OMFL vs. SPLV - 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.
SPLV - Invesco S&P 500® Low Volatility ETF
The Invesco S&P 500 Low Volatility ETF is an equity fund that tracks the S&P 500 Low Volatility Index, providing exposure to large-cap stocks in the US market with a focus on low volatility. The fund invests in a diversified portfolio of established companies, often referred to as 'Blue Chips', which are less likely to experience significant price fluctuations. This makes it a suitable option for investors seeking stability and income generation, particularly in bear markets. However, it may underperform in bull markets and has a relatively high expense ratio.
| OMFL | SPLV | |
|---|---|---|
| Fund Name | Invesco Russell 1000 Dynamic Multifactor ETF | Invesco S&P 500® Low Volatility ETF |
| Fund Provider | Invesco | Invesco |
| Index | Russell 1000 Invesco Dynamic Multifactor Index | S&P 500 Low Volatility Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.29% | 0.25% |
| Inception Date | 2017-11-08 | 2011-05-05 |
| Number Of Holdings | 249 | 102 |
| 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.