USD vs. SOXS - ETF Comparison
USD - ProShares Ultra Semiconductors
The ProShares Ultra Semiconductors ETF provides 2x daily long leverage to the Dow Jones U.S. Semiconductors Index, offering a powerful tool for sophisticated investors with a bullish short-term outlook for semiconductor equities in the United States.
SOXS - Direxion Daily Semiconductor Bear 3x Shares
The Direxion Daily Semiconductor Bear 3x Shares ETF provides 3x daily short leverage to the PHLX Semiconductor Index, making it a powerful tool for sophisticated investors with a bearish short-term outlook for semiconductor equities in the United States.
| USD | SOXS | |
|---|---|---|
| Fund Name | ProShares Ultra Semiconductors | Direxion Daily Semiconductor Bear 3x Shares |
| Fund Provider | Proshare Advisors LLC | Rafferty Asset Management |
| Index | Dow Jones U.S. Semiconductors Index (200%) | ICE Semiconductor Index (-300%) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 1.03% |
| Inception Date | 2007-01-30 | 2010-03-11 |
| Number Of Holdings | 37 | 1 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Growth | Growth |
| Market Cap | Large-Cap | Large-Cap |
| Sector | Technology | Technology |
| Sector Detail | Semiconductors | Semiconductors |
| 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.