GDXJ vs. MOAT - ETF Comparison
GDXJ - VanEck Junior Gold Miners ETF
The VanEck Junior Gold Miners ETF provides investors with exposure to junior gold mining companies, offering a diversified portfolio of global gold miners. The fund tracks the MVIS Global Junior Gold Miners Index, giving investors access to a broad range of gold mining companies. With a market capitalization-weighted approach, the fund aims to provide a balanced investment opportunity in the gold mining sector.
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.
GDXJ | MOAT | |
---|---|---|
Fund Name | VanEck Junior Gold Miners ETF | VanEck Morningstar Wide Moat ETF |
Fund Provider | VanEck | VanEck |
Index | MVIS Global Junior Gold Miners | Morningstar Wide Moat Focus Index |
Asset Class | Equity | Equity |
Listing | US-listed | US-listed |
Expense Ratio | 0.52% | 0.46% |
Inception Date | 2009-11-11 | 2012-04-25 |
Number Of Holdings | 89 | 55 |
Region | Developed Markets | United States |
Investment Style | Blend | Blend |
Market Cap | Blend | Blend |
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.