FBL vs. XLC - ETF Comparison
FBL - GraniteShares 2x Long META Daily ETF
The GraniteShares 2x Long META Daily ETF is a leveraged equity fund that seeks to provide 2x daily exposure to the performance of META, a large-cap company in the Communication Services sector. The fund is actively managed and has a focus on Interactive Media & Services.
XLC - Communication Services Select Sector SPDR Fund
The Communication Services Select Sector SPDR Fund is an equity ETF that provides broad-based exposure to companies in the communication services sector, including social media giants and technology companies. The fund tracks the S&P Communication Services Select Sector Index and is designed to provide investors with a diversified portfolio of large-cap companies in the US communication services sector.
FBL | XLC | |
---|---|---|
Fund Name | GraniteShares 2x Long META Daily ETF | Communication Services Select Sector SPDR Fund |
Fund Provider | GraniteShares | State Street |
Index | Active (No Index) | S&P Communication Services Select Sector Index |
Asset Class | Equity | Equity |
Listing | US-listed | US-listed |
Expense Ratio | 1.15% | 0.09% |
Inception Date | 2022-12-13 | 2018-06-18 |
Number Of Holdings | 3 | 23 |
Currency | USD | USD |
Region | United States | United States |
Market Cap | Large-Cap | Large-Cap |
Sector | Communication Services | Communication Services |
Leveraged | 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.