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BNKU vs. SOXL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

BNKU vs. SOXL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in MicroSectors U.S. Big Banks Index 3X Leveraged ETNs (BNKU) and Direxion Daily Semiconductor Bull 3X ETF (SOXL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, BNKU achieves a 22.19% return, which is significantly lower than SOXL's 501.02% return.


BNKU

1D
0.94%
1M
25.27%
YTD
22.19%
6M
13.05%
1Y
101.11%
3Y*
5Y*
10Y*

SOXL

1D
10.04%
1M
11.88%
YTD
501.02%
6M
471.39%
1Y
928.01%
3Y*
126.70%
5Y*
44.97%
10Y*
68.12%
*Multi-year figures are annualized to reflect compound growth (CAGR)

BNKU vs. SOXL - Yearly Performance Comparison


Correlation

The correlation between BNKU and SOXL is 0.33, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.33

Correlation (All Time)
Calculated using the full available price history since Feb 20, 2025

0.44

The correlation between BNKU and SOXL shifts across timeframes, from 0.33 (1 year) to 0.44 (all time), reflecting how their relationship changes across market environments.

BNKU vs. SOXL - Sectors Allocation Comparison


Sectors
BNKU
SOXL

Financial Services

100.0%

-

Basic Materials

-

-

Communication Services

-

-

Consumer Cyclical

-

-

Consumer Defensive

-

-

Energy

-

-

Healthcare

-

-

Industrials

-

-

Real Estate

-

-

Technology

-

100.0%

Utilities

-

-

Financial Services

BNKU
100.0%
SOXL

-

Basic Materials

BNKU

-

SOXL

-

Communication Services

BNKU

-

SOXL

-

Consumer Cyclical

BNKU

-

SOXL

-

Consumer Defensive

BNKU

-

SOXL

-

Energy

BNKU

-

SOXL

-

Healthcare

BNKU

-

SOXL

-

Industrials

BNKU

-

SOXL

-

Real Estate

BNKU

-

SOXL

-

Technology

BNKU

-

SOXL
100.0%

Utilities

BNKU

-

SOXL

-

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Return for Risk

BNKU vs. SOXL — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

BNKU
BNKU Risk / Return Rank: 5353
Overall Rank
BNKU Sharpe Ratio Rank: 6161
Sharpe Ratio Rank
BNKU Sortino Ratio Rank: 5050
Sortino Ratio Rank
BNKU Omega Ratio Rank: 5050
Omega Ratio Rank
BNKU Calmar Ratio Rank: 5858
Calmar Ratio Rank
BNKU Martin Ratio Rank: 4545
Martin Ratio Rank

SOXL
SOXL Risk / Return Rank: 9797
Overall Rank
SOXL Sharpe Ratio Rank: 9999
Sharpe Ratio Rank
SOXL Sortino Ratio Rank: 9393
Sortino Ratio Rank
SOXL Omega Ratio Rank: 9393
Omega Ratio Rank
SOXL Calmar Ratio Rank: 9999
Calmar Ratio Rank
SOXL Martin Ratio Rank: 9898
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.

BNKU vs. SOXL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for MicroSectors U.S. Big Banks Index 3X Leveraged ETNs (BNKU) and Direxion Daily Semiconductor Bull 3X ETF (SOXL). 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.


BNKUSOXLDifference
Sharpe ratioReturn per unit of total volatility

-6.27

Sortino ratioReturn per unit of downside risk

-1.80

Omega ratioGain probability vs. loss probability

1.28

1.57

-0.29

Calmar ratioReturn relative to maximum drawdown

2.48

21.57

-19.09

Martin ratioReturn relative to average drawdown

6.53

68.63

-62.10

BNKU vs. SOXL - Sharpe Ratio Comparison

The current BNKU Sharpe Ratio is 1.76, which is lower than the SOXL Sharpe Ratio of 8.03. The chart below compares the historical Sharpe Ratios of BNKU and SOXL, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

BNKU vs. SOXL - Drawdown Comparison

The maximum BNKU drawdown since its inception was -61.21%, smaller than the maximum SOXL drawdown of -90.46%. Use the drawdown chart below to compare losses from any high point for BNKU and SOXL.


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Drawdown Indicators


BNKUSOXLDifference

Max Drawdown

Largest peak-to-trough decline

-61.21%

-90.46%

+29.25%

Max Drawdown (1Y)

Largest decline over 1 year

-40.97%

-43.47%

+2.50%

Max Drawdown (3Y)

Largest decline over 3 years

-87.88%

Max Drawdown (5Y)

Largest decline over 5 years

-90.46%

Max Drawdown (10Y)

Largest decline over 10 years

-90.46%

Current Drawdown

Current decline from peak

-1.92%

-16.01%

+14.09%

Average Drawdown

Average peak-to-trough decline

-17.66%

-34.94%

+17.28%

Ulcer Index

Depth and duration of drawdowns from previous peaks

15.55%

13.64%

+1.91%

Volatility

BNKU vs. SOXL - Volatility Comparison

The current volatility for MicroSectors U.S. Big Banks Index 3X Leveraged ETNs (BNKU) is 16.75%, while Direxion Daily Semiconductor Bull 3X ETF (SOXL) has a volatility of 66.73%. This indicates that BNKU experiences smaller price fluctuations and is considered to be less risky than SOXL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


BNKUSOXLDifference

Volatility (1M)

Calculated over the trailing 1-month period

16.75%

66.73%

-49.98%

Volatility (6M)

Calculated over the trailing 6-month period

45.99%

99.97%

-53.98%

Volatility (1Y)

Calculated over the trailing 1-year period

57.66%

116.70%

-59.04%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

72.67%

110.41%

-37.74%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

72.67%

100.63%

-27.96%

BNKU vs. SOXL - Expense Ratio Comparison

BNKU has a 0.95% expense ratio, which is higher than SOXL's 0.75% expense ratio.


Dividends

BNKU vs. SOXL - Dividend Comparison

Neither BNKU nor SOXL has paid dividends to shareholders.


PositionTTM2025202420232022202120202019201820172016
BNKU
MicroSectors U.S. Big Banks Index 3X Leveraged ETNs
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SOXL
Direxion Daily Semiconductor Bull 3X ETF
0.00%0.34%1.18%0.51%1.07%0.04%0.05%0.38%1.30%0.09%4.84%

Frequently Asked Questions


BNKU and SOXL have a correlation of 0.33, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SOXL has higher volatility (66.73%) compared to BNKU (16.75%). In terms of maximum drawdown, BNKU dropped -61.21% vs SOXL's -90.46%.

On 1-year performance, SOXL leads with 928.01% vs 101.11% for BNKU. On fees, SOXL is cheaper at 0.75% per year. On volatility, BNKU has been the lower-risk option at 16.75%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, SOXL has performed better with a 928.01% return vs 101.11%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SOXL is cheaper with a 0.75% expense ratio, compared with 0.95% for BNKU.

BNKU and SOXL have nearly identical dividend yields, around 0.00%.

BNKU tracks Solactive MicroSectors U.S. Big Banks Index (-300%), while SOXL tracks ICE Semiconductor Index. They also come from different issuers: Bank of Montreal and Direxion. Their fees differ too: 0.95% for BNKU and 0.75% for SOXL.

SOXL currently has the higher Sharpe Ratio (8.03 vs 1.76), 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.

Portfolio Optimizer

Find the right allocation for BNKU and SOXL

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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