PortfolioMetrics

CIBR vs. IHAK - ETF Comparison

CIBR - First Trust NASDAQ Cybersecurity ETF

The First Trust NASDAQ Cybersecurity ETF (CIBR) provides targeted exposure to the cybersecurity segment of the technology and industrial sectors. The fund tracks an index of companies engaged in cybersecurity, with a minimum market cap of $250 million and a minimum free-float of 20%. The portfolio is weighted based on liquidity and includes familiar names like Cisco Systems, Akamai, and NortonLifeLock.

IHAK - iShares Cybersecurity & Tech ETF

The iShares Cybersecurity & Tech ETF is an exchange-traded fund that tracks the NYSE FactSet Global Cyber Security Index, providing investors with exposure to companies involved in the cybersecurity industry. The fund is managed by BlackRock and has a diversified portfolio of 36 holdings, with a total fund size of $813.1 million.

CIBRIHAK
Fund NameFirst Trust NASDAQ Cybersecurity ETFiShares Cybersecurity & Tech ETF
Fund ProviderFirst TrustBlackRock
IndexNasdaq CTA Cybersecurity IndexNYSE FactSet Global Cyber Security Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.59%0.47%
Inception Date2015-07-072019-06-11
Number Of Holdings3136
RegionUnited StatesUnited States
Investment StyleGrowthBlend
Market CapBlendBlend
SectorTechnologyTechnology
Sector DetailCybersecurityCybersecurity
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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