MicroSectors U.S. Big Banks -3 Inverse Leveraged ETNs due February 17 2045 (BNKD) holdings & weights
Per-holding contribution · concentration · sector skew — a deep read
10 identified stocks · net exposure / NAV 100.00%. Display weights are normalized to 100%; calculations retain original exposures without an additional leverage multiplier. Cash and unallocated contracts are excluded from stock attribution.
Weight and calculation basis
10 identified stocks · net exposure / NAV 100.00%. Display weights are normalized to 100%; calculations retain original exposures without an additional leverage multiplier. Cash and unallocated contracts are excluded from stock attribution.
We have this ETF's holdings, but the prices for those particular listings are outside our quote coverage (currently Korea- and US-listed securities). So today's contribution and return are not computed — showing 0% would claim it did not move, which is a different statement. The holdings and weights below follow the calculation basis above.
Today's summary
Its top 10 holdings make up about 100.0% of the fund. The concentration index (HHI) is 1000 — Low — evenly diversified, and the largest sector is Financials (100%). The higher the concentration, the more one stock or sector drives the whole ETF's return.
Structural health
A five-axis read on how this fund is built. It is not a return forecast or a recommendation, and a low score does not mean a bad fund — leveraged products score low by design. Each axis shows the figure behind it.
Concentration is below 1,500 (1,000), so no single holding dominates.
Financials alone is 100%. This is effectively a bet on that one industry — if the sector falls, diversification will not help.
A 2x inverse fund. It resets exposure daily, so over more than a few days the result drifts from "index move × 2". Built for short holds.
We don't have cost, fund size for MicroSectors U.S. Big Banks -3 Inverse Leveraged ETNs due February 17 2045 yet, so those axes are excluded and the score is based on the other 3. Scoring a missing figure as zero would grade our data collection, not the fund.
Concentration and diversification
Structural health
A five-axis read on how this fund is built. It is not a return forecast or a recommendation, and a low score does not mean a bad fund — leveraged products score low by design. Each axis shows the figure behind it.
Concentration is below 1,500 (1,000), so no single holding dominates.
Financials alone is 100%. This is effectively a bet on that one industry — if the sector falls, diversification will not help.
A 2x inverse fund. It resets exposure daily, so over more than a few days the result drifts from "index move × 2". Built for short holds.
We don't have cost, fund size for MicroSectors U.S. Big Banks -3 Inverse Leveraged ETNs due February 17 2045 yet, so those axes are excluded and the score is based on the other 3. Scoring a missing figure as zero would grade our data collection, not the fund.
Top 10 holdings
Weights are normalized to 100% of absolute exposures across analysed positions, including positions outside this top list. Cash, collateral and unverified assets are excluded. Contributions retain original signed NAV exposures; leverage is not applied twice.
Normalized to 100% of analysed positions
Weights are normalized to 100% of absolute exposures across analysed positions, including positions outside this top list. Cash, collateral and unverified assets are excluded. Contributions retain original signed NAV exposures; leverage is not applied twice.
| # | Holding | Weight |
|---|---|---|
| 1 | CitigroupC | 10.37% |
| 2 | Wells FargoWFC | 10.23% |
| 3 | U.S. BancorpUSB | 10.11% |
| 4 | JPMorgan ChaseJPM | 10.09% |
| 5 | The Goldman SachsGS | 10.02% |
| 6 | Bank of AmericaBAC | 9.92% |
| 7 | The PNC Financial ServicesPNC | 9.91% |
| 8 | Morgan StanleyMS | 9.89% |
| 9 | The Bank of New York MellonBNY | 9.78% |
| 10 | The Charles SchwabSCHW | 9.68% |
Holdings below 0.5% or outside the top list are folded into “Others” and omitted above.
Where the weight sits — sector mix
Listed equity weights summed by sector and normalized to 100%. Each band is one sector's share.
Industry breakdown
HHI sums the squared weights. The more it leans on a few names, the higher it goes — and the more the whole ETF moves with them.
Leverage / inverse caveat
This fund tracks 2x the inverse of its index — it rises when the index falls, and vice versa.
That 2x applies to a **single day**. Held longer, the daily reset makes the period return drift from 2x the index: if the index chops up and down and returns to where it started, this fund is still down. That is volatility decay.
It bites hardest in sideways markets and compounds with holding time. These are built for short directional trades.
How concentrated is it
Concentration (HHI) sits at 1000 — moderate. The top 10 names carry 100.0% of equity weight, so the fund is spread out but its largest holdings still steer it.
That is the usual shape of a cap-weighted index fund: broad, yet tilted toward the biggest companies.
HHI squares each weight and sums them: 10,000 means one stock is everything, and the more evenly spread the holdings, the closer it falls to zero.
Where the sector weight sits
By sector, Financials alone is 100% — whatever the fund is called, this is a bet on that industry.
Bad news for the sector moves the whole fund. Worth checking against anything else you hold in the same space.
Weights above sum the individually listed equities and normalize that equity total to 100%.
How much it overlaps others
Its closest neighbour is BNKU at 100% overlap — effectively the same basket.
Holding both is not diversification, it is buying the same companies twice. Pick whichever is cheaper.
This page is not investment advice. Investment decisions and responsibility are your own.
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