GNR vs. ICLN - ETF Comparison
GNR - SPDR S&P Global Natural Resources ETF
The SPDR S&P Global Natural Resources ETF provides broad-based exposure to commodities through a global portfolio of large-cap companies, offering investors a diversified way to gain exposure to natural resources and potentially hedge against inflation.
ICLN - iShares Global Clean Energy ETF
The iShares Global Clean Energy ETF provides diversified exposure to the global clean energy sector, investing in a range of companies involved in renewable energy sources such as wind power, solar power, and other alternative energy sub-sectors. This fund offers a convenient way to tap into the growing demand for clean energy solutions, making it a valuable addition to a long-term portfolio.
| GNR | ICLN | |
|---|---|---|
| Fund Name | SPDR S&P Global Natural Resources ETF | iShares Global Clean Energy ETF |
| Fund Provider | State Street | BlackRock |
| Index | S&P Global Natural Resources Index | S&P Global Clean Energy |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.40% | 0.41% |
| Inception Date | 2010-09-13 | 2008-06-24 |
| Number Of Holdings | 91 | 104 |
| Region | Global | Developed Markets |
| Investment Style | Blend | Blend |
| Market Cap | Large-Cap | Blend |
| Sector | Energy | Energy |
| Sector Detail | Natural Resources | Renewable Energy |
| 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.