PDBC vs. SPHQ - 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.
SPHQ - Invesco S&P 500® Quality ETF
The Invesco S&P 500 Quality ETF is an equity fund that tracks the S&P 500 Quality Index, focusing on large-cap US stocks with a history of stable earnings and dividends. The fund aims to provide a lower-volatility alternative to traditional S&P 500 index funds, but with a higher expense ratio. It is suitable for investors seeking long-term growth and stability, but may not be ideal for those prioritizing low fees.
| PDBC | SPHQ | |
|---|---|---|
| Fund Name | Invesco Optimum Yield Diversified Commodity Strategy No K-1 ETF | Invesco S&P 500® Quality ETF |
| Fund Provider | Invesco | Invesco |
| Index | Active (No Index) | S&P 500 Quality |
| Asset Class | Commodity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.59% | 0.15% |
| Inception Date | 2014-11-07 | 2005-12-06 |
| Number Of Holdings | 5 | 102 |
| 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.