OMFL vs. QQQM - ETF Comparison
OMFL - Invesco Russell 1000 Dynamic Multifactor ETF
The Invesco Russell 1000 Dynamic Multifactor ETF is an equity fund that applies a proprietary index strategy to investing in large-cap U.S. companies. The fund uses a multi-factor approach to select and weight its holdings, considering factors such as company size, value, momentum, and balance sheet health. This approach aims to provide a diversified portfolio of hundreds of U.S. equities, with a focus on mid-cap stocks. The fund is suitable for investors seeking a core portfolio allocation with a factor-based approach.
QQQM - Invesco NASDAQ 100 ETF
The Invesco NASDAQ 100 ETF tracks the top 100 largest non-financial companies listed on the Nasdaq, providing investors with exposure to large-cap growth equities in the United States. The fund is designed for buy-and-hold investors, offering a lower management fee and smaller share price compared to its counterpart, the QQQ Trust.
| OMFL | QQQM | |
|---|---|---|
| Fund Name | Invesco Russell 1000 Dynamic Multifactor ETF | Invesco NASDAQ 100 ETF |
| Fund Provider | Invesco | Invesco |
| Index | Russell 1000 Invesco Dynamic Multifactor Index | Nasdaq 100 |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.29% | 0.15% |
| Inception Date | 2017-11-08 | 2020-10-13 |
| Number Of Holdings | 249 | 104 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Blend | Blend |
| Market Cap | Mid-Cap | Large-Cap |
| 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.