CBOA vs. TMAR
CBOA (Calamos Bitcoin Structured Alt Protection ETF - April) and TMAR (FT Vest Emerging Markets Buffer ETF - March) are both Defined Outcome funds - CBOA tracks the CBOE Bitcoin US ETF Index while TMAR tracks the iShares MSCI Emerging Markets ETF (EEM) Price Return. Both are passively managed. Over the past year, CBOA returned -5.36% vs 24.40% for TMAR. At a 0.36 correlation, their price movements are largely independent. CBOA charges 0.69%/yr vs 0.95%/yr for TMAR.
Performance
CBOA vs. TMAR - Performance Comparison
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Returns By Period
In the year-to-date period, CBOA achieves a -6.53% return, which is significantly lower than TMAR's 12.46% return.
CBOA
- 1D
- -0.41%
- 1M
- -1.85%
- YTD
- -6.53%
- 6M
- -6.48%
- 1Y
- -5.36%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
TMAR
- 1D
- -2.74%
- 1M
- 0.06%
- YTD
- 12.46%
- 6M
- 12.76%
- 1Y
- 24.40%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
CBOA vs. TMAR - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
CBOA Calamos Bitcoin Structured Alt Protection ETF - April | -6.53% | 5.22% |
TMAR FT Vest Emerging Markets Buffer ETF - March | 12.46% | 22.30% |
Correlation
The correlation between CBOA and TMAR is 0.41, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.41 |
Correlation (All Time) Calculated using the full available price history since Apr 7, 2025 | 0.36 |
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Return for Risk
CBOA vs. TMAR — Risk / Return Rank
CBOA
TMAR
CBOA vs. TMAR - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Calamos Bitcoin Structured Alt Protection ETF - April (CBOA) and FT Vest Emerging Markets Buffer ETF - March (TMAR). 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.
| CBOA | TMAR | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -3.24 | ||
| Sortino ratioReturn per unit of downside risk | -4.45 | ||
| Omega ratioGain probability vs. loss probability | 0.83 | 1.56 | -0.73 |
| Calmar ratioReturn relative to maximum drawdown | -0.62 | 5.22 | -5.85 |
| Martin ratioReturn relative to average drawdown | -1.20 | 25.73 | -26.94 |
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Drawdowns
CBOA vs. TMAR - Drawdown Comparison
The maximum CBOA drawdown since its inception was -8.65%, smaller than the maximum TMAR drawdown of -9.93%. Use the drawdown chart below to compare losses from any high point for CBOA and TMAR.
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Drawdown Indicators
| CBOA | TMAR | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -8.65% | -9.93% | +1.28% |
Max Drawdown (1Y)Largest decline over 1 year | -8.65% | -4.69% | -3.96% |
Current DrawdownCurrent decline from peak | -8.36% | -2.74% | -5.62% |
Average DrawdownAverage peak-to-trough decline | -2.62% | -0.72% | -1.90% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.46% | 0.95% | +3.51% |
Volatility
CBOA vs. TMAR - Volatility Comparison
The current volatility for Calamos Bitcoin Structured Alt Protection ETF - April (CBOA) is 1.37%, while FT Vest Emerging Markets Buffer ETF - March (TMAR) has a volatility of 6.23%. This indicates that CBOA experiences smaller price fluctuations and is considered to be less risky than TMAR based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| CBOA | TMAR | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 1.37% | 6.23% | -4.86% |
Volatility (6M)Calculated over the trailing 6-month period | 4.55% | 9.98% | -5.43% |
Volatility (1Y)Calculated over the trailing 1-year period | 5.45% | 10.91% | -5.46% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 5.13% | 12.32% | -7.19% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 5.13% | 12.32% | -7.19% |
CBOA vs. TMAR - Expense Ratio Comparison
CBOA has a 0.69% expense ratio, which is lower than TMAR's 0.95% expense ratio.
Dividends
CBOA vs. TMAR - Dividend Comparison
CBOA's dividend yield for the trailing twelve months is around 2.40%, while TMAR has not paid dividends to shareholders.
| Position | TTM | 2025 |
|---|---|---|
CBOA Calamos Bitcoin Structured Alt Protection ETF - April | 2.40% | 2.24% |
TMAR FT Vest Emerging Markets Buffer ETF - March | 0.00% | 0.00% |
Frequently Asked Questions
CBOA and TMAR have a correlation of 0.41, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
TMAR has higher volatility (6.23%) compared to CBOA (1.37%). In terms of maximum drawdown, CBOA dropped -8.65% vs TMAR's -9.93%.
On 1-year performance, TMAR leads with 24.40% vs -5.36% for CBOA. On fees, CBOA is cheaper at 0.69% per year. On volatility, CBOA has been the lower-risk option at 1.37%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, TMAR has performed better with a 24.40% return vs -5.36%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
CBOA is cheaper with a 0.69% expense ratio, compared with 0.95% for TMAR.
CBOA has the higher dividend yield at 2.40%, compared with 0.00% for TMAR.
CBOA tracks CBOE Bitcoin US ETF Index, while TMAR tracks iShares MSCI Emerging Markets ETF (EEM) Price Return. They also come from different issuers: Calamos and First Trust. Their fees differ too: 0.69% for CBOA and 0.95% for TMAR.
TMAR currently has the higher Sharpe Ratio (2.25 vs -0.99), 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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