PortfolioMetrics

QDVF vs. XDW0 - ETF Comparison

QDVF - iShares S&P 500 Energy Sector UCITS ETF (Acc)

The iShares S&P 500 Energy Sector UCITS ETF (Acc) is an equity fund that tracks the S&P 500 Capped 35/20 Energy index, providing exposure to the US energy sector. The fund uses a full replication strategy to track the performance of the underlying index, with a total expense ratio of 0.15% p.a.. The ETF distributes dividends on an accumulating basis and has a large asset base of 901 million USD.

XDW0 - Xtrackers MSCI World Energy UCITS ETF 1C

The Xtrackers MSCI World Energy UCITS ETF 1C is an exchange-traded fund that tracks the MSCI World Energy index, providing exposure to the energy sector of developed markets worldwide. The fund employs a sampling technique to replicate the performance of the underlying index and has a total expense ratio of 0.25% per annum. The ETF distributes dividends by accumulating and reinvesting them, and has a large asset base of approximately 995 million euros.

QDVFXDW0
Fund NameiShares S&P 500 Energy Sector UCITS ETF (Acc)Xtrackers MSCI World Energy UCITS ETF 1C
Fund ProviderBlackRockDeutsche Bank
IndexS&P 500 Capped 35/20 EnergyMSCI World Energy
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.15%0.25%
Inception Date2015-11-202016-03-09
Number Of Holdings2257
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
RegionUnited StatesGlobal
SectorEnergyEnergy
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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