PortfolioMetrics

SKYE vs. FTGE - ETF Comparison

SKYE - First Trust Cloud Computing UCITS ETF Acc

The First Trust Cloud Computing UCITS ETF Acc is an equity fund that tracks the ISE Cloud Computing index, providing exposure to companies involved in the cloud computing industry. The fund has a total expense ratio of 0.60% and uses a full replication strategy to track the underlying index. The fund is domiciled in Ireland and has approximately $344 million in assets under management.

FTGE - First Trust Eurozone AlphaDEX UCITS ETF Acc

The First Trust Eurozone AlphaDEX UCITS ETF Acc is an equity ETF that tracks the Nasdaq AlphaDEX Eurozone index, focusing on companies from the eurozone region. It employs a multi-factor strategy, considering growth and value factors, and replicates the performance of the underlying index through full replication. The ETF distributes dividends on an accumulating basis and has a total expense ratio of 0.65%.

SKYEFTGE
Fund NameFirst Trust Cloud Computing UCITS ETF AccFirst Trust Eurozone AlphaDEX UCITS ETF Acc
Fund ProviderFirst TrustFirst Trust
IndexISE Cloud ComputingNasdaq AlphaDEX® Eurozone
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.6%0.65%
Inception Date2018-12-272014-10-21
Number Of Holdings65150
CurrencyUSDEUR
Distribution PolicyAccumulatingAccumulating
RegionGlobalEurope
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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