KBUF vs. FEBP
KBUF (KraneShares 90% KWEB Defined Outcome January 2026 ETF) and FEBP (PGIM US Large-Cap Buffer 12 ETF - February) are both Options Trading funds. Both are actively managed. Over the past year, KBUF returned -5.80% vs 15.52% for FEBP. At a 0.36 correlation, their price movements are largely independent. KBUF charges 0.95%/yr vs 0.50%/yr for FEBP.
Performance
KBUF vs. FEBP - Performance Comparison
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Returns By Period
In the year-to-date period, KBUF achieves a -11.11% return, which is significantly lower than FEBP's 7.42% return.
KBUF
- 1D
- 0.67%
- 1M
- 2.70%
- 6M
- -13.82%
- YTD
- -11.11%
- 1Y
- -5.80%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
FEBP
- 1D
- -0.21%
- 1M
- 0.53%
- 6M
- 6.53%
- YTD
- 7.42%
- 1Y
- 15.52%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
KBUF vs. FEBP - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
KBUF KraneShares 90% KWEB Defined Outcome January 2026 ETF | -11.11% | 18.04% | 15.85% |
FEBP PGIM US Large-Cap Buffer 12 ETF - February | 7.42% | 12.06% | 11.87% |
Correlation
The correlation between KBUF and FEBP is 0.47, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.47 |
Correlation (All Time) Calculated using the full available price history since Feb 8, 2024 | 0.36 |
The correlation between KBUF and FEBP shifts across timeframes, from 0.36 (all time) to 0.47 (1 year), reflecting how their relationship changes across market environments.
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Return for Risk
KBUF vs. FEBP — Risk / Return Rank
KBUF
FEBP
KBUF vs. FEBP - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for KraneShares 90% KWEB Defined Outcome January 2026 ETF (KBUF) 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.
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.
| KBUF | FEBP | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.92 | ||
| Sortino ratioReturn per unit of downside risk | -2.71 | ||
| Omega ratioGain probability vs. loss probability | 0.94 | 1.39 | -0.45 |
| Calmar ratioReturn relative to maximum drawdown | -0.28 | 2.53 | -2.81 |
| Martin ratioReturn relative to average drawdown | -0.59 | 13.55 | -14.14 |
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Drawdowns
KBUF vs. FEBP - Drawdown Comparison
The maximum KBUF drawdown since its inception was -21.14%, which is greater than FEBP's maximum drawdown of -12.11%. Use the drawdown chart below to compare losses from any high point for KBUF and FEBP.
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Drawdown Indicators
| KBUF | FEBP | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -21.14% | -12.11% | -9.03% |
Max Drawdown (1Y)Largest decline over 1 year | -21.14% | -6.16% | -14.98% |
Current DrawdownCurrent decline from peak | -16.36% | -0.21% | -16.15% |
Average DrawdownAverage peak-to-trough decline | -4.84% | -0.91% | -3.93% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 9.81% | 1.15% | +8.66% |
Volatility
KBUF vs. FEBP - Volatility Comparison
The current volatility for KraneShares 90% KWEB Defined Outcome January 2026 ETF (KBUF) is 3.58%, while PGIM US Large-Cap Buffer 12 ETF - February (FEBP) has a volatility of 8.11%. This indicates that KBUF 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
| KBUF | FEBP | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 3.58% | 8.11% | -4.53% |
Volatility (6M)Calculated over the trailing 6-month period | 10.37% | 9.72% | +0.65% |
Volatility (1Y)Calculated over the trailing 1-year period | 13.23% | 10.53% | +2.70% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 14.21% | 10.23% | +3.98% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 14.21% | 10.23% | +3.98% |
KBUF vs. FEBP - Expense Ratio Comparison
KBUF has a 0.95% expense ratio, which is higher than FEBP's 0.50% expense ratio.
Dividends
KBUF vs. FEBP - Dividend Comparison
KBUF's dividend yield for the trailing twelve months is around 8.45%, while FEBP has not paid dividends to shareholders.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
FEBP PGIM US Large-Cap Buffer 12 ETF - February | 0.00% | 0.00% | 0.00% |
KBUF KraneShares 90% KWEB Defined Outcome January 2026 ETF | 8.45% | 7.51% | 3.53% |
Frequently Asked Questions
KBUF and FEBP have a correlation of 0.47, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
FEBP has higher volatility (8.11%) compared to KBUF (3.58%). In terms of maximum drawdown, KBUF dropped -21.14% vs FEBP's -12.11%.
On 1-year performance, FEBP leads with 15.52% vs -5.80% for KBUF. On fees, FEBP is cheaper at 0.50% per year. On volatility, KBUF has been the lower-risk option at 3.58%. 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 15.52% return vs -5.80%. 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 0.95% for KBUF.
KBUF has the higher dividend yield at 8.45%, compared with 0.00% for FEBP.
They also come from different issuers: KraneShares and PGIM. Their fees differ too: 0.95% for KBUF and 0.50% for FEBP.
FEBP currently has the higher Sharpe Ratio (1.48 vs -0.44), 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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