GDXD vs. SHNY
GDXD (MicroSectors Gold Miners -3X Inverse Leveraged ETNs) and SHNY (MicroSectors Gold 3X Leveraged ETN) are both exchange-traded funds - GDXD is a Inverse Equities fund tracking the S-Network MicroSectors Gold Miners Index - Benchmark TR Gross (-300%), while SHNY is a Leveraged Commodities fund managed by BMO. Over the past 3 years, GDXD returned -82.31%/yr vs 42.52%/yr for SHNY. At a correlation of -0.80, they often move in opposite directions. Both charge a 0.95% expense ratio.
Performance
GDXD vs. SHNY - Performance Comparison
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Returns By Period
In the year-to-date period, GDXD achieves a -37.37% return, which is significantly higher than SHNY's -40.47% return.
GDXD
- 1D
- 8.77%
- 1M
- 16.42%
- 6M
- -11.19%
- YTD
- -37.37%
- 1Y
- -91.03%
- 3Y*
- -82.31%
- 5Y*
- -72.96%
- 10Y*
- —
SHNY
- 1D
- -7.82%
- 1M
- -16.88%
- 6M
- -50.33%
- YTD
- -40.47%
- 1Y
- 7.13%
- 3Y*
- 42.52%
- 5Y*
- —
- 10Y*
- —
GDXD vs. SHNY - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
GDXD MicroSectors Gold Miners -3X Inverse Leveraged ETNs | -37.37% | -97.53% | -57.78% | -52.68% |
SHNY MicroSectors Gold 3X Leveraged ETN | -40.47% | 214.54% | 50.30% | 10.98% |
Correlation
The correlation between GDXD and SHNY is -0.81, 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 | -0.82 |
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 GDXD and SHNY has been stable across timeframes, ranging from -0.81 to -0.80 - a consistent structural relationship.
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Return for Risk
GDXD vs. SHNY — Risk / Return Rank
GDXD
SHNY
GDXD vs. SHNY - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for MicroSectors Gold Miners -3X Inverse Leveraged ETNs (GDXD) and MicroSectors Gold 3X Leveraged ETN (SHNY). 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.
| GDXD | SHNY | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.72 | ||
| Sortino ratioReturn per unit of downside risk | -2.09 | ||
| Omega ratioGain probability vs. loss probability | 0.85 | 1.10 | -0.25 |
| Calmar ratioReturn relative to maximum drawdown | -0.95 | 0.10 | -1.05 |
| Martin ratioReturn relative to average drawdown | -1.12 | 0.22 | -1.34 |
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Drawdowns
GDXD vs. SHNY - Drawdown Comparison
The maximum GDXD drawdown since its inception was -99.96%, which is greater than SHNY's maximum drawdown of -68.68%. Use the drawdown chart below to compare losses from any high point for GDXD and SHNY.
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Drawdown Indicators
| GDXD | SHNY | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -99.96% | -68.68% | -31.28% |
Max Drawdown (1Y)Largest decline over 1 year | -96.19% | -68.68% | -27.51% |
Max Drawdown (3Y)Largest decline over 3 years | -99.86% | -68.68% | -31.18% |
Max Drawdown (5Y)Largest decline over 5 years | -99.96% | — | — |
Current DrawdownCurrent decline from peak | -99.91% | -68.68% | -31.23% |
Average DrawdownAverage peak-to-trough decline | -72.32% | -16.43% | -55.89% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 80.98% | 32.69% | +48.29% |
Volatility
GDXD vs. SHNY - Volatility Comparison
MicroSectors Gold Miners -3X Inverse Leveraged ETNs (GDXD) has a higher volatility of 47.16% compared to MicroSectors Gold 3X Leveraged ETN (SHNY) at 22.33%. This indicates that GDXD's price experiences larger fluctuations and is considered to be riskier than SHNY based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| GDXD | SHNY | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 47.16% | 22.33% | +24.83% |
Volatility (6M)Calculated over the trailing 6-month period | 117.86% | 73.77% | +44.09% |
Volatility (1Y)Calculated over the trailing 1-year period | 144.94% | 82.73% | +62.21% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 112.08% | 59.44% | +52.64% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 110.75% | 59.44% | +51.31% |
GDXD vs. SHNY - Expense Ratio Comparison
Both GDXD and SHNY have an expense ratio of 0.95%.
Dividends
GDXD vs. SHNY - Dividend Comparison
Neither GDXD nor SHNY has paid dividends to shareholders.
Frequently Asked Questions
GDXD and SHNY have a correlation of -0.81, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
GDXD has higher volatility (47.16%) compared to SHNY (22.33%). In terms of maximum drawdown, GDXD dropped -99.96% vs SHNY's -68.68%.
On 3-year performance, SHNY leads with 42.52% vs -82.31% for GDXD. Both ETFs have the same 0.95% expense ratio. On volatility, SHNY has been the lower-risk option at 22.33%. 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 42.52% return vs -82.31%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
GDXD and SHNY have the same expense ratio: 0.95% per year.
GDXD and SHNY have nearly identical dividend yields, around 0.00%.
GDXD is categorized as Inverse Equities, while SHNY is Leveraged Commodities.
SHNY currently has the higher Sharpe Ratio (0.09 vs -0.63), 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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