PortfolioMetrics

BATE vs. DFEN - ETF Comparison

BATE - L&G Battery Value-Chain UCITS ETF

The L&G Battery Value-Chain UCITS ETF tracks the Solactive Battery Value-Chain index, investing in companies involved in the development and production of batteries, including raw material extraction. The fund has a total expense ratio of 0.49% and follows a long-only strategy, accumulating and reinvesting dividends.

DFEN - VanEck Defense UCITS ETF A

The VanEck Defense UCITS ETF A is an equity fund that tracks the MarketVector Global Defense Industry index, investing in companies worldwide engaged in the military or defense industry. The fund has a total expense ratio of 0.55% and uses a full replication strategy to track the underlying index. The ETF is domiciled in Ireland and has approximately 795 million euros in assets under management.

BATEDFEN
Fund NameL&G Battery Value-Chain UCITS ETFVanEck Defense UCITS ETF A
Fund ProviderLegal & GeneralVanEck
IndexSolactive Battery Value-ChainMarketVector Global Defense Industry
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.49%0.55%
Inception Date2018-01-232023-03-31
Number Of Holdings3428
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
RegionGlobalGlobal
Investment StyleBlendBlend
Market CapBlendBlend
SectorIndustrialsIndustrials
Sector DetailBatteriesDefense
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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