PortfolioMetrics

18MF vs. DXS3 - ETF Comparison

18MF - Amundi ETF Leveraged MSCI USA Daily UCITS ETF EUR

The Amundi ETF Leveraged MSCI USA Daily UCITS ETF EUR is an exchange-traded fund that seeks to provide investors with a leveraged exposure to the US equity market. The fund tracks the MSCI USA Leverage (2x) index, which aims to deliver two times the daily performance of the MSCI USA index, comprising around 600 leading US stocks. With a total expense ratio of 0.50% per annum, the ETF uses a synthetic replication method with a swap to track the underlying index. The fund distributes dividends by accumulating and reinvesting them, and is domiciled in France.

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.

18MFDXS3
Fund NameAmundi ETF Leveraged MSCI USA Daily UCITS ETF EURXtrackers S&P 500 Inverse Daily Swap UCITS ETF 1C
Fund ProviderAmundiDeutsche Bank
IndexMSCI USA Leverage (2x)S&P 500® Short
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.5%0.5%
Inception Date2009-06-162008-01-15
CurrencyEURUSD
Distribution PolicyAccumulatingAccumulating
RegionUnited StatesUnited 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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