -0.75%
- YTD
- 14.26%
- 1Y
- 44.44%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
ISVBF
- 1D
- 1.84%
- 1M
- -1.17%
- 6M
- -13.00%
- YTD
- -8.71%
- 1Y
- -1.01%
- 3Y*
- 8.64%
- 5Y*
- -5.34%
- 10Y*
- —
DRGN vs. ISVBF - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
DRGN Themes China Generative Artificial Intelligence ETF | 14.26% | 26.96% |
ISVBF iShares MSCI China A UCITS ETF | -8.71% | 10.11% |
Correlation
The correlation between DRGN and ISVBF is 0.48, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.48 |
Correlation (All Time) Calculated using the full available price history since Jul 15, 2025 | 0.48 |
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Return for Risk
DRGN vs. ISVBF — Risk / Return Rank
DRGN
ISVBF
DRGN vs. ISVBF - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Themes China Generative Artificial Intelligence ETF (DRGN) and iShares MSCI China A UCITS ETF (ISVBF). 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.
| DRGN | ISVBF | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +1.28 | ||
| Sortino ratioReturn per unit of downside risk | +1.67 | ||
| Omega ratioGain probability vs. loss probability | 1.22 | 1.02 | +0.19 |
| Calmar ratioReturn relative to maximum drawdown | 2.14 | -0.04 | +2.18 |
| Martin ratioReturn relative to average drawdown | 4.45 | -0.10 | +4.54 |
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Drawdowns
DRGN vs. ISVBF - Drawdown Comparison
The maximum DRGN drawdown since its inception was -20.86%, smaller than the maximum ISVBF drawdown of -53.78%. Use the drawdown chart below to compare losses from any high point for DRGN and ISVBF.
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Drawdown Indicators
| DRGN | ISVBF | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -20.86% | -53.78% | +32.92% |
Max Drawdown (1Y)Largest decline over 1 year | -20.86% | -24.14% | +3.28% |
Max Drawdown (3Y)Largest decline over 3 years | — | -24.14% | — |
Max Drawdown (5Y)Largest decline over 5 years | — | -52.51% | — |
Current DrawdownCurrent decline from peak | -8.88% | -26.01% | +17.13% |
Average DrawdownAverage peak-to-trough decline | -8.16% | -32.64% | +24.48% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 10.02% | 10.49% | -0.47% |
Volatility
DRGN vs. ISVBF - Volatility Comparison
Themes China Generative Artificial Intelligence ETF (DRGN) has a higher volatility of 13.08% compared to iShares MSCI China A UCITS ETF (ISVBF) at 7.72%. This indicates that DRGN's price experiences larger fluctuations and is considered to be riskier than ISVBF based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| DRGN | ISVBF | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 13.08% | 7.72% | +5.36% |
Volatility (6M)Calculated over the trailing 6-month period | 25.46% | 27.02% | -1.56% |
Volatility (1Y)Calculated over the trailing 1-year period | 35.74% | 31.48% | +4.26% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 35.74% | 30.46% | +5.28% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 35.74% | 30.13% | +5.61% |
DRGN vs. ISVBF - Expense Ratio Comparison
DRGN has a 0.39% expense ratio, which is lower than ISVBF's 0.40% expense ratio.
Dividends
DRGN vs. ISVBF - Dividend Comparison
DRGN's dividend yield for the trailing twelve months is around 1.06%, while ISVBF has not paid dividends to shareholders.
| Position | TTM | 2025 |
|---|---|---|
DRGN Themes China Generative Artificial Intelligence ETF | 1.06% | 1.22% |
ISVBF iShares MSCI China A UCITS ETF | 0.00% | 0.00% |
Frequently Asked Questions
DRGN and ISVBF have a correlation of 0.48, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
DRGN has higher volatility (13.08%) compared to ISVBF (7.72%). In terms of maximum drawdown, DRGN dropped -20.86% vs ISVBF's -53.78%.
On 1-year performance, DRGN leads with 44.44% vs -1.01% for ISVBF. On fees, DRGN is cheaper at 0.39% per year. On volatility, ISVBF has been the lower-risk option at 7.72%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, DRGN has performed better with a 44.44% return vs -1.01%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
DRGN is cheaper with a 0.39% expense ratio, compared with 0.40% for ISVBF.
DRGN has the higher dividend yield at 1.06%, compared with 0.00% for ISVBF.
DRGN tracks BITA China Generative AI Select Index, while ISVBF tracks MSCI China A Inclusion Index. They also come from different issuers: Themes and iShares. Their fees differ too: 0.39% for DRGN and 0.40% for ISVBF.
DRGN currently has the higher Sharpe Ratio (1.25 vs -0.03), 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.
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