PDBC vs. USO - ETF Comparison
PDBC - Invesco Optimum Yield Diversified Commodity Strategy No K-1 ETF
The Invesco Optimum Yield Diversified Commodity Strategy No K-1 ETF is an actively managed exchange-traded fund that provides diversified exposure to commodity futures, aiming to avoid negative roll yield and offering a tax-efficient solution without the need for a K-1 form.
USO - United States Oil Fund LP
The United States Oil Fund LP is an exchange-traded fund that tracks the price of light sweet crude oil, providing investors with a way to gain exposure to the energy market. The fund's laddered strategy aims to mitigate the effects of contango, making it suitable for short-term traders seeking to capitalize on oil price movements.
| PDBC | USO | |
|---|---|---|
| Fund Name | Invesco Optimum Yield Diversified Commodity Strategy No K-1 ETF | United States Oil Fund LP |
| Fund Provider | Invesco | Marygold |
| Index | Active (No Index) | Front Month Light Sweet Crude Oil |
| Asset Class | Commodity | Commodity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.59% | 0.60% |
| Inception Date | 2014-11-07 | 2006-04-10 |
| Number Of Holdings | 5 | 1 |
| Currency | USD | USD |
| Region | Global | United States |
| Leveraged | Non-leveraged | Non-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.