SPEM vs. VWOB - 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.
VWOB - Vanguard Emerging Markets Government Bond ETF
The Vanguard Emerging Markets Government Bond ETF provides exposure to U.S.-dollar denominated debt issued by emerging market governments, offering a low-cost way to diversify a portfolio and enhance current returns without currency fluctuations.
| SPEM | VWOB | |
|---|---|---|
| Fund Name | SPDR Portfolio Emerging Markets ETF | Vanguard Emerging Markets Government Bond ETF |
| Fund Provider | State Street | Vanguard |
| Index | S&P Emerging Markets BMI | Bloomberg USD Emerging Markets Government RIC Capped Bond |
| Asset Class | Equity | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.07% | 0.20% |
| Inception Date | 2007-03-20 | 2013-05-31 |
| Number Of Holdings | 3326 | 715 |
| Region | Emerging Markets | Emerging Markets |
| 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.