PortfolioMetrics

SPY vs. SCHD - ETF Comparison

SPY - SPDR S&P 500 ETF Trust

The SPDR S&P 500 ETF Trust is a large-cap equity fund that tracks the S&P 500 index, providing exposure to a broad range of US large-cap stocks. It is one of the largest and most heavily-traded ETFs in the world, offering liquidity and flexibility for investors seeking to establish exposure to the US equity market.

SCHD - Schwab US Dividend Equity ETF

The Schwab US Dividend Equity ETF (SCHD) is an exchange-traded fund that tracks the Dow Jones U.S. Dividend 100 Index, providing exposure to high-dividend yielding US equities. The fund's unique approach selects companies with a long history of dividend distributions, considering factors such as dividend growth and yield, resulting in a portfolio with a substantial upgrade in payout compared to the broader market. This ETF can be used as a core holding for US equity exposure or as a complement to a more broadly-based fund to derive greater yield, offering a cost-effective solution for investors seeking income generation.

SPYSCHD
Fund NameSPDR S&P 500 ETF TrustSchwab US Dividend Equity ETF
Fund ProviderState StreetCharles Schwab
IndexS&P 500Dow Jones U.S. Dividend 100 Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.09%0.06%
Inception Date1993-01-222011-10-20
Number Of Holdings504101
RegionUnited StatesUnited States
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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