AUGW vs. XIMR
AUGW (AllianzIM U.S. Large Cap Buffer20 Aug ETF) and XIMR (FT Vest U.S. Equity Buffer & Premium Income ETF - March) are both Options Trading funds. Both are actively managed. Over the past year, AUGW returned 13.11% vs 8.49% for XIMR. A 0.63 correlation means they provide meaningful diversification when combined. AUGW charges 0.74%/yr vs 0.85%/yr for XIMR.
Performance
AUGW vs. XIMR - Performance Comparison
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Returns By Period
The year-to-date returns for both stocks are quite close, with AUGW having a 4.44% return and XIMR slightly lower at 4.31%.
AUGW
- 1D
- 0.09%
- 1M
- 0.56%
- YTD
- 4.44%
- 6M
- 4.48%
- 1Y
- 13.11%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
XIMR
- 1D
- -0.02%
- 1M
- 0.28%
- YTD
- 4.31%
- 6M
- 4.51%
- 1Y
- 8.49%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
AUGW vs. XIMR - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
AUGW AllianzIM U.S. Large Cap Buffer20 Aug ETF | 4.44% | 11.19% | 8.68% |
XIMR FT Vest U.S. Equity Buffer & Premium Income ETF - March | 4.31% | 6.80% | 5.75% |
Correlation
The correlation between AUGW and XIMR is 0.65, 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 | 0.65 |
Correlation (All Time) Calculated using the full available price history since Mar 19, 2024 | 0.63 |
The correlation between AUGW and XIMR has been stable across timeframes, ranging from 0.63 to 0.65 - a consistent structural relationship.
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Return for Risk
AUGW vs. XIMR — Risk / Return Rank
AUGW
XIMR
AUGW vs. XIMR - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for AllianzIM U.S. Large Cap Buffer20 Aug ETF (AUGW) and FT Vest U.S. Equity Buffer & Premium Income ETF - March (XIMR). 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.
| AUGW | XIMR | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.22 | ||
| Sortino ratioReturn per unit of downside risk | -3.23 | ||
| Omega ratioGain probability vs. loss probability | 1.62 | 2.33 | -0.71 |
| Calmar ratioReturn relative to maximum drawdown | 4.12 | 7.87 | -3.75 |
| Martin ratioReturn relative to average drawdown | 22.35 | 64.30 | -41.95 |
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Drawdowns
AUGW vs. XIMR - Drawdown Comparison
The maximum AUGW drawdown since its inception was -8.76%, which is greater than XIMR's maximum drawdown of -5.12%. Use the drawdown chart below to compare losses from any high point for AUGW and XIMR.
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Drawdown Indicators
| AUGW | XIMR | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -8.76% | -5.12% | -3.64% |
Max Drawdown (1Y)Largest decline over 1 year | -3.20% | -1.08% | -2.12% |
Current DrawdownCurrent decline from peak | -0.01% | -0.14% | +0.13% |
Average DrawdownAverage peak-to-trough decline | -0.73% | -0.17% | -0.56% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 0.59% | 0.13% | +0.46% |
Volatility
AUGW vs. XIMR - Volatility Comparison
AllianzIM U.S. Large Cap Buffer20 Aug ETF (AUGW) and FT Vest U.S. Equity Buffer & Premium Income ETF - March (XIMR) have volatilities of 0.79% and 0.77%, 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
| AUGW | XIMR | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 0.79% | 0.77% | +0.02% |
Volatility (6M)Calculated over the trailing 6-month period | 3.42% | 1.78% | +1.64% |
Volatility (1Y)Calculated over the trailing 1-year period | 4.56% | 2.07% | +2.49% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 6.72% | 4.34% | +2.38% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 6.72% | 4.34% | +2.38% |
AUGW vs. XIMR - Expense Ratio Comparison
AUGW has a 0.74% expense ratio, which is lower than XIMR's 0.85% expense ratio.
Dividends
AUGW vs. XIMR - Dividend Comparison
AUGW has not paid dividends to shareholders, while XIMR's dividend yield for the trailing twelve months is around 6.42%.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
AUGW AllianzIM U.S. Large Cap Buffer20 Aug ETF | 0.00% | 0.00% | 0.00% |
XIMR FT Vest U.S. Equity Buffer & Premium Income ETF - March | 6.42% | 6.41% | 4.44% |
Frequently Asked Questions
AUGW and XIMR have a correlation of 0.65, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
AUGW has higher volatility (0.79%) compared to XIMR (0.77%). In terms of maximum drawdown, AUGW dropped -8.76% vs XIMR's -5.12%.
On 1-year performance, AUGW leads with 13.11% vs 8.49% for XIMR. On fees, AUGW is cheaper at 0.74% 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, AUGW has performed better with a 13.11% return vs 8.49%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
AUGW is cheaper with a 0.74% expense ratio, compared with 0.85% for XIMR.
XIMR has the higher dividend yield at 6.42%, compared with 0.00% for AUGW.
They also come from different issuers: Allianz and FT Vest. Their fees differ too: 0.74% for AUGW and 0.85% for XIMR.
XIMR currently has the higher Sharpe Ratio (4.12 vs 2.89), 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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