PortfolioMetrics

TNA vs. PFFA - ETF Comparison

TNA - Direxion Daily Small Cap Bull 3X Shares

The Direxion Daily Small Cap Bull 3X Shares ETF provides 3x daily long leverage to the Russell 2000 Index, offering a powerful tool for sophisticated investors with a bullish short-term outlook for small cap equities in the United States.

PFFA - Virtus InfraCap U.S. Preferred Stock ETF

The Virtus InfraCap U.S. Preferred Stock ETF is an actively managed exchange-traded fund that invests in a diversified portfolio of preferred stocks and convertible bonds issued by U.S. corporations, aiming to provide income and capital appreciation.

TNAPFFA
Fund NameDirexion Daily Small Cap Bull 3X SharesVirtus InfraCap U.S. Preferred Stock ETF
Fund ProviderRafferty Asset ManagementVirtus Investment Partners
IndexRussell 2000 Index (300%)Active (No Index)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio1.08%2.52%
Inception Date2008-11-052018-05-15
Number Of Holdings2188
CurrencyUSDUSD
RegionUnited StatesUnited States
Investment StyleBlendBlend
Market CapMicro-CapMicro-Cap
LeveragedLeveragedLeveraged
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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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