PortfolioMetrics

VUSA vs. VWCE - ETF Comparison

VUSA - Vanguard S&P 500 UCITS ETF

The Vanguard S&P 500 UCITS ETF is an equity fund that tracks the S&P 500 index, which consists of the 500 largest US stocks. The fund aims to provide long-term capital growth by replicating the performance of the underlying index through full replication. It distributes dividends quarterly and has a low expense ratio of 0.07% p.a.

VWCE - Vanguard FTSE All-World UCITS ETF (USD) Accumulating

The Vanguard FTSE All-World UCITS ETF (USD) Accumulating is a large-cap equity fund that tracks the FTSE All-World index, providing broad exposure to developed and emerging markets worldwide. The fund uses a sampling technique to replicate the performance of the underlying index, accumulating and reinvesting dividends. With a low expense ratio of 0.22%, this fund offers a cost-effective way to invest in a diversified portfolio of global equities.

VUSAVWCE
Fund NameVanguard S&P 500 UCITS ETFVanguard FTSE All-World UCITS ETF (USD) Accumulating
Fund ProviderVanguardVanguard
IndexS&P 500FTSE All-World
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.07%0.22%
Inception Date2012-05-222019-07-23
Number Of Holdings4953639
CurrencyUSDUSD
Distribution PolicyDistributingAccumulating
RegionUnited StatesGlobal
Investment StyleBlendBlend
Market CapLarge-CapBlend
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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