PortfolioMetrics

ACM9 vs. VGVF - ETF Comparison

ACM9 - Amundi ETF MSCI World ex EMU UCITS ETF EUR (C)

The Amundi ETF MSCI World ex EMU UCITS ETF EUR (C) is an exchange-traded fund that tracks the MSCI World ex EMU index, providing investors with exposure to developed markets outside of the European Monetary Union. The fund uses a synthetic replication method and has a total expense ratio of 0.35% per annum. It is a large-cap fund with a long-only strategy and does not distribute dividends, instead reinvesting them in the fund.

VGVF - Vanguard FTSE Developed World UCITS ETF Acc

The Vanguard FTSE Developed World UCITS ETF Acc is an equity fund that tracks the FTSE Developed index, providing exposure to large-cap stocks in developed markets worldwide. The fund uses a sampling technique to replicate the performance of the underlying index and has a low expense ratio of 0.12%. The ETF distributes dividends by accumulating and reinvesting them, and has a large asset base of over 2.6 billion USD.

ACM9VGVF
Fund NameAmundi ETF MSCI World ex EMU UCITS ETF EUR (C)Vanguard FTSE Developed World UCITS ETF Acc
Fund ProviderAmundiVanguard
IndexMSCI World ex EMUFTSE Developed
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.35%0.12%
Inception Date2009-06-292019-09-24
CurrencyEURUSD
Distribution PolicyAccumulatingAccumulating
RegionDeveloped MarketsDeveloped Markets
Investment StyleBlendBlend
Market CapLarge-CapLarge-Cap
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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