BERZ vs. CARD
BERZ (MicroSectors Solactive FANG & Innovation -3X Inverse Leveraged ETN) and CARD (Max Auto Industry -3X Inverse Leveraged ETN) are both Inverse Equities funds - BERZ tracks the Solactive FANG Innovation Index while CARD tracks the Prime Auto Industry Index - Benchmark TR Net (--300%). Both are passively managed. Over the past year, BERZ returned -80.66% vs -30.65% for CARD. A 0.56 correlation means they provide meaningful diversification when combined. Both charge a 0.95% expense ratio.
Performance
BERZ vs. CARD - Performance Comparison
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Returns By Period
In the year-to-date period, BERZ achieves a -55.66% return, which is significantly lower than CARD's 5.96% return.
BERZ
- 1D
- 11.73%
- 1M
- 4.71%
- YTD
- -55.66%
- 6M
- -53.62%
- 1Y
- -80.66%
- 3Y*
- -74.69%
- 5Y*
- —
- 10Y*
- —
CARD
- 1D
- 2.92%
- 1M
- 3.56%
- YTD
- 5.96%
- 6M
- 16.67%
- 1Y
- -30.65%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
BERZ vs. CARD - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
BERZ MicroSectors Solactive FANG & Innovation -3X Inverse Leveraged ETN | -55.66% | -78.81% | -65.95% | -48.56% |
CARD Max Auto Industry -3X Inverse Leveraged ETN | 5.96% | -60.21% | -58.19% | -32.77% |
Correlation
The correlation between BERZ and CARD is 0.55, 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 | 0.55 |
Correlation (All Time) Calculated using the full available price history since Jun 28, 2023 | 0.56 |
The correlation between BERZ and CARD has been stable across timeframes, ranging from 0.55 to 0.56 - a consistent structural relationship.
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Return for Risk
BERZ vs. CARD — Risk / Return Rank
BERZ
CARD
BERZ vs. CARD - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for MicroSectors Solactive FANG & Innovation -3X Inverse Leveraged ETN (BERZ) and Max Auto Industry -3X Inverse Leveraged ETN (CARD). 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.
| BERZ | CARD | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.55 | ||
| Sortino ratioReturn per unit of downside risk | -1.98 | ||
| Omega ratioGain probability vs. loss probability | 0.77 | 0.97 | -0.21 |
| Calmar ratioReturn relative to maximum drawdown | -0.96 | -0.66 | -0.29 |
| Martin ratioReturn relative to average drawdown | -1.56 | -0.97 | -0.58 |
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Drawdowns
BERZ vs. CARD - Drawdown Comparison
The maximum BERZ drawdown since its inception was -99.80%, which is greater than CARD's maximum drawdown of -93.51%. Use the drawdown chart below to compare losses from any high point for BERZ and CARD.
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Drawdown Indicators
| BERZ | CARD | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -99.80% | -93.51% | -6.29% |
Max Drawdown (1Y)Largest decline over 1 year | -84.60% | -46.42% | -38.18% |
Max Drawdown (3Y)Largest decline over 3 years | -98.87% | — | — |
Current DrawdownCurrent decline from peak | -99.73% | -92.04% | -7.69% |
Average DrawdownAverage peak-to-trough decline | -71.81% | -68.71% | -3.10% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 54.31% | 31.50% | +22.81% |
Volatility
BERZ vs. CARD - Volatility Comparison
MicroSectors Solactive FANG & Innovation -3X Inverse Leveraged ETN (BERZ) has a higher volatility of 34.10% compared to Max Auto Industry -3X Inverse Leveraged ETN (CARD) at 24.36%. This indicates that BERZ's price experiences larger fluctuations and is considered to be riskier than CARD based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| BERZ | CARD | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 34.10% | 24.36% | +9.74% |
Volatility (6M)Calculated over the trailing 6-month period | 63.77% | 52.63% | +11.14% |
Volatility (1Y)Calculated over the trailing 1-year period | 81.37% | 70.25% | +11.12% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 92.80% | 80.74% | +12.06% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 92.80% | 80.74% | +12.06% |
BERZ vs. CARD - Expense Ratio Comparison
Both BERZ and CARD have an expense ratio of 0.95%.
Dividends
BERZ vs. CARD - Dividend Comparison
Neither BERZ nor CARD has paid dividends to shareholders.
Frequently Asked Questions
BERZ and CARD have a correlation of 0.55, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
BERZ has higher volatility (34.10%) compared to CARD (24.36%). In terms of maximum drawdown, BERZ dropped -99.80% vs CARD's -93.51%.
On 1-year performance, CARD leads with -30.65% vs -80.66% for BERZ. Both ETFs have the same 0.95% expense ratio. On volatility, CARD has been the lower-risk option at 24.36%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, CARD has performed better with a -30.65% return vs -80.66%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
BERZ and CARD have the same expense ratio: 0.95% per year.
BERZ and CARD have nearly identical dividend yields, around 0.00%.
BERZ tracks Solactive FANG Innovation Index, while CARD tracks Prime Auto Industry Index - Benchmark TR Net (--300%). They also come from different issuers: BMO and Max.
CARD currently has the higher Sharpe Ratio (-0.44 vs -0.99), 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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