PortfolioMetrics

LYMM vs. LSK7 - ETF Comparison

LYMM - Amundi CAC 40 Daily (-1x) Inverse UCITS ETF Acc

The Amundi CAC 40 Daily (-1x) Inverse UCITS ETF Acc is an exchange-traded fund that seeks to track the inverse performance of the CAC 40 index, which comprises the largest and most traded French stocks listed on Euronext in Paris. The fund uses a synthetic replication method with a swap and has an expense ratio of 0.4%. The ETF is domiciled in France and has a accumulating distribution policy.

LSK7 - Amundi EURO STOXX 50 Daily (-1x) Inverse UCITS ETF Acc

The Amundi EURO STOXX 50 Daily (-1x) Inverse UCITS ETF Acc is an exchange-traded fund that seeks to track the inverse performance of the EURO STOXX 50 index, which comprises the 50 largest companies in the eurozone. The fund uses a synthetic replication method with a swap and has an expense ratio of 0.4%. It is an accumulating fund, meaning that dividends are reinvested in the ETF. The fund is domiciled in France and has been available since 2007.

LYMMLSK7
Fund NameAmundi CAC 40 Daily (-1x) Inverse UCITS ETF AccAmundi EURO STOXX 50 Daily (-1x) Inverse UCITS ETF Acc
Fund ProviderAmundiAmundi
IndexCAC 40® ShortEURO STOXX® 50 Short
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.4%0.4%
Inception Date2008-06-092007-04-03
CurrencyEUREUR
Distribution PolicyAccumulatingAccumulating
RegionFranceEurope
LeveragedLeveragedLeveraged
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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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