PortfolioMetrics

VIG vs. SDY - ETF Comparison

VIG - Vanguard Dividend Appreciation ETF

The Vanguard Dividend Appreciation ETF is an equity fund that tracks the performance of the S&P U.S. Dividend Growers Index, providing exposure to large-cap dividend-paying companies with growth characteristics in the US equity market. The fund focuses on companies with a history of increasing dividends, making it a solid pick for dividend-focused investors.

SDY - SPDR S&P Dividend ETF

The SPDR S&P Dividend ETF (SDY) tracks the S&P High Yield Dividend Aristocrats Index, providing exposure to large-cap, dividend-paying companies in the US equity market with a history of consistently increasing dividends. The fund offers a diversified portfolio of around 60 holdings, with a focus on consumer, utilities, and industrials sectors. It is suitable for investors seeking a stable source of income and long-term growth.

VIGSDY
Fund NameVanguard Dividend Appreciation ETFSPDR S&P Dividend ETF
Fund ProviderVanguardState Street
IndexS&P U.S. Dividend Growers IndexS&P High Yield Dividend Aristocrats Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.06%0.35%
Inception Date2006-04-212005-11-08
Number Of Holdings341135
CurrencyUSDUSD
RegionUnited StatesUnited States
Investment StyleBlendBlend
Market CapLarge-CapLarge-Cap
SectorConsumer DiscretionaryConsumer Discretionary
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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