AGQ vs. UCO - ETF Comparison
AGQ - ProShares Ultra Silver
The ProShares Ultra Silver ETF provides 2x daily long leverage to the price of silver, offering a powerful tool for sophisticated investors with a bullish short-term outlook for the precious metal. It is designed for traders who want to magnify their potential gains, but investors should be aware that the fund's leverage resets daily, resulting in compounding of returns when held for multiple periods.
UCO - ProShares Ultra Bloomberg Crude Oil
The ProShares Ultra Bloomberg Crude Oil ETF provides 2x daily leverage to the Bloomberg Commodity Balanced WTI Crude Oil Index, allowing investors to express a bullish outlook on energy prices. This fund is suitable for sophisticated investors with a high risk tolerance and the ability to regularly monitor their position.
| AGQ | UCO | |
|---|---|---|
| Fund Name | ProShares Ultra Silver | ProShares Ultra Bloomberg Crude Oil |
| Fund Provider | Proshare Advisors LLC | Proshare Advisors LLC |
| Index | Bloomberg Silver (-200%) | Bloomberg Commodity Balanced WTI Crude Oil Index (-200%) |
| Asset Class | Commodity | Commodity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 1.43% |
| Inception Date | 2008-12-01 | 2008-11-25 |
| Number Of Holdings | 1 | 1 |
| Region | Global | Global |
| 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.