ETF Comparison: QLD vs FNGU
ETF Descriptions
QLD - ProShares Ultra QQQ
The ProShares Ultra QQQ ETF provides 2x daily long leverage to the NASDAQ-100 Index, offering a powerful tool for sophisticated investors with a bullish short-term outlook for technology equities in the United States.
FNGU - MicroSectors FANG+™ Index 3X Leveraged ETN
The MicroSectors FANG+ Index 3X Leveraged ETN is an exchange-traded note that aims to triple the daily return of an index of FANG stocks, including Facebook, Amazon, Apple, Netflix, and Google-parent Alphabet Inc., as well as five other technology growth stocks. The fund offers highly concentrated exposure to these companies and is intended for short-term trading by sophisticated investors.
Comparison Table
| QLD | FNGU | |
|---|---|---|
| Fund Name | ProShares Ultra QQQ | MicroSectors FANG+™ Index 3X Leveraged ETN |
| Fund Provider | Proshare Advisors LLC | BMO Financial Group |
| Index | NASDAQ-100 Index (-200%) | NYSE FANG+ Index (+300%) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 0.95% |
| Inception Date | 2006-06-19 | 2018-01-22 |
| Number Of Holdings | 106 | 10 |
| Region | United States | United States |
| Investment Style | Growth | Blend |
| Market Cap | Large-Cap | Large-Cap |
| Sector | Technology | Technology |
| Leveraged | Leveraged | Leveraged |
Backtesting Options
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Performance Analysis
The performance analysis evaluates historical data to measure investment strategy returns through key metrics like Cumulative returns, End of Year (EoY) returns, and risk-adjusted measures such as the Sharpe ratio and Sortino ratio. This helps investors assess both absolute and relative performance across different market conditions.
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.