PortfolioMetrics

LYP6 vs. GLDA - ETF Comparison

LYP6 - Amundi Stoxx Europe 600 UCITS ETF Acc

The Amundi Stoxx Europe 600 UCITS ETF Acc is a low-cost, large-cap equity ETF that tracks the STOXX Europe 600 index, providing exposure to the 600 largest European companies. It employs a full replication strategy and has a total expense ratio of 0.07% p.a.. The ETF distributes dividends by accumulating and reinvesting them, and has a large asset base of €7,908 million.

GLDA - Amundi Physical Gold ETC (C)

The Amundi Physical Gold ETC (C) tracks the spot price of gold in US Dollar, providing investors with a physical gold-backed collateralised debt obligation. With a low expense ratio of 0.12% p.a., this large ETC offers a cost-effective way to invest in precious metals, specifically gold.

LYP6GLDA
Fund NameAmundi Stoxx Europe 600 UCITS ETF AccAmundi Physical Gold ETC (C)
Fund ProviderAmundiAmundi
IndexSTOXX Europe 600Gold
Asset ClassEquityCommodity
ListingEU-listedEU-listed
Expense Ratio0.07%0.12%
Inception Date2013-04-032019-05-21
CurrencyEURUSD
Distribution PolicyAccumulatingAccumulating
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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