PortfolioMetrics

VONV vs. FPE - ETF Comparison

VONV - Vanguard Russell 1000 Value ETF

The Vanguard Russell 1000 Value ETF provides exposure to large-cap companies that exhibit value characteristics within the U.S. equity market. It tracks the Russell 1000 Value Index, offering a diversified portfolio of approximately 650 holdings, with a focus on financials, energy, and healthcare sectors. This fund is suitable for investors seeking long-term growth and stability, with a blend of value and dividend-paying stocks.

FPE - First Trust Preferred Securities & Income ETF

The First Trust Preferred Securities & Income ETF is an actively managed exchange-traded fund that invests in a diversified portfolio of preferred securities and income-generating assets, primarily in the United States. The fund aims to provide investors with a regular income stream and capital appreciation.

VONVFPE
Fund NameVanguard Russell 1000 Value ETFFirst Trust Preferred Securities & Income ETF
Fund ProviderVanguardFirst Trust
IndexRussell 1000 Value IndexActive (No Index)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.08%0.85%
Inception Date2010-09-202013-02-11
Number Of Holdings847244
CurrencyUSDUSD
RegionUnited StatesUnited States
Investment StyleBlendBlend
Market CapLarge-CapBlend
SectorFinancialsFinancials
Sector DetailBanksBanks
LeveragedNon-leveragedNon-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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