PortfolioMetrics

VXF vs. DFAC - ETF Comparison

VXF - Vanguard Extended Market ETF

The Vanguard Extended Market ETF provides diversified exposure to mid and small-cap US stocks, offering a balanced portfolio of over 1,000 individual securities. With a low expense ratio, it's an attractive option for long-term investors seeking to minimize costs.

DFAC - Dimensional U.S. Core Equity 2 ETF

The Dimensional U.S. Core Equity 2 ETF is an actively managed fund that provides broad exposure to the US equity market, investing in a diversified portfolio of stocks across various market capitalizations. The fund aims to deliver long-term capital growth by employing a proprietary weighting scheme.

VXFDFAC
Fund NameVanguard Extended Market ETFDimensional U.S. Core Equity 2 ETF
Fund ProviderVanguardDimensional
IndexS&P Completion IndexActive (No Index)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.06%0.17%
Inception Date2001-12-272021-06-14
Number Of Holdings35162682
RegionUnited StatesUnited States
Investment StyleBlendBlend
Market CapBlendBlend
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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