PortfolioMetrics

LSK7 vs. DXS3 - ETF Comparison

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.

DXS3 - Xtrackers S&P 500 Inverse Daily Swap UCITS ETF 1C

The Xtrackers S&P 500 Inverse Daily Swap UCITS ETF 1C is an exchange-traded fund that seeks to provide inverse daily exposure to the S&P 500 index, which tracks the largest US stocks. The fund uses a synthetic replication method with a swap and has an expense ratio of 0.5%. It is an accumulating fund, meaning dividends are reinvested in the ETF.

LSK7DXS3
Fund NameAmundi EURO STOXX 50 Daily (-1x) Inverse UCITS ETF AccXtrackers S&P 500 Inverse Daily Swap UCITS ETF 1C
Fund ProviderAmundiDeutsche Bank
IndexEURO STOXX® 50 ShortS&P 500® Short
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.4%0.5%
Inception Date2007-04-032008-01-15
CurrencyEURUSD
Distribution PolicyAccumulatingAccumulating
RegionEuropeUnited States
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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