PortfolioMetrics

D100 vs. B8TT - ETF Comparison

D100 - Amundi FTSE 100 UCITS ETF Dist

The Amundi FTSE 100 UCITS ETF Dist is an equity exchange-traded fund that tracks the FTSE 100 index, comprising the 100 largest UK stocks. The fund aims to provide long-term capital growth by replicating the performance of the underlying index synthetically with a swap. It distributes dividends annually and has a total expense ratio of 0.14% p.a.

B8TT - Amundi FTSE 100 UCITS ETF Acc

The Amundi FTSE 100 UCITS ETF Acc is an exchange-traded fund that tracks the FTSE 100 index, providing exposure to the 100 largest UK stocks. With a low expense ratio of 0.14%, this fund offers a cost-effective way to invest in the UK equity market.

D100B8TT
Fund NameAmundi FTSE 100 UCITS ETF DistAmundi FTSE 100 UCITS ETF Acc
Fund ProviderAmundiAmundi
IndexFTSE 100FTSE 100
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.14%0.14%
Inception Date2014-04-152007-04-02
CurrencyGBPGBP
Distribution PolicyDistributingAccumulating
RegionUnited KingdomUnited Kingdom
Market CapLarge-CapLarge-Cap
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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