GMAY vs. SAUG
GMAY (FT Cboe Vest U.S. Equity Moderate Buffer ETF - May) and SAUG (FT Cboe Vest U.S. Small Cap Moderate Buffer ETF - August) are both Options Trading funds from FT Vest. Both are actively managed. Over the past year, GMAY returned 12.38% vs 19.51% for SAUG. A 0.65 correlation means they provide meaningful diversification when combined. GMAY charges 0.85%/yr vs 0.90%/yr for SAUG.
Performance
GMAY vs. SAUG - Performance Comparison
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Returns By Period
In the year-to-date period, GMAY achieves a 4.42% return, which is significantly lower than SAUG's 7.65% return.
GMAY
- 1D
- -0.35%
- 1M
- 1.29%
- YTD
- 4.42%
- 6M
- 5.09%
- 1Y
- 12.38%
- 3Y*
- 12.18%
- 5Y*
- —
- 10Y*
- —
SAUG
- 1D
- -0.19%
- 1M
- 1.58%
- YTD
- 7.65%
- 6M
- 7.95%
- 1Y
- 19.51%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
GMAY vs. SAUG - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
GMAY FT Cboe Vest U.S. Equity Moderate Buffer ETF - May | 4.42% | 11.94% | 12.12% | 5.70% |
SAUG FT Cboe Vest U.S. Small Cap Moderate Buffer ETF - August | 7.65% | 8.23% | 11.08% | 6.26% |
Correlation
The correlation between GMAY and SAUG is 0.68, 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 | 0.68 |
Correlation (All Time) Calculated using the full available price history since Aug 22, 2023 | 0.65 |
The correlation between GMAY and SAUG has been stable across timeframes, ranging from 0.65 to 0.68 - a consistent structural relationship.
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Return for Risk
GMAY vs. SAUG — Risk / Return Rank
GMAY
SAUG
GMAY vs. SAUG - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for FT Cboe Vest U.S. Equity Moderate Buffer ETF - May (GMAY) and FT Cboe Vest U.S. Small Cap Moderate Buffer ETF - August (SAUG). 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.
| GMAY | SAUG | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.56 | ||
| Sortino ratioReturn per unit of downside risk | +0.83 | ||
| Omega ratioGain probability vs. loss probability | 1.55 | 1.39 | +0.16 |
| Calmar ratioReturn relative to maximum drawdown | 4.00 | 4.78 | -0.78 |
| Martin ratioReturn relative to average drawdown | 23.44 | 15.56 | +7.88 |
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
| GMAY | SAUG | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.61 | 2.05 | +0.56 |
Sharpe Ratio (All Time)Calculated using the full available price history | 1.60 | 1.03 | +0.56 |
Drawdowns
GMAY vs. SAUG - Drawdown Comparison
The maximum GMAY drawdown since its inception was -11.75%, smaller than the maximum SAUG drawdown of -14.62%. Use the drawdown chart below to compare losses from any high point for GMAY and SAUG.
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Drawdown Indicators
| GMAY | SAUG | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -11.75% | -14.62% | +2.87% |
Max Drawdown (1Y)Largest decline over 1 year | -3.11% | -4.10% | +0.99% |
Max Drawdown (3Y)Largest decline over 3 years | -11.75% | — | — |
Current DrawdownCurrent decline from peak | -0.35% | -0.19% | -0.16% |
Average DrawdownAverage peak-to-trough decline | -0.72% | -2.24% | +1.52% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 0.53% | 1.26% | -0.73% |
Volatility
GMAY vs. SAUG - Volatility Comparison
FT Cboe Vest U.S. Equity Moderate Buffer ETF - May (GMAY) and FT Cboe Vest U.S. Small Cap Moderate Buffer ETF - August (SAUG) have volatilities of 1.21% and 1.22%, 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
| GMAY | SAUG | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 1.21% | 1.22% | -0.01% |
Volatility (6M)Calculated over the trailing 6-month period | 3.71% | 5.41% | -1.70% |
Volatility (1Y)Calculated over the trailing 1-year period | 4.77% | 9.59% | -4.82% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 7.85% | 11.81% | -3.96% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 7.85% | 11.81% | -3.96% |
GMAY vs. SAUG - Expense Ratio Comparison
GMAY has a 0.85% expense ratio, which is lower than SAUG's 0.90% expense ratio.
Dividends
GMAY vs. SAUG - Dividend Comparison
Neither GMAY nor SAUG has paid dividends to shareholders.
Frequently Asked Questions
GMAY and SAUG have a correlation of 0.68, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SAUG has higher volatility (1.22%) compared to GMAY (1.21%). In terms of maximum drawdown, GMAY dropped -11.75% vs SAUG's -14.62%.
On 1-year performance, SAUG leads with 19.51% vs 12.38% for GMAY. On fees, GMAY is cheaper at 0.85% 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, SAUG has performed better with a 19.51% return vs 12.38%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
GMAY is cheaper with a 0.85% expense ratio, compared with 0.90% for SAUG.
GMAY and SAUG have nearly identical dividend yields, around 0.00%.
Their fees differ too: 0.85% for GMAY and 0.90% for SAUG.
GMAY currently has the higher Sharpe Ratio (2.61 vs 2.05), 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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