PortfolioMetrics

ARKG vs. XBI - ETF Comparison

ARKG - ARK Genomic Revolution ETF

The ARK Genomic Revolution ETF is an actively managed fund that invests in companies driving advancements in genomics, gene editing, genetic therapy, molecular diagnostics, and stem cell advances. The fund's portfolio is tilted towards smaller firms and is designed to capture long-term growth potential in the healthcare and biotechnology sectors.

XBI - SPDR S&P Biotech ETF

The SPDR S&P Biotech ETF (XBI) provides exposure to the biotechnology sector in the United States, offering a diversified portfolio of mid-cap and small-cap securities. The fund tracks the S&P Biotechnology Select Industry Index, using an equal-weighted methodology to balance assets across all components. This ETF is suitable for investors seeking to fine-tune their exposure to the health care sector or those bullish on biotechnology over the long run.

ARKGXBI
Fund NameARK Genomic Revolution ETFSPDR S&P Biotech ETF
Fund ProviderARK InvestState Street
IndexActive (No Index)S&P Biotechnology Select Industry
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.75%0.35%
Inception Date2014-10-312006-01-31
Number Of Holdings42140
RegionUnited StatesUnited States
Investment StyleGrowthGrowth
Market CapBlendBlend
SectorHealthcareHealthcare
Sector DetailBiotechnologyBiotechnology
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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