PortfolioMetrics

SPEM vs. FNDE - ETF Comparison

SPEM - SPDR Portfolio Emerging Markets ETF

The SPDR Portfolio Emerging Markets ETF (SPEM) provides broad exposure to emerging markets, offering a diversified portfolio of over 3,300 holdings at a competitive price. It tracks the S&P Emerging Markets BMI index, excluding South Korea, which is classified as a developed market. This ETF is suitable for long-term investors seeking to build a balanced portfolio with a blend of large-cap stocks.

FNDE - Schwab Fundamental Emerging Markets Equity ETF

The Schwab Fundamental Emerging Markets Equity ETF is an exchange-traded fund that tracks the RAFI Fundamental High Liquidity Emerging Markets Index, providing broad-based exposure to large-cap companies in emerging markets. The fund uses a fundamental weighting scheme to select and weight its holdings, aiming to provide a diversified portfolio with a blend of growth and value investment styles.

SPEMFNDE
Fund NameSPDR Portfolio Emerging Markets ETFSchwab Fundamental Emerging Markets Equity ETF
Fund ProviderState StreetCharles Schwab
IndexS&P Emerging Markets BMIRAFI Fundamental High Liquidity Emerging Markets Index - Benchmark TR Net
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.07%0.39%
Inception Date2007-03-202013-08-15
Number Of Holdings3326377
RegionEmerging MarketsEmerging Markets
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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