PortfolioMetrics

EUNM vs. AMEM - ETF Comparison

EUNM - iShares MSCI EM UCITS ETF (Acc)

The iShares MSCI EM UCITS ETF (Acc) is an exchange-traded fund that tracks the MSCI Emerging Markets index, providing investors with exposure to stocks from 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 distributes no dividends and instead reinvests them, with a large asset base of over 3 billion USD.

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.

EUNMAMEM
Fund NameiShares MSCI EM UCITS ETF (Acc)Amundi MSCI Emerging Markets UCITS ETF EUR (C)
Fund ProviderBlackRockAmundi
IndexMSCI Emerging MarketsMSCI Emerging Markets
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.18%0.2%
Inception Date2009-09-252010-11-30
CurrencyUSDEUR
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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