DBMF vs. QAI - 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.
QAI - IQ Hedge Multi-Strategy Tracker ETF
The IQ Hedge Multi-Strategy Tracker ETF is an alternative investment fund that seeks to replicate the returns of various hedge fund strategies, aiming to provide absolute returns and low correlations to traditional stock and bond markets. It employs a quantitative methodology to deliver a diversified portfolio, suitable for investors seeking to reduce overall portfolio volatility and access alternative investment strategies.
| DBMF | QAI | |
|---|---|---|
| Fund Name | iMGP DBi Managed Futures Strategy ETF | IQ Hedge Multi-Strategy Tracker ETF |
| Fund Provider | iM Global Partner US LLC | New York Life |
| Index | Active (No Index) | IQ Hedge Multi-Strategy Index |
| Asset Class | Alternatives | Alternatives |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.85% | 0.78% |
| Inception Date | 2019-05-08 | 2009-03-25 |
| Number Of Holdings | 3 | 48 |
| Currency | USD | USD |
| Region | United States | Developed Markets |
| Investment Style | Active | Blend |
| 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.