EMLC vs. MOAT - ETF Comparison
EMLC - VanEck J. P. Morgan EM Local Currency Bond ETF
The VanEck J. P. Morgan EM Local Currency Bond ETF provides exposure to debt of emerging markets issuers denominated in local currencies, offering a diversification opportunity for fixed income investors beyond U.S. borders. This ETF can serve as a hedge against the U.S. dollar and enhance returns in low-interest-rate environments.
MOAT - VanEck Morningstar Wide Moat ETF
The VanEck Morningstar Wide Moat ETF is an equity fund that tracks the Morningstar Wide Moat Focus Index, investing in US companies with sustainable competitive advantages. The fund's strategy focuses on long-term investments in giant and large-cap firms that have exploited their advantages, providing broad-based exposure to the total US market.
| EMLC | MOAT | |
|---|---|---|
| Fund Name | VanEck J. P. Morgan EM Local Currency Bond ETF | VanEck Morningstar Wide Moat ETF |
| Fund Provider | VanEck | VanEck |
| Index | J.P. Morgan Government Bond Index Emerging Markets Global Core Index | Morningstar Wide Moat Focus Index |
| Asset Class | Bonds | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.30% | 0.46% |
| Inception Date | 2010-07-22 | 2012-04-25 |
| Number Of Holdings | 406 | 55 |
| Region | Emerging Markets | United States |
| 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.