SEPW vs. BAMU
SEPW (AllianzIM U.S. Large Cap Buffer20 Sep ETF) and BAMU (Brookstone Ultra-Short Bond ETF) are both exchange-traded funds - SEPW is a Options Trading fund actively managed by Allianz, while BAMU is a Ultrashort Bond fund actively managed by Brookstone. Both are actively managed. Over the past year, SEPW returned 12.50% vs 2.91% for BAMU. At a correlation of -0.01, they often move in opposite directions. SEPW charges 0.74%/yr vs 1.09%/yr for BAMU.
Performance
SEPW vs. BAMU - Performance Comparison
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Returns By Period
In the year-to-date period, SEPW achieves a 4.36% return, which is significantly higher than BAMU's 1.18% return.
SEPW
- 1D
- -0.03%
- 1M
- 0.54%
- YTD
- 4.36%
- 6M
- 4.34%
- 1Y
- 12.50%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
BAMU
- 1D
- 0.02%
- 1M
- 0.16%
- YTD
- 1.18%
- 6M
- 1.23%
- 1Y
- 2.91%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SEPW vs. BAMU - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
SEPW AllianzIM U.S. Large Cap Buffer20 Sep ETF | 4.36% | 10.42% | 11.05% | 6.55% |
BAMU Brookstone Ultra-Short Bond ETF | 1.18% | 3.21% | 4.14% | 1.20% |
Correlation
The correlation between SEPW and BAMU is -0.10, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | -0.10 |
Correlation (All Time) Calculated using the full available price history since Sep 27, 2023 | -0.01 |
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Return for Risk
SEPW vs. BAMU — Risk / Return Rank
SEPW
BAMU
SEPW vs. BAMU - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for AllianzIM U.S. Large Cap Buffer20 Sep ETF (SEPW) and Brookstone Ultra-Short Bond ETF (BAMU). 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.
| SEPW | BAMU | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -2.30 | ||
| Sortino ratioReturn per unit of downside risk | -4.93 | ||
| Omega ratioGain probability vs. loss probability | 1.57 | 2.43 | -0.86 |
| Calmar ratioReturn relative to maximum drawdown | 3.93 | 24.72 | -20.79 |
| Martin ratioReturn relative to average drawdown | 20.31 | 97.90 | -77.59 |
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Drawdowns
SEPW vs. BAMU - Drawdown Comparison
The maximum SEPW drawdown since its inception was -8.43%, which is greater than BAMU's maximum drawdown of -0.36%. Use the drawdown chart below to compare losses from any high point for SEPW and BAMU.
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Drawdown Indicators
| SEPW | BAMU | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -8.43% | -0.36% | -8.07% |
Max Drawdown (1Y)Largest decline over 1 year | -3.19% | -0.12% | -3.07% |
Current DrawdownCurrent decline from peak | -0.06% | 0.00% | -0.06% |
Average DrawdownAverage peak-to-trough decline | -0.65% | -0.02% | -0.63% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 0.62% | 0.03% | +0.59% |
Volatility
SEPW vs. BAMU - Volatility Comparison
AllianzIM U.S. Large Cap Buffer20 Sep ETF (SEPW) has a higher volatility of 0.98% compared to Brookstone Ultra-Short Bond ETF (BAMU) at 0.09%. This indicates that SEPW's price experiences larger fluctuations and is considered to be riskier than BAMU based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| SEPW | BAMU | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 0.98% | 0.09% | +0.89% |
Volatility (6M)Calculated over the trailing 6-month period | 3.48% | 0.40% | +3.08% |
Volatility (1Y)Calculated over the trailing 1-year period | 4.65% | 0.58% | +4.07% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 6.42% | 0.87% | +5.55% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 6.42% | 0.87% | +5.55% |
SEPW vs. BAMU - Expense Ratio Comparison
SEPW has a 0.74% expense ratio, which is lower than BAMU's 1.09% expense ratio.
Dividends
SEPW vs. BAMU - Dividend Comparison
SEPW has not paid dividends to shareholders, while BAMU's dividend yield for the trailing twelve months is around 3.05%.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
BAMU Brookstone Ultra-Short Bond ETF | 3.05% | 3.20% | 3.97% | 0.84% |
SEPW AllianzIM U.S. Large Cap Buffer20 Sep ETF | 0.00% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
SEPW and BAMU have a correlation of -0.10, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SEPW has higher volatility (0.98%) compared to BAMU (0.09%). In terms of maximum drawdown, SEPW dropped -8.43% vs BAMU's -0.36%.
On 1-year performance, SEPW leads with 12.50% vs 2.91% for BAMU. On fees, SEPW is cheaper at 0.74% per year. On volatility, BAMU has been the lower-risk option at 0.09%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, SEPW has performed better with a 12.50% return vs 2.91%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SEPW is cheaper with a 0.74% expense ratio, compared with 1.09% for BAMU.
BAMU has the higher dividend yield at 3.05%, compared with 0.00% for SEPW.
SEPW is categorized as Options Trading, while BAMU is Ultrashort Bond. They also come from different issuers: Allianz and Brookstone. Their fees differ too: 0.74% for SEPW and 1.09% for BAMU.
BAMU currently has the higher Sharpe Ratio (5.01 vs 2.70), 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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