FEBP vs. MART
FEBP (PGIM US Large-Cap Buffer 12 ETF - February) and MART (Allianzim U.S. Large Cap Buffer10 Mar ETF) are both Options Trading funds. Both are actively managed. Over the past year, FEBP returned 18.57% vs 19.86% for MART. Their correlation of 0.94 suggests significant overlap in exposure. FEBP charges 0.50%/yr vs 0.74%/yr for MART.
Performance
FEBP vs. MART - Performance Comparison
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Returns By Period
In the year-to-date period, FEBP achieves a 6.79% return, which is significantly lower than MART's 8.18% return.
FEBP
- 1D
- -0.26%
- 1M
- 2.45%
- YTD
- 6.79%
- 6M
- 7.87%
- 1Y
- 18.57%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
MART
- 1D
- -0.24%
- 1M
- 2.60%
- YTD
- 8.18%
- 6M
- 9.29%
- 1Y
- 19.86%
- 3Y*
- 16.35%
- 5Y*
- —
- 10Y*
- —
FEBP vs. MART - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
FEBP PGIM US Large-Cap Buffer 12 ETF - February | 6.79% | 12.06% | 12.73% |
MART Allianzim U.S. Large Cap Buffer10 Mar ETF | 8.18% | 14.93% | 13.79% |
Correlation
The correlation between FEBP and MART 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 FEBP and MART has been stable across timeframes, ranging from 0.94 to 0.96 - a consistent structural relationship.
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Return for Risk
FEBP vs. MART — Risk / Return Rank
FEBP
MART
FEBP vs. MART - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for PGIM US Large-Cap Buffer 12 ETF - February (FEBP) and Allianzim U.S. Large Cap Buffer10 Mar ETF (MART). 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.
| FEBP | MART | 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 | 1.53 | 1.59 | -0.05 |
| Calmar ratioReturn relative to maximum drawdown | 3.41 | 3.76 | -0.35 |
| Martin ratioReturn relative to average drawdown | 17.60 | 21.14 | -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
| FEBP | MART | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.68 | 2.82 | -0.14 |
Sharpe Ratio (All Time)Calculated using the full available price history | 1.53 | 1.79 | -0.26 |
Drawdowns
FEBP vs. MART - Drawdown Comparison
The maximum FEBP drawdown since its inception was -12.11%, roughly equal to the maximum MART drawdown of -11.61%. Use the drawdown chart below to compare losses from any high point for FEBP and MART.
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Drawdown Indicators
| FEBP | MART | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -12.11% | -11.61% | -0.50% |
Max Drawdown (1Y)Largest decline over 1 year | -5.47% | -5.30% | -0.17% |
Max Drawdown (3Y)Largest decline over 3 years | — | -11.61% | — |
Current DrawdownCurrent decline from peak | -0.26% | -0.33% | +0.07% |
Average DrawdownAverage peak-to-trough decline | -0.91% | -0.90% | -0.01% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 1.06% | 0.94% | +0.12% |
Volatility
FEBP vs. MART - Volatility Comparison
PGIM US Large-Cap Buffer 12 ETF - February (FEBP) has a higher volatility of 1.42% compared to Allianzim U.S. Large Cap Buffer10 Mar ETF (MART) at 1.31%. This indicates that FEBP's price experiences larger fluctuations and is considered to be riskier than MART based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| FEBP | MART | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 1.42% | 1.31% | +0.11% |
Volatility (6M)Calculated over the trailing 6-month period | 5.44% | 5.60% | -0.16% |
Volatility (1Y)Calculated over the trailing 1-year period | 6.96% | 7.07% | -0.11% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 8.98% | 9.69% | -0.71% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 8.98% | 9.69% | -0.71% |
FEBP vs. MART - Expense Ratio Comparison
FEBP has a 0.50% expense ratio, which is lower than MART's 0.74% expense ratio.
Dividends
FEBP vs. MART - Dividend Comparison
Neither FEBP nor MART has paid dividends to shareholders.
Frequently Asked Questions
With a correlation of 0.96, FEBP and MART 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, FEBP dropped -12.11% vs MART's -11.61%.
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.
FEBP and MART have nearly identical dividend yields, around 0.00%.
They also come from different issuers: PGIM and Allianz. Their fees differ too: 0.50% for FEBP and 0.74% for MART.
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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