MART vs. FEBP
MART (Allianzim U.S. Large Cap Buffer10 Mar ETF) and FEBP (PGIM US Large-Cap Buffer 12 ETF - February) are both Options Trading funds. Both are actively managed. Over the past year, MART returned 19.86% vs 18.57% for FEBP. Their correlation of 0.94 suggests significant overlap in exposure. MART charges 0.74%/yr vs 0.50%/yr for FEBP.
Performance
MART vs. FEBP - Performance Comparison
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Returns By Period
In the year-to-date period, MART achieves a 8.18% return, which is significantly higher than FEBP's 6.79% return.
MART
- 1D
- -0.24%
- 1M
- 2.60%
- YTD
- 8.18%
- 6M
- 9.29%
- 1Y
- 19.86%
- 3Y*
- 16.35%
- 5Y*
- —
- 10Y*
- —
FEBP
- 1D
- -0.26%
- 1M
- 2.45%
- YTD
- 6.79%
- 6M
- 7.87%
- 1Y
- 18.57%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
MART vs. FEBP - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
MART Allianzim U.S. Large Cap Buffer10 Mar ETF | 8.18% | 14.93% | 13.79% |
FEBP PGIM US Large-Cap Buffer 12 ETF - February | 6.79% | 12.06% | 12.73% |
Correlation
The correlation between MART and FEBP is 0.96 - these two move nearly in lockstep. At this level, holding both provides almost no diversification benefit. If you already own one, adding the other does little to reduce portfolio risk.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.96 |
Correlation (All Time) Calculated using the full available price history since Feb 2, 2024 | 0.94 |
The correlation between MART and FEBP has been stable across timeframes, ranging from 0.94 to 0.96 - a consistent structural relationship.
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Return for Risk
MART vs. FEBP — Risk / Return Rank
MART
FEBP
MART vs. FEBP - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Allianzim U.S. Large Cap Buffer10 Mar ETF (MART) and PGIM US Large-Cap Buffer 12 ETF - February (FEBP). 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.
| MART | FEBP | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.14 | ||
| Sortino ratioReturn per unit of downside risk | +0.31 | ||
| Omega ratioGain probability vs. loss probability | 1.59 | 1.53 | +0.05 |
| Calmar ratioReturn relative to maximum drawdown | 3.76 | 3.41 | +0.35 |
| Martin ratioReturn relative to average drawdown | 21.14 | 17.60 | +3.53 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| MART | FEBP | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.82 | 2.68 | +0.14 |
Sharpe Ratio (All Time)Calculated using the full available price history | 1.79 | 1.53 | +0.26 |
Drawdowns
MART vs. FEBP - Drawdown Comparison
The maximum MART drawdown since its inception was -11.61%, roughly equal to the maximum FEBP drawdown of -12.11%. Use the drawdown chart below to compare losses from any high point for MART and FEBP.
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Drawdown Indicators
| MART | FEBP | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -11.61% | -12.11% | +0.50% |
Max Drawdown (1Y)Largest decline over 1 year | -5.30% | -5.47% | +0.17% |
Max Drawdown (3Y)Largest decline over 3 years | -11.61% | — | — |
Current DrawdownCurrent decline from peak | -0.33% | -0.26% | -0.07% |
Average DrawdownAverage peak-to-trough decline | -0.90% | -0.91% | +0.01% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 0.94% | 1.06% | -0.12% |
Volatility
MART vs. FEBP - Volatility Comparison
The current volatility for Allianzim U.S. Large Cap Buffer10 Mar ETF (MART) is 1.31%, while PGIM US Large-Cap Buffer 12 ETF - February (FEBP) has a volatility of 1.42%. This indicates that MART experiences smaller price fluctuations and is considered to be less risky than FEBP based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| MART | FEBP | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 1.31% | 1.42% | -0.11% |
Volatility (6M)Calculated over the trailing 6-month period | 5.60% | 5.44% | +0.16% |
Volatility (1Y)Calculated over the trailing 1-year period | 7.07% | 6.96% | +0.11% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 9.69% | 8.98% | +0.71% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 9.69% | 8.98% | +0.71% |
MART vs. FEBP - Expense Ratio Comparison
MART has a 0.74% expense ratio, which is higher than FEBP's 0.50% expense ratio.
Dividends
MART vs. FEBP - Dividend Comparison
Neither MART nor FEBP has paid dividends to shareholders.
Frequently Asked Questions
With a correlation of 0.96, MART and FEBP move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.
FEBP has higher volatility (1.42%) compared to MART (1.31%). In terms of maximum drawdown, MART dropped -11.61% vs FEBP's -12.11%.
On 1-year performance, MART leads with 19.86% vs 18.57% for FEBP. On fees, FEBP is cheaper at 0.50% per year. On volatility, MART has been the lower-risk option at 1.31%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, MART has performed better with a 19.86% return vs 18.57%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
FEBP is cheaper with a 0.50% expense ratio, compared with 0.74% for MART.
MART and FEBP have nearly identical dividend yields, around 0.00%.
They also come from different issuers: Allianz and PGIM. Their fees differ too: 0.74% for MART and 0.50% for FEBP.
MART currently has the higher Sharpe Ratio (2.82 vs 2.68), 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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