ASIA vs. SBIT
ASIA (Matthews Pacific Tiger Active ETF) and SBIT (Proshares Ultrashort Bitcoin ETF) are both exchange-traded funds - ASIA is a Asia Pacific Equities fund actively managed by Matthews, while SBIT is a Cryptocurrency fund tracking the Bloomberg Bitcoin Index (-200%). ASIA is actively managed, while SBIT is passively managed. Over the past year, ASIA returned 41.39% vs 124.12% for SBIT. At a correlation of -0.36, they often move in opposite directions. ASIA charges 0.79%/yr vs 0.95%/yr for SBIT.
Performance
ASIA vs. SBIT - Performance Comparison
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Returns By Period
In the year-to-date period, ASIA achieves a 19.88% return, which is significantly lower than SBIT's 44.00% return.
ASIA
- 1D
- -3.99%
- 1M
- -6.33%
- 6M
- 12.73%
- YTD
- 19.88%
- 1Y
- 41.39%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SBIT
- 1D
- 5.38%
- 1M
- 1.44%
- 6M
- 58.27%
- YTD
- 44.00%
- 1Y
- 124.12%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
ASIA vs. SBIT - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
ASIA Matthews Pacific Tiger Active ETF | 19.88% | 32.06% | 4.15% |
SBIT Proshares Ultrashort Bitcoin ETF | 44.00% | -25.11% | -73.74% |
Correlation
The correlation between ASIA and SBIT is -0.44, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | -0.44 |
Correlation (All Time) Calculated using the full available price history since Apr 2, 2024 | -0.36 |
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Return for Risk
ASIA vs. SBIT — Risk / Return Rank
ASIA
SBIT
ASIA vs. SBIT - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Matthews Pacific Tiger Active ETF (ASIA) and Proshares Ultrashort Bitcoin ETF (SBIT). 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.
| ASIA | SBIT | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.15 | ||
| Sortino ratioReturn per unit of downside risk | -0.04 | ||
| Omega ratioGain probability vs. loss probability | 1.30 | 1.25 | +0.06 |
| Calmar ratioReturn relative to maximum drawdown | 2.87 | 2.60 | +0.27 |
| Martin ratioReturn relative to average drawdown | 9.13 | 5.92 | +3.21 |
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Drawdowns
ASIA vs. SBIT - Drawdown Comparison
The maximum ASIA drawdown since its inception was -23.95%, smaller than the maximum SBIT drawdown of -91.35%. Use the drawdown chart below to compare losses from any high point for ASIA and SBIT.
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Drawdown Indicators
| ASIA | SBIT | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -23.95% | -91.35% | +67.40% |
Max Drawdown (1Y)Largest decline over 1 year | -14.47% | -47.94% | +33.47% |
Current DrawdownCurrent decline from peak | -13.52% | -77.15% | +63.63% |
Average DrawdownAverage peak-to-trough decline | -4.91% | -68.83% | +63.92% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.55% | 21.04% | -16.49% |
Volatility
ASIA vs. SBIT - Volatility Comparison
The current volatility for Matthews Pacific Tiger Active ETF (ASIA) is 13.93%, while Proshares Ultrashort Bitcoin ETF (SBIT) has a volatility of 22.98%. This indicates that ASIA experiences smaller price fluctuations and is considered to be less risky than SBIT based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| ASIA | SBIT | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 13.93% | 22.98% | -9.05% |
Volatility (6M)Calculated over the trailing 6-month period | 24.35% | 68.89% | -44.54% |
Volatility (1Y)Calculated over the trailing 1-year period | 26.59% | 88.51% | -61.92% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 22.05% | 96.89% | -74.84% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 22.05% | 96.89% | -74.84% |
ASIA vs. SBIT - Expense Ratio Comparison
ASIA has a 0.79% expense ratio, which is lower than SBIT's 0.95% expense ratio.
Dividends
ASIA vs. SBIT - Dividend Comparison
ASIA's dividend yield for the trailing twelve months is around 0.87%, less than SBIT's 3.97% yield.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
ASIA Matthews Pacific Tiger Active ETF | 0.87% | 1.05% | 0.58% | 0.12% |
SBIT Proshares Ultrashort Bitcoin ETF | 3.97% | 0.52% | 1.00% | 0.00% |
Frequently Asked Questions
ASIA and SBIT 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.
SBIT has higher volatility (22.98%) compared to ASIA (13.93%). In terms of maximum drawdown, ASIA dropped -23.95% vs SBIT's -91.35%.
On 1-year performance, SBIT leads with 124.12% vs 41.39% for ASIA. On fees, ASIA is cheaper at 0.79% per year. On volatility, ASIA has been the lower-risk option at 13.93%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, SBIT has performed better with a 124.12% return vs 41.39%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
ASIA is cheaper with a 0.79% expense ratio, compared with 0.95% for SBIT.
SBIT has the higher dividend yield at 3.97%, compared with 0.87% for ASIA.
ASIA is categorized as Asia Pacific Equities, while SBIT is Cryptocurrency. They also come from different issuers: Matthews and ProShares. Their fees differ too: 0.79% for ASIA and 0.95% for SBIT.
ASIA currently has the higher Sharpe Ratio (1.57 vs 1.41), 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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