PortfolioMetrics

SKYY vs. CLOD - ETF Comparison

SKYY - First Trust Cloud Computing ETF

The First Trust Cloud Computing ETF (SKYY) provides exposure to the cloud computing industry, a fast-growing segment of the technology sector. The fund tracks the ISE Cloud Computing Index, which includes companies involved in the cloud computing space, including pure play companies and larger firms that derive a portion of their revenues from cloud computing operations. SKYY can be used as a tactical tool for fine-tuning portfolio exposure or as a complementary holding in a longer-term buy-and-hold portfolio.

CLOD - Themes Cloud Computing ETF

The Themes Cloud Computing ETF is an equity fund that tracks the Solactive Cloud Technology Index, providing exposure to a diversified portfolio of 52 cloud computing-related stocks in developed markets. With a focus on the internet theme, the fund employs a market capitalization weighting scheme and has a growth investment style.

SKYYCLOD
Fund NameFirst Trust Cloud Computing ETFThemes Cloud Computing ETF
Fund ProviderFirst TrustThemes ETF
IndexISE Cloud Computing IndexSolactive Cloud Technology Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.60%0.35%
Inception Date2011-07-052023-12-15
Number Of Holdings6352
CurrencyUSDUSD
RegionUnited StatesDeveloped Markets
Investment StyleGrowthGrowth
Market CapBlendBlend
SectorTechnologyTechnology
Sector DetailCloud ComputingCloud 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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