PortfolioMetrics

LYYA vs. LYP7 - ETF Comparison

LYYA - Amundi MSCI World II UCITS ETF Dist

The Amundi MSCI World II UCITS ETF Dist is a large, diversified equity fund that tracks the MSCI World index, providing exposure to developed markets worldwide. The fund uses a synthetic replication strategy and distributes dividends annually.

LYP7 - Amundi S&P 500 II UCITS ETF Acc

The Amundi S&P 500 II UCITS ETF Acc tracks the S&P 500 index, providing exposure to the 500 largest US stocks. With a low expense ratio of 0.05%, this ETF offers a cost-effective way to invest in the US equity market. The fund is accumulating, meaning dividends are reinvested in the ETF, and has a long-only strategy.

LYYALYP7
Fund NameAmundi MSCI World II UCITS ETF DistAmundi S&P 500 II UCITS ETF Acc
Fund ProviderAmundiAmundi
IndexMSCI WorldS&P 500
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.3%0.05%
Inception Date2006-04-262014-12-09
CurrencyEUREUR
Distribution PolicyDistributingAccumulating
RegionGlobalUnited States
Market CapBlendLarge-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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