PortfolioMetrics

UIM9 vs. CAHEUA - ETF Comparison

UIM9 - UBS ETF (LU) MSCI Canada UCITS ETF (CAD) A-dis

The UBS ETF (LU) MSCI Canada UCITS ETF (CAD) A-dis is an equity fund that tracks the MSCI Canada index, providing exposure to the largest and most liquid Canadian stocks. With a low expense ratio of 0.33%, it is a cost-effective way to invest in the Canadian market. The fund distributes dividends semi-annually and has a large asset base of 783 million Euros.

CAHEUA - UBS ETF (LU) MSCI Canada UCITS ETF (hedged to EUR) A-acc

The UBS ETF (LU) MSCI Canada UCITS ETF (hedged to EUR) A-acc is an exchange-traded fund that tracks the MSCI Canada (EUR Hedged) index, providing investors with exposure to the largest and most liquid Canadian stocks. The fund is currency hedged to Euro (EUR) and has a total expense ratio of 0.36% p.a.. It uses a full replication strategy to track the underlying index and reinvests dividends. The fund is domiciled in Luxembourg and was launched on 27 February 2015.

UIM9CAHEUA
Fund NameUBS ETF (LU) MSCI Canada UCITS ETF (CAD) A-disUBS ETF (LU) MSCI Canada UCITS ETF (hedged to EUR) A-acc
Fund ProviderUBSUBS
IndexMSCI CanadaMSCI Canada (EUR Hedged)
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.33%0.36%
Inception Date2009-09-302015-02-27
Number Of Holdings8888
CurrencyCADEUR
Distribution PolicyDistributingAccumulating
RegionCanadaCanada
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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