FNGD vs. MAGQ - ETF Comparison
FNGD - MicroSectors FANG+™ Index -3X Inverse Leveraged ETN
The MicroSectors FANG+ Index -3X Inverse Leveraged ETN is an exchange-traded note that seeks to provide -3 times the daily performance of the NYSE FANG+ Index, which tracks the performance of highly traded technology and consumer discretionary stocks in the US. This inverse leveraged ETN is designed for investors who seek to profit from potential declines in the US big tech sector.
MAGQ - Roundhill Daily Inverse Magnificent Seven ETF
The Roundhill Daily Inverse Magnificent Seven ETF is an actively managed fund that provides inverse exposure to the US Big Tech sector, allowing investors to potentially benefit from declines in the sector. The fund's proprietary weighting scheme and active management aim to provide a unique investment opportunity.
| FNGD | MAGQ | |
|---|---|---|
| Fund Name | MicroSectors FANG+™ Index -3X Inverse Leveraged ETN | Roundhill Daily Inverse Magnificent Seven ETF |
| Fund Provider | BMO Financial Group | Roundhill Investments |
| Index | NYSE FANG+ Index (-300%) | Active (No Index) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 0.95% |
| Inception Date | 2018-01-22 | 2024-02-29 |
| Number Of Holdings | 11 | 3 |
| Currency | USD | USD |
| Region | United States | United States |
| Market Cap | Blend | Large-Cap |
| Sector | Technology | Technology |
| Sector Detail | Big Tech | Big Tech |
| Leveraged | Leveraged | Inverse |
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Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Performance Analysis
The performance analysis examines historical data to assess the returns of the investment strategy, including key metrics such as Cumulative returns, End of Year (EoY) returns, and risk-adjusted returns like the Sharpe ratio or the Sortino ratio.
Cumulative Returns
End of Year Returns Table
End of Year Returns
Risk Analysis
The risk analysis refers to an assessment of potential negative events that could lead to a loss of capital. Conducting a risk analysis can help in deciding whether an investment should be made. This is done using risk metrics such as drawdowns, volatility and beta which reflect stakeholders' confidence in the consistency of an investment strategy.
Drawdowns
Drawdowns Table
Monte Carlo Simulation
The Monte Carlo simulation is a statistical method used to forecast portfolio returns by generating a wide range of potential outcomes through random sampling from historical asset price data. It helps investors assess the potential risk and return of a portfolio under various market conditions. The simulation takes into account the initial investment and optionally simulates cash flow scenarios like fixed contributions, fixed withdrawals, or percentage withdrawals.
IMPORTANT: The forecast generated through Monte Carlo simulations is purely hypothetical and does not guarantee future returns. Investment decisions should be made with consideration of various factors, and past performance is not indicative of future results.