PortfolioMetrics

XDWI vs. BATE - ETF Comparison

XDWI - Xtrackers MSCI World Industrials UCITS ETF 1C

The Xtrackers MSCI World Industrials UCITS ETF 1C is an equity fund that tracks the MSCI World Industrials index, providing exposure to the Industrials sector of developed markets worldwide. The fund uses a long-only strategy and full replication to track the underlying index, with a total expense ratio of 0.25% per annum. The fund distributes dividends by accumulating and reinvesting them, and has a fund size of approximately 414 million USD.

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.

XDWIBATE
Fund NameXtrackers MSCI World Industrials UCITS ETF 1CL&G Battery Value-Chain UCITS ETF
Fund ProviderDeutsche BankLegal & General
IndexMSCI World IndustrialsSolactive Battery Value-Chain
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.25%0.49%
Inception Date2016-03-142018-01-23
Number Of Holdings26634
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
RegionGlobalGlobal
SectorIndustrialsIndustrials
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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