VIG vs. BND - 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.
BND - Vanguard Total Bond Market ETF
The Vanguard Total Bond Market ETF provides broad exposure to the US investment-grade bond market, covering a range of sectors and maturities. It offers a diversified portfolio of government and corporate bonds, making it a suitable choice for investors seeking to increase their bond holdings across various sectors.
| VIG | BND | |
|---|---|---|
| Fund Name | Vanguard Dividend Appreciation ETF | Vanguard Total Bond Market ETF |
| Fund Provider | Vanguard | Vanguard |
| Index | S&P U.S. Dividend Growers Index | Bloomberg US Aggregate - Float Adjusted |
| Asset Class | Equity | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.06% | 0.03% |
| Inception Date | 2006-04-21 | 2007-04-03 |
| Number Of Holdings | 341 | 17813 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Blend | Blend |
| Sector | Consumer Discretionary | Financials |
| Leveraged | Non-leveraged | Non-leveraged |
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Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
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
End of Year Returns Table
End of Year Returns
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
Drawdowns Table
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.