EMEQ vs. GOOY
EMEQ (Nomura Focused Emerging Markets Equity ETF) and GOOY (YieldMax GOOGL Option Income Strategy ETF) are both exchange-traded funds - EMEQ is a Emerging Markets Diversified fund actively managed by Nomura, while GOOY is a Derivative Income fund actively managed by YieldMax. Both are actively managed. Over the past year, EMEQ returned 141.42% vs 81.48% for GOOY. At a 0.43 correlation, their price movements are largely independent. EMEQ charges 0.86%/yr vs 0.99%/yr for GOOY.
Performance
EMEQ vs. GOOY - Performance Comparison
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Returns By Period
In the year-to-date period, EMEQ achieves a 70.13% return, which is significantly higher than GOOY's 13.92% return.
EMEQ
- 1D
- 0.81%
- 1M
- 10.20%
- YTD
- 70.13%
- 6M
- 81.37%
- 1Y
- 141.42%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
GOOY
- 1D
- 0.00%
- 1M
- -7.48%
- YTD
- 13.92%
- 6M
- 14.56%
- 1Y
- 81.48%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
EMEQ vs. GOOY - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
EMEQ Nomura Focused Emerging Markets Equity ETF | 70.13% | 69.78% | -0.73% |
GOOY YieldMax GOOGL Option Income Strategy ETF | 13.92% | 53.95% | 10.36% |
Correlation
The correlation between EMEQ and GOOY is 0.45, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.45 |
Correlation (All Time) Calculated using the full available price history since Sep 5, 2024 | 0.43 |
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Return for Risk
EMEQ vs. GOOY — Risk / Return Rank
EMEQ
GOOY
EMEQ vs. GOOY - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Nomura Focused Emerging Markets Equity ETF (EMEQ) and YieldMax GOOGL Option Income Strategy ETF (GOOY). 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.
| EMEQ | GOOY | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.38 | ||
| Sortino ratioReturn per unit of downside risk | -0.73 | ||
| Omega ratioGain probability vs. loss probability | 1.61 | 1.60 | +0.01 |
| Calmar ratioReturn relative to maximum drawdown | 7.71 | 5.06 | +2.65 |
| Martin ratioReturn relative to average drawdown | 28.78 | 18.64 | +10.14 |
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Drawdowns
EMEQ vs. GOOY - Drawdown Comparison
The maximum EMEQ drawdown since its inception was -19.99%, smaller than the maximum GOOY drawdown of -24.40%. Use the drawdown chart below to compare losses from any high point for EMEQ and GOOY.
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Drawdown Indicators
| EMEQ | GOOY | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -19.99% | -24.40% | +4.41% |
Max Drawdown (1Y)Largest decline over 1 year | -17.91% | -16.15% | -1.76% |
Current DrawdownCurrent decline from peak | -5.69% | -8.37% | +2.68% |
Average DrawdownAverage peak-to-trough decline | -4.05% | -6.27% | +2.22% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.79% | 4.38% | +0.41% |
Volatility
EMEQ vs. GOOY - Volatility Comparison
Nomura Focused Emerging Markets Equity ETF (EMEQ) has a higher volatility of 19.34% compared to YieldMax GOOGL Option Income Strategy ETF (GOOY) at 6.21%. This indicates that EMEQ's price experiences larger fluctuations and is considered to be riskier than GOOY based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| EMEQ | GOOY | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 19.34% | 6.21% | +13.13% |
Volatility (6M)Calculated over the trailing 6-month period | 32.54% | 17.39% | +15.15% |
Volatility (1Y)Calculated over the trailing 1-year period | 35.48% | 23.33% | +12.15% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 31.87% | 23.29% | +8.58% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 31.87% | 23.29% | +8.58% |
EMEQ vs. GOOY - Expense Ratio Comparison
EMEQ has a 0.86% expense ratio, which is lower than GOOY's 0.99% expense ratio.
Dividends
EMEQ vs. GOOY - Dividend Comparison
EMEQ's dividend yield for the trailing twelve months is around 1.62%, less than GOOY's 49.78% yield.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
EMEQ Nomura Focused Emerging Markets Equity ETF | 1.62% | 2.76% | 0.84% | 0.00% |
GOOY YieldMax GOOGL Option Income Strategy ETF | 49.78% | 41.50% | 36.74% | 7.90% |
Frequently Asked Questions
EMEQ and GOOY have a correlation of 0.45, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
EMEQ has higher volatility (19.34%) compared to GOOY (6.21%). In terms of maximum drawdown, EMEQ dropped -19.99% vs GOOY's -24.40%.
On 1-year performance, EMEQ leads with 141.42% vs 81.48% for GOOY. On fees, EMEQ is cheaper at 0.86% per year. On volatility, GOOY has been the lower-risk option at 6.21%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, EMEQ has performed better with a 141.42% return vs 81.48%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
EMEQ is cheaper with a 0.86% expense ratio, compared with 0.99% for GOOY.
GOOY has the higher dividend yield at 49.78%, compared with 1.62% for EMEQ.
EMEQ is categorized as Emerging Markets Diversified, while GOOY is Derivative Income. They also come from different issuers: Nomura and YieldMax. Their fees differ too: 0.86% for EMEQ and 0.99% for GOOY.
EMEQ currently has the higher Sharpe Ratio (3.89 vs 3.51), 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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