QLD vs. SSO - ETF Comparison
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.
SSO - ProShares Ultra S&P 500
The ProShares Ultra S&P 500 ETF provides 2x daily long leverage to the S&P 500 Index, making it a suitable option for sophisticated investors with a bullish short-term outlook for large-cap US equities. It is not recommended for investors with a low risk tolerance or a buy-and-hold strategy.
| QLD | SSO | |
|---|---|---|
| Fund Name | ProShares Ultra QQQ | ProShares Ultra S&P 500 |
| Fund Provider | Proshare Advisors LLC | Proshare Advisors LLC |
| Index | NASDAQ-100 Index (-200%) | S&P 500 Index (200%) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 0.91% |
| Inception Date | 2006-06-19 | 2006-06-19 |
| Number Of Holdings | 106 | 510 |
| Region | United States | United States |
| Investment Style | Growth | Blend |
| Market Cap | Large-Cap | Large-Cap |
| Leveraged | Leveraged | Leveraged |
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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.