SFEB vs. PMJA
SFEB (FT Vest U.S. Small Cap Moderate Buffer ETF - February) and PMJA (PGIM S&P 500 Max Buffer ETF - January) are both Defined Outcome funds. Both are actively managed. Over the past year, SFEB returned 23.07% vs 7.11% for PMJA. A 0.76 correlation means they provide meaningful diversification when combined. SFEB charges 0.90%/yr vs 0.50%/yr for PMJA.
Performance
SFEB vs. PMJA - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, SFEB achieves a 10.55% return, which is significantly higher than PMJA's 2.26% return.
SFEB
- 1D
- -0.52%
- 1M
- 1.52%
- YTD
- 10.55%
- 6M
- 9.53%
- 1Y
- 23.07%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
PMJA
- 1D
- -0.09%
- 1M
- 0.14%
- YTD
- 2.26%
- 6M
- 2.38%
- 1Y
- 7.11%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SFEB vs. PMJA - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
SFEB FT Vest U.S. Small Cap Moderate Buffer ETF - February | 10.55% | 9.24% |
PMJA PGIM S&P 500 Max Buffer ETF - January | 2.26% | 6.76% |
Correlation
The correlation between SFEB and PMJA is 0.73, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.73 |
Correlation (All Time) Calculated using the full available price history since Jan 2, 2025 | 0.76 |
The correlation between SFEB and PMJA has been stable across timeframes, ranging from 0.73 to 0.76 - a consistent structural relationship.
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
SFEB vs. PMJA — Risk / Return Rank
SFEB
PMJA
SFEB vs. PMJA - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for FT Vest U.S. Small Cap Moderate Buffer ETF - February (SFEB) and PGIM S&P 500 Max Buffer ETF - January (PMJA). 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.
| SFEB | PMJA | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.10 | ||
| Sortino ratioReturn per unit of downside risk | -2.14 | ||
| Omega ratioGain probability vs. loss probability | 1.44 | 1.79 | -0.35 |
| Calmar ratioReturn relative to maximum drawdown | 4.44 | 4.91 | -0.47 |
| Martin ratioReturn relative to average drawdown | 18.15 | 24.37 | -6.23 |
Loading charts...
Drawdowns
SFEB vs. PMJA - Drawdown Comparison
The maximum SFEB drawdown since its inception was -16.67%, which is greater than PMJA's maximum drawdown of -2.98%. Use the drawdown chart below to compare losses from any high point for SFEB and PMJA.
Loading charts...
Drawdown Indicators
| SFEB | PMJA | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -16.67% | -2.98% | -13.69% |
Max Drawdown (1Y)Largest decline over 1 year | -5.22% | -1.45% | -3.77% |
Current DrawdownCurrent decline from peak | -0.52% | -0.22% | -0.30% |
Average DrawdownAverage peak-to-trough decline | -2.46% | -0.33% | -2.13% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 1.27% | 0.29% | +0.98% |
Volatility
SFEB vs. PMJA - Volatility Comparison
FT Vest U.S. Small Cap Moderate Buffer ETF - February (SFEB) has a higher volatility of 2.60% compared to PGIM S&P 500 Max Buffer ETF - January (PMJA) at 0.54%. This indicates that SFEB's price experiences larger fluctuations and is considered to be riskier than PMJA based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| SFEB | PMJA | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 2.60% | 0.54% | +2.06% |
Volatility (6M)Calculated over the trailing 6-month period | 6.75% | 1.57% | +5.18% |
Volatility (1Y)Calculated over the trailing 1-year period | 9.56% | 2.04% | +7.52% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 12.02% | 2.83% | +9.19% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 12.02% | 2.83% | +9.19% |
SFEB vs. PMJA - Expense Ratio Comparison
SFEB has a 0.90% expense ratio, which is higher than PMJA's 0.50% expense ratio.
Dividends
SFEB vs. PMJA - Dividend Comparison
Neither SFEB nor PMJA has paid dividends to shareholders.
Frequently Asked Questions
SFEB and PMJA have a correlation of 0.73, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SFEB has higher volatility (2.60%) compared to PMJA (0.54%). In terms of maximum drawdown, SFEB dropped -16.67% vs PMJA's -2.98%.
On 1-year performance, SFEB leads with 23.07% vs 7.11% for PMJA. On fees, PMJA is cheaper at 0.50% per year. On volatility, PMJA has been the lower-risk option at 0.54%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, SFEB has performed better with a 23.07% return vs 7.11%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
PMJA is cheaper with a 0.50% expense ratio, compared with 0.90% for SFEB.
SFEB and PMJA have nearly identical dividend yields, around 0.00%.
They also come from different issuers: First Trust and PGIM. Their fees differ too: 0.90% for SFEB and 0.50% for PMJA.
PMJA currently has the higher Sharpe Ratio (3.53 vs 2.43), 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.
Find the right allocation for SFEB and PMJA
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer