KMLM vs. BTAL - ETF Comparison
KMLM - KFA Mount Lucas Managed Futures Index Strategy ETF
The KFA Mount Lucas Managed Futures Index Strategy ETF is an alternative investment fund that employs a global macro strategy, focusing on managed futures. The fund's equal weighting scheme aims to provide diversified exposure to various markets, with a focus on absolute returns.
BTAL - AGF U.S. Market Neutral Anti-Beta Fund
The AGF U.S. Market Neutral Anti-Beta Fund is an alternative ETF that employs a long/short strategy to capture the spread return between high beta and low beta stocks in the U.S. equity market. The fund maintains a sector-neutral portfolio with equal weighted long and short positions in each sector, aiming to provide a low-correlation diversification tool for investors. It can be used to smooth out portfolio volatility or as a means of generating alpha over long and short time periods.
| KMLM | BTAL | |
|---|---|---|
| Fund Name | KFA Mount Lucas Managed Futures Index Strategy ETF | AGF U.S. Market Neutral Anti-Beta Fund |
| Fund Provider | CICC | AGF |
| Index | Active (No Index) | Active (No Index) |
| Asset Class | Alternatives | Alternatives |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.90% | 1.43% |
| Inception Date | 2020-12-02 | 2011-09-13 |
| Number Of Holdings | 7 | 401 |
| Currency | USD | USD |
| Region | Global | United States |
| 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.