PortfolioMetrics

XSX7 vs. ETSZ - ETF Comparison

XSX7 - Xtrackers Stoxx Europe 600 UCITS ETF 1D

The Xtrackers Stoxx Europe 600 UCITS ETF 1D is an equity fund that tracks the STOXX Europe 600 index, comprising the 600 largest European companies. With a low expense ratio of 0.07%, it is a cost-effective way to gain exposure to the European market. The fund distributes dividends quarterly and has a long-only strategy, aiming to replicate the performance of the underlying index through full replication.

ETSZ - BNP Paribas Easy STOXX Europe 600 UCITS ETF

The BNP Paribas Easy STOXX Europe 600 UCITS ETF is an exchange-traded fund that tracks the STOXX Europe 600 index, which comprises the 600 largest European companies. The fund uses a synthetic replication method with a swap and has a total expense ratio of 0.20% per annum. The ETF accumulates and reinvests dividends, and it is domiciled in France with assets under management of approximately €710 million.

XSX7ETSZ
Fund NameXtrackers Stoxx Europe 600 UCITS ETF 1DBNP Paribas Easy STOXX Europe 600 UCITS ETF
Fund ProviderDeutsche BankBNP Paribas
IndexSTOXX Europe 600STOXX Europe 600
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.07%0.2%
Inception Date2023-03-082013-09-16
CurrencyEUREUR
Distribution PolicyDistributingAccumulating
RegionEuropeEurope
Market CapBlendBlend
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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