PortfolioMetrics

CBEU vs. SKYE - ETF Comparison

CBEU - First Trust Nasdaq Cybersecurity UCITS ETF EUR Hedged Acc

The First Trust Nasdaq Cybersecurity UCITS ETF EUR Hedged Acc is an equity ETF that tracks the Nasdaq CTA Cybersecurity (EUR Hedged) index, providing exposure to companies involved in cybersecurity technology and services. The fund is currency hedged to Euro (EUR) and has a total expense ratio of 0.60% p.a..

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.

CBEUSKYE
Fund NameFirst Trust Nasdaq Cybersecurity UCITS ETF EUR Hedged AccFirst Trust Cloud Computing UCITS ETF Acc
Fund ProviderFirst TrustFirst Trust
IndexNasdaq CTA Cybersecurity (EUR Hedged)ISE Cloud Computing
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.6%0.6%
Inception Date2023-07-182018-12-27
Number Of Holdings2865
CurrencyEURUSD
Distribution PolicyAccumulatingAccumulating
RegionGlobalGlobal
SectorTechnologyTechnology
Sector DetailCybersecurityCloud Computing
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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