PRF vs. PDBC - ETF Comparison
PRF - Invesco FTSE RAFI US 1000 ETF
The Invesco FTSE RAFI US 1000 ETF provides exposure to the largest US equities, using a fundamental weighting methodology based on book value, cash flow, sales, and dividends. This alternative approach breaks the link between stock price and security allocation, offering a unique risk/return profile compared to traditional market capitalization-weighted indices. The fund features a broad-based portfolio with significant allocations to financials and industrials/energy sectors.
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.
| PRF | PDBC | |
|---|---|---|
| Fund Name | Invesco FTSE RAFI US 1000 ETF | Invesco Optimum Yield Diversified Commodity Strategy No K-1 ETF |
| Fund Provider | Invesco | Invesco |
| Index | FTSE RAFI US 1000 Index | Active (No Index) |
| Asset Class | Equity | Commodity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.39% | 0.59% |
| Inception Date | 2005-12-19 | 2014-11-07 |
| Number Of Holdings | 1009 | 5 |
| Currency | USD | USD |
| Region | United States | Global |
| 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.