DBMF vs. FTLS - ETF Comparison
DBMF - iMGP DBi Managed Futures Strategy ETF
The iMGP DBi Managed Futures Strategy ETF is an actively managed exchange-traded fund that seeks to provide investors with a diversified portfolio of managed futures strategies, focusing on global macro trends. The fund's proprietary weighting scheme aims to optimize returns while managing risk.
FTLS - First Trust Long/Short Equity ETF
The First Trust Long/Short Equity ETF is an actively managed exchange-traded fund that employs a long/short equity strategy to seek long-term capital appreciation. The fund invests in a diversified portfolio of US equities, aiming to generate returns through a combination of long and short positions.
| DBMF | FTLS | |
|---|---|---|
| Fund Name | iMGP DBi Managed Futures Strategy ETF | First Trust Long/Short Equity ETF |
| Fund Provider | iM Global Partner US LLC | First Trust |
| Index | Active (No Index) | Active (No Index) |
| Asset Class | Alternatives | Alternatives |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.85% | 1.46% |
| Inception Date | 2019-05-08 | 2014-09-09 |
| Number Of Holdings | 3 | 225 |
| Currency | USD | USD |
| Region | United States | United States |
| Leveraged | Non-leveraged | 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.