MicroSectors FANG+ Index -2X Inverse Leveraged ETN (FNGZ) ETF Holdings & Analysis
ETFOther
What FNGZ does
This Exchange Traded Note (ETN), issued as a senior, unsecured medium-term note by Bank of Montreal, is designed to deliver daily investment results that correspond to two times the inverse performance of the NYSE Fang+™ Index. The ETN's value is structured to move inversely to the index's performance each day, at double the rate, with returns compounded daily. This return is net of a Daily Investor Fee, any negative Daily Interest, and a potential Redemption Fee Amount. The underlying NYSE Fang+™ Index is an equally-weighted benchmark composed of highly liquid growth stocks from technology and tech-enabled companies within the technology and consumer discretionary sectors.
Fund profile
Sector allocation
| Communication Services | 50.00% |
| Consumer Cyclical | 30.00% |
| Technology | 20.00% |
PortView Portfolio Insights
PortView analyzes how FNGZ fits your actual portfolio — position weight, ETF overlap with your other funds, sector and geographic exposure, concentration, and how this fund contributes to your portfolio risk and return. Connect a portfolio to see your personalized figures; PortView never shows another user's private holdings.
Analyze FNGZ in PortView →Related securities
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Frequently asked questions
- What does FNGZ track?
- FNGZ is the MicroSectors FANG+ Index -2X Inverse Leveraged ETN, a Other ETF.
- What is the expense ratio of FNGZ?
- Expense ratio data for FNGZ is shown on the page when available from our data provider.
- What are the largest holdings in FNGZ?
- FNGZ's top holdings are listed on this page when available.
- How can PortView analyze FNGZ overlap with other ETFs?
- PortView computes the holdings overlap between FNGZ and the other ETFs and stocks you own, plus your combined sector and geographic exposure, so you can see true diversification.
The information provided by PortView is for informational and educational purposes only and does not constitute investment advice. Market data may be delayed. Past performance does not guarantee future results.