PortfolioMetrics

UIMA vs. H4ZE - ETF Comparison

UIMA - UBS ETF (LU) MSCI Europe UCITS ETF (EUR) A-dis

The UBS ETF (LU) MSCI Europe UCITS ETF (EUR) A-dis is an equity fund that tracks the MSCI Europe index, providing exposure to leading stocks from 15 European industrial countries. The fund offers a cost-effective solution with a low expense ratio of 0.10% p.a. and distributes dividends semi-annually.

H4ZE - HSBC MSCI Europe UCITS ETF EUR

The HSBC MSCI Europe UCITS ETF EUR is an exchange-traded fund that tracks the MSCI Europe index, providing exposure to leading stocks from 15 European industrial countries. With a low expense ratio of 0.10% p.a., it is a cost-effective way to invest in European equities.

UIMAH4ZE
Fund NameUBS ETF (LU) MSCI Europe UCITS ETF (EUR) A-disHSBC MSCI Europe UCITS ETF EUR
Fund ProviderUBSHSBC
IndexMSCI EuropeMSCI Europe
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.1%0.1%
Inception Date2009-10-052010-06-01
Number Of Holdings423420
CurrencyEUREUR
Distribution PolicyDistributingDistributing
RegionEuropeEurope
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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