PortfolioMetrics

IEV vs. VGK - ETF Comparison

IEV - iShares Europe ETF

The iShares Europe ETF provides investors with broad exposure to developed Europe, tracking the S&P Europe 350 Index. The fund offers a diversified portfolio of large-cap stocks across various sectors and economies, making it a suitable building block for a long-term buy-and-hold portfolio. With a market capitalization-weighted approach, IEV provides an efficient way to establish a Europe bias, although investors should be aware of the relatively high expense ratio compared to similar funds.

VGK - Vanguard FTSE Europe ETF

The Vanguard FTSE Europe ETF provides broad-based exposure to the developed economies of Europe, offering a diversified portfolio of over 1,200 holdings across multiple markets. With a low expense ratio, this ETF is an efficient tool for investors seeking to tilt their exposure towards European equities, with a balanced approach across countries, sectors, and individual holdings.

IEVVGK
Fund NameiShares Europe ETFVanguard FTSE Europe ETF
Fund ProviderBlackRockVanguard
IndexS&P Europe 350 IndexFTSE Developed Europe All Cap
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.67%0.11%
Inception Date2000-07-252005-03-04
Number Of Holdings3631279
RegionEuropeEurope
Investment StyleBlendBlend
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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