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ISIN
US0636798235
CUSIP
063679823
Inception Date
Apr 2, 2019
Region
North America (U.S.)
Leveraged
3x
Index Tracked
Solactive MicroSectors U.S. Big Banks Index (-300%)
Distribution Policy
Accumulating
Asset Class
Equity
Asset Class Size
Large-Cap
Asset Class Style
Value
Assets Under Management
$33M

Share Price Chart


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Performance

BNKU Performance Chart

MicroSectors U.S. Big Banks Index 3X Leveraged ETNs (BNKU) is up 16.3% since the beginning of the year. BNKU is currently trading at $39 per share.


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S&P 500 Index

Returns By Period

MicroSectors U.S. Big Banks Index 3X Leveraged ETNs (BNKU) has returned 16.29% so far this year and 111.43% over the past 12 months.


MicroSectors U.S. Big Banks Index 3X Leveraged ETNs

1D
-4.00%
1M
32.29%
YTD
16.29%
6M
21.00%
1Y
111.43%
3Y*
5Y*
10Y*

Benchmark (S&P 500 Index)

1D
1.08%
1M
2.00%
YTD
9.57%
6M
10.71%
1Y
25.41%
3Y*
19.37%
5Y*
12.48%
10Y*
13.67%
*Multi-year figures are annualized to reflect compound growth (CAGR)

BNKU Monthly Returns History

Based on dividend-adjusted daily data since Feb 20, 2025, BNKU's average daily return is +0.24%, while the average monthly return is +3.98%. At this rate, an investment would double in approximately 1.5 years.

Historically, 59% of months were positive and 41% were negative. The best month was May 2025 with a return of +26.6%, while the worst month was Mar 2025 at -27.7%. The longest winning streak lasted 5 consecutive months, and the longest losing streak was 3 months.

On a daily basis, BNKU closed higher 57% of trading days. The best single day was Apr 9, 2025 with a return of +26.3%, while the worst single day was Apr 3, 2025 at -26.1%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
20263.25%-19.51%-5.87%26.24%-2.44%20.70%16.29%
2025-10.64%-27.67%-14.47%26.57%24.87%8.84%11.69%5.81%-4.15%4.44%19.96%34.97%

Benchmark Metrics

MicroSectors U.S. Big Banks Index 3X Leveraged ETNs has an annualized alpha of 8.23%, beta of 3.21, and R2 of 0.62 versus S&P 500 Index. Calculated based on daily prices since February 20, 2025.

  • This ETF captured 381.32% of S&P 500 Index gains and 227.35% of its losses - amplifying both gains and losses, but participating more in upside than downside.
  • This ETF generated an annualized alpha of 8.23% versus S&P 500 Index - delivering returns beyond what market exposure alone would predict.
  • Beta of 3.21 means this ETF moves significantly more than S&P 500 Index - expect amplified gains in rallies and amplified losses in downturns.

Alpha
8.23%
Beta
3.21
0.62
Upside Capture
381.32%
Downside Capture
227.35%

Expense Ratio

BNKU has a high expense ratio of 0.95%, indicating above-average management fees.


Return for Risk

Risk / Return Rank

BNKU ranks 53 for risk / return — on par with similar ETFs. You're getting a typical balance of risk and reward. Not a standout, but not a red flag either — a reasonable choice if other factors align with your goals.


BNKU Risk / Return Rank: 5353
Overall Rank
BNKU Sharpe Ratio Rank: 6262
Sharpe Ratio Rank
BNKU Sortino Ratio Rank: 4949
Sortino Ratio Rank
BNKU Omega Ratio Rank: 4949
Omega Ratio Rank
BNKU Calmar Ratio Rank: 5858
Calmar Ratio Rank
BNKU Martin Ratio Rank: 4646
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics

The table below present risk-adjusted performance metrics for MicroSectors U.S. Big Banks Index 3X Leveraged ETNs (BNKU) and compare them to S&P 500 Index.

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.


BNKUBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

-0.10

Sortino ratioReturn per unit of downside risk

-0.47

Omega ratioGain probability vs. loss probability

1.30

1.37

-0.07

Calmar ratioReturn relative to maximum drawdown

2.74

2.81

-0.07

Martin ratioReturn relative to average drawdown

7.19

12.55

-5.36

Dividends

Dividend History


MicroSectors U.S. Big Banks Index 3X Leveraged ETNs doesn't pay dividends

Drawdowns

Drawdowns Chart

The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.


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Worst Drawdowns

The table below displays the maximum drawdowns of the MicroSectors U.S. Big Banks Index 3X Leveraged ETNs. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.

The maximum drawdown for the MicroSectors U.S. Big Banks Index 3X Leveraged ETNs was 61.21%, occurring on Apr 4, 2025. Recovery took 76 trading sessions.

The current MicroSectors U.S. Big Banks Index 3X Leveraged ETNs drawdown is 4.00%.


Related event

Drawdown

Fall

Recovery

Underwater

2025 selloff2025
-61.21%Apr 2025
1mo 13d3mo 22d
5mo 5dFeb 2025 - Jul 2025
2026 bear market2026
-40.97%Mar 2026
1mo 1d3mo 5d
4mo 6dFeb 2026 - Jun 2026
2025 correction2025
-19.21%Oct 2025
18d1mo 3d
1mo 21dSep 2025 - Nov 2025
2025 correction2025
-15.65%Nov 2025
7d13d
20dNov 2025 - Dec 2025
2026 correction2026
-15.51%Jan 2026
16d14d
1moJan 2026 - Feb 2026

Drawdown Indicators


BNKUBenchmarkDifference

Max Drawdown

Largest peak-to-trough decline

-61.21%

-56.78%

-4.43%

Max Drawdown (1Y)

Largest decline over 1 year

-40.97%

-9.10%

-31.87%

Max Drawdown (3Y)

Largest decline over 3 years

-18.90%

Max Drawdown (5Y)

Largest decline over 5 years

-25.43%

Max Drawdown (10Y)

Largest decline over 10 years

-33.92%

Current Drawdown

Current decline from peak

-4.00%

-1.43%

-2.57%

Average Drawdown

Average peak-to-trough decline

-17.85%

-10.71%

-7.14%

Ulcer Index

Depth and duration of drawdowns from previous peaks

15.55%

2.03%

+13.52%

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Portfolio Analyzer

Build a portfolio with BNKU

Add MicroSectors U.S. Big Banks Index 3X Leveraged ETNs to a portfolio and analyze allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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