PortfolioMetrics

AMEM vs. EMMUSC - ETF Comparison

AMEM - Amundi MSCI Emerging Markets UCITS ETF EUR (C)

The Amundi MSCI Emerging Markets UCITS ETF EUR (C) is an exchange-traded fund that tracks the MSCI Emerging Markets index, providing investors with exposure to emerging markets worldwide. The fund uses a synthetic replication method and has a low expense ratio of 0.20% p.a.. It is a large ETF with over 2,319 million euros in assets under management and has been listed since 2010.

EMMUSC - UBS ETF (LU) MSCI Emerging Markets UCITS ETF (USD) A-acc

The UBS ETF (LU) MSCI Emerging Markets UCITS ETF (USD) A-acc is an exchange-traded fund that tracks the MSCI Emerging Markets index, providing investors with exposure to emerging markets worldwide. The fund uses a sampling technique to replicate the performance of the underlying index and has a total expense ratio of 0.18% per annum. The ETF is a large fund with over 2,653 million euros in assets under management and is domiciled in Luxembourg.

AMEMEMMUSC
Fund NameAmundi MSCI Emerging Markets UCITS ETF EUR (C)UBS ETF (LU) MSCI Emerging Markets UCITS ETF (USD) A-acc
Fund ProviderAmundiUBS
IndexMSCI Emerging MarketsMSCI Emerging Markets
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.2%0.18%
Inception Date2010-11-302018-06-18
CurrencyEURUSD
Distribution PolicyAccumulatingAccumulating
RegionEmerging MarketsEmerging Markets
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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