PortfolioMetrics

ETLH vs. ESIC - ETF Comparison

ETLH - L&G Ecommerce Logistics UCITS ETF

The L&G Ecommerce Logistics UCITS ETF is an exchange-traded fund that tracks the Solactive eCommerce Logistics index, providing investors with exposure to companies active in the e-commerce sector. The fund has a total expense ratio of 0.49% and uses a full replication strategy to track the underlying index. The ETF is domiciled in Ireland and has approximately 129 million euros in assets under management.

ESIC - iShares MSCI Europe Consumer Discretionary Sector UCITS ETF EUR (Acc)

The iShares MSCI Europe Consumer Discretionary Sector UCITS ETF EUR (Acc) is an equity fund that tracks the MSCI Europe Consumer Discretionary 20/35 Capped index, providing exposure to large and mid-cap European companies from the consumer discretionary sector. The fund has a low expense ratio of 0.18% and uses a full replication strategy to track the underlying index.

ETLHESIC
Fund NameL&G Ecommerce Logistics UCITS ETFiShares MSCI Europe Consumer Discretionary Sector UCITS ETF EUR (Acc)
Fund ProviderLegal & GeneralBlackRock
IndexSolactive eCommerce LogisticsMSCI Europe Consumer Discretionary 20/35 Capped
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.49%0.18%
Inception Date2018-01-172020-11-17
Number Of Holdings4350
CurrencyUSDEUR
Distribution PolicyAccumulatingAccumulating
RegionGlobalEurope
SectorConsumer DiscretionaryConsumer Discretionary
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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