FEBP vs. JUNT
FEBP (PGIM US Large-Cap Buffer 12 ETF - February) and JUNT (AllianzIM U.S. Large Cap Buffer10 Jun ETF) are both Options Trading funds. Both are actively managed. Over the past year, FEBP returned 17.79% vs 12.83% for JUNT. Their correlation of 0.91 suggests significant overlap in exposure. FEBP charges 0.50%/yr vs 0.74%/yr for JUNT.
Performance
FEBP vs. JUNT - Performance Comparison
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Returns By Period
In the year-to-date period, FEBP achieves a 5.81% return, which is significantly higher than JUNT's 2.88% return.
FEBP
- 1D
- -1.11%
- 1M
- 0.43%
- YTD
- 5.81%
- 6M
- 6.64%
- 1Y
- 17.79%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
JUNT
- 1D
- -1.60%
- 1M
- -1.04%
- YTD
- 2.88%
- 6M
- 3.49%
- 1Y
- 12.83%
- 3Y*
- 13.58%
- 5Y*
- —
- 10Y*
- —
FEBP vs. JUNT - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
FEBP PGIM US Large-Cap Buffer 12 ETF - February | 5.81% | 12.06% | 12.73% |
JUNT AllianzIM U.S. Large Cap Buffer10 Jun ETF | 2.88% | 12.42% | 13.81% |
Correlation
The correlation between FEBP and JUNT is 0.94, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.94 |
Correlation (All Time) Calculated using the full available price history since Feb 2, 2024 | 0.91 |
The correlation between FEBP and JUNT has been stable across timeframes, ranging from 0.91 to 0.94 - a consistent structural relationship.
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Return for Risk
FEBP vs. JUNT — Risk / Return Rank
FEBP
JUNT
FEBP vs. JUNT - 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 Jun ETF (JUNT). 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 | JUNT | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.40 | ||
| Sortino ratioReturn per unit of downside risk | +0.54 | ||
| Omega ratioGain probability vs. loss probability | 1.50 | 1.46 | +0.04 |
| Calmar ratioReturn relative to maximum drawdown | 3.27 | 3.16 | +0.11 |
| Martin ratioReturn relative to average drawdown | 16.83 | 18.02 | -1.19 |
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 | JUNT | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.54 | 2.14 | +0.40 |
Sharpe Ratio (All Time)Calculated using the full available price history | 1.48 | 1.52 | -0.05 |
Drawdowns
FEBP vs. JUNT - Drawdown Comparison
The maximum FEBP drawdown since its inception was -12.11%, smaller than the maximum JUNT drawdown of -12.78%. Use the drawdown chart below to compare losses from any high point for FEBP and JUNT.
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Drawdown Indicators
| FEBP | JUNT | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -12.11% | -12.78% | +0.67% |
Max Drawdown (1Y)Largest decline over 1 year | -5.47% | -4.08% | -1.39% |
Max Drawdown (3Y)Largest decline over 3 years | — | -12.78% | — |
Current DrawdownCurrent decline from peak | -1.17% | -1.70% | +0.53% |
Average DrawdownAverage peak-to-trough decline | -0.91% | -0.98% | +0.07% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 1.06% | 0.71% | +0.35% |
Volatility
FEBP vs. JUNT - Volatility Comparison
PGIM US Large-Cap Buffer 12 ETF - February (FEBP) and AllianzIM U.S. Large Cap Buffer10 Jun ETF (JUNT) have volatilities of 1.73% and 1.75%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| FEBP | JUNT | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 1.73% | 1.75% | -0.02% |
Volatility (6M)Calculated over the trailing 6-month period | 5.56% | 4.68% | +0.88% |
Volatility (1Y)Calculated over the trailing 1-year period | 7.06% | 6.04% | +1.02% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 9.00% | 9.28% | -0.28% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 9.00% | 9.28% | -0.28% |
FEBP vs. JUNT - Expense Ratio Comparison
FEBP has a 0.50% expense ratio, which is lower than JUNT's 0.74% expense ratio.
Dividends
FEBP vs. JUNT - Dividend Comparison
Neither FEBP nor JUNT has paid dividends to shareholders.
Frequently Asked Questions
With a correlation of 0.94, FEBP and JUNT 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.
JUNT has higher volatility (1.75%) compared to FEBP (1.73%). In terms of maximum drawdown, FEBP dropped -12.11% vs JUNT's -12.78%.
On 1-year performance, FEBP leads with 17.79% vs 12.83% for JUNT. On fees, FEBP is cheaper at 0.50% per year. Their volatility is very similar. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, FEBP has performed better with a 17.79% return vs 12.83%. 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 JUNT.
FEBP and JUNT 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 JUNT.
FEBP currently has the higher Sharpe Ratio (2.54 vs 2.14), 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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