PortfolioMetrics

IWF vs. QUAL - ETF Comparison

IWF - iShares Russell 1000 Growth ETF

The iShares Russell 1000 Growth ETF is an equity fund that tracks the Russell 1000 Growth Index, providing exposure to large-cap growth companies in the US equity market. The fund offers diversification benefits and potential for long-term capital appreciation, with a focus on technology, industrials, energy, and consumer goods sectors.

QUAL - iShares MSCI USA Quality Factor ETF

The iShares MSCI USA Quality Factor ETF is an equity fund that tracks the MSCI USA Sector Neutral Quality Index, focusing on large- and mid-cap US stocks with stable earnings growth and low debt-to-equity. The fund provides investors with a quality tilt on top of a core allocation to US markets, and can be used in conjunction with other funds to achieve a diversified portfolio.

IWFQUAL
Fund NameiShares Russell 1000 Growth ETFiShares MSCI USA Quality Factor ETF
Fund ProviderBlackRockBlackRock
IndexRussell 1000 Growth IndexMSCI USA Sector Neutral Quality
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.19%0.15%
Inception Date2000-05-222013-07-18
Number Of Holdings396127
RegionUnited StatesUnited States
Investment StyleGrowthGrowth
Market CapLarge-CapLarge-Cap
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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