PortfolioMetrics

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.

FBLXLC
Fund NameGraniteShares 2x Long META Daily ETFCommunication Services Select Sector SPDR Fund
Fund ProviderGraniteSharesState Street
IndexActive (No Index)S&P Communication Services Select Sector Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio1.15%0.09%
Inception Date2022-12-132018-06-18
Number Of Holdings323
CurrencyUSDUSD
RegionUnited StatesUnited States
Market CapLarge-CapLarge-Cap
SectorCommunication ServicesCommunication Services
LeveragedLeveragedNon-leveraged
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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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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

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End of Year Returns Table

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End of Year Returns

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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

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Drawdowns Table

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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.

Monte Carlo Metrics

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Simulated Portfolio Prices

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