XME vs. SILJ - ETF Comparison
XME - SPDR S&P Metals & Mining ETF
The SPDR S&P Metals & Mining ETF provides exposure to U.S. companies engaged in the extraction of metals and other natural resources, offering a tool for tilting portfolio exposure towards the mining sector or betting on a short-term surge in mining stocks. The fund's equal-weighted methodology ensures balanced exposure to the mining sector, with no single name accounting for a significant portion of total assets.
SILJ - Amplify Junior Silver Miners ETF
The Amplify Junior Silver Miners ETF tracks the performance of the Nasdaq Junior Silver Miners Index, providing investors with exposure to a diversified portfolio of small-cap silver mining companies in developed markets.
XME | SILJ | |
---|---|---|
Fund Name | SPDR S&P Metals & Mining ETF | Amplify Junior Silver Miners ETF |
Fund Provider | State Street | Amplify Investments |
Index | S&P Metals & Mining Select Industry Index | Nasdaq Junior Silver Miners Index - Benchmark TR Gross |
Asset Class | Equity | Equity |
Listing | US-listed | US-listed |
Expense Ratio | 0.35% | 0.69% |
Inception Date | 2006-06-19 | 2012-11-28 |
Number Of Holdings | 37 | 51 |
Region | United States | Developed Markets |
Investment Style | Blend | Blend |
Market Cap | Blend | Small-Cap |
Sector | Materials | Materials |
Sector Detail | Metals & Mining | Silver Miners |
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.