SHNY vs. GDXU
SHNY (MicroSectors Gold 3X Leveraged ETN) and GDXU (MicroSectors Gold Miners 3X Leveraged ETNs due June 29, 2040) are both exchange-traded funds - SHNY is a Leveraged Commodities fund managed by BMO, while GDXU is a Leveraged Equities fund tracking the S-Network MicroSectors Gold Miners Index. Over the past 3 years, SHNY returned 49.33%/yr vs 37.86%/yr for GDXU. A 0.80 correlation means they provide meaningful diversification when combined. Both charge a 0.95% expense ratio.
Performance
SHNY vs. GDXU - Performance Comparison
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Returns By Period
In the year-to-date period, SHNY achieves a -34.20% return, which is significantly higher than GDXU's -61.33% return.
SHNY
- 1D
- -5.70%
- 1M
- -27.06%
- YTD
- -34.20%
- 6M
- -42.91%
- 1Y
- 14.03%
- 3Y*
- 49.33%
- 5Y*
- —
- 10Y*
- —
GDXU
- 1D
- -14.32%
- 1M
- -33.30%
- YTD
- -61.33%
- 6M
- -67.45%
- 1Y
- 21.84%
- 3Y*
- 37.86%
- 5Y*
- -10.98%
- 10Y*
- —
SHNY vs. GDXU - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
SHNY MicroSectors Gold 3X Leveraged ETN | -34.20% | 214.54% | 50.30% | 10.98% |
GDXU MicroSectors Gold Miners 3X Leveraged ETNs due June 29, 2040 | -61.33% | 796.47% | -18.60% | -8.45% |
Correlation
The correlation between SHNY and GDXU is 0.80, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.80 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.80 |
Correlation (All Time) Calculated using the full available price history since Feb 22, 2023 | 0.80 |
The correlation between SHNY and GDXU has been stable across timeframes, ranging from 0.80 to 0.80 - a consistent structural relationship.
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Return for Risk
SHNY vs. GDXU — Risk / Return Rank
SHNY
GDXU
SHNY vs. GDXU - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for MicroSectors Gold 3X Leveraged ETN (SHNY) and MicroSectors Gold Miners 3X Leveraged ETNs due June 29, 2040 (GDXU). 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.
| SHNY | GDXU | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.02 | ||
| Sortino ratioReturn per unit of downside risk | -0.44 | ||
| Omega ratioGain probability vs. loss probability | 1.11 | 1.17 | -0.05 |
| Calmar ratioReturn relative to maximum drawdown | 0.22 | 0.26 | -0.05 |
| Martin ratioReturn relative to average drawdown | 0.49 | 0.55 | -0.06 |
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Drawdowns
SHNY vs. GDXU - Drawdown Comparison
The maximum SHNY drawdown since its inception was -65.54%, smaller than the maximum GDXU drawdown of -94.39%. Use the drawdown chart below to compare losses from any high point for SHNY and GDXU.
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Drawdown Indicators
| SHNY | GDXU | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -65.54% | -94.39% | +28.85% |
Max Drawdown (1Y)Largest decline over 1 year | -65.54% | -83.97% | +18.43% |
Max Drawdown (3Y)Largest decline over 3 years | -65.54% | -83.97% | +18.43% |
Max Drawdown (5Y)Largest decline over 5 years | — | -91.30% | — |
Current DrawdownCurrent decline from peak | -65.38% | -82.05% | +16.67% |
Average DrawdownAverage peak-to-trough decline | -15.65% | -69.80% | +54.15% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 28.98% | 40.13% | -11.15% |
Volatility
SHNY vs. GDXU - Volatility Comparison
The current volatility for MicroSectors Gold 3X Leveraged ETN (SHNY) is 24.50%, while MicroSectors Gold Miners 3X Leveraged ETNs due June 29, 2040 (GDXU) has a volatility of 55.17%. This indicates that SHNY experiences smaller price fluctuations and is considered to be less risky than GDXU based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| SHNY | GDXU | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 24.50% | 55.17% | -30.67% |
Volatility (6M)Calculated over the trailing 6-month period | 74.44% | 126.35% | -51.91% |
Volatility (1Y)Calculated over the trailing 1-year period | 81.62% | 144.35% | -62.73% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 59.25% | 112.41% | -53.16% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 59.25% | 111.26% | -52.01% |
SHNY vs. GDXU - Expense Ratio Comparison
Both SHNY and GDXU have an expense ratio of 0.95%.
Dividends
SHNY vs. GDXU - Dividend Comparison
Neither SHNY nor GDXU has paid dividends to shareholders.
Frequently Asked Questions
SHNY and GDXU have a correlation of 0.80, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
GDXU has higher volatility (55.17%) compared to SHNY (24.50%). In terms of maximum drawdown, SHNY dropped -65.54% vs GDXU's -94.39%.
On 3-year performance, SHNY leads with 49.33% vs 37.86% for GDXU. Both ETFs have the same 0.95% expense ratio. On volatility, SHNY has been the lower-risk option at 24.50%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 3-year period, SHNY has performed better with a 49.33% return vs 37.86%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SHNY and GDXU have the same expense ratio: 0.95% per year.
SHNY and GDXU have nearly identical dividend yields, around 0.00%.
SHNY is categorized as Leveraged Commodities, while GDXU is Leveraged Equities.
SHNY currently has the higher Sharpe Ratio (0.17 vs 0.15), 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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