URA vs. GNR - ETF Comparison
URA - Global X Uranium ETF
The Global X Uranium ETF provides investors with exposure to the global uranium and nuclear components industry, offering a unique opportunity to tap into the growing demand for this essential mineral in power production. With a diversified portfolio of 49 holdings, this fund tracks the Solactive Global Uranium & Nuclear Components Index, providing a broad representation of the sector.
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.
| URA | GNR | |
|---|---|---|
| Fund Name | Global X Uranium ETF | SPDR S&P Global Natural Resources ETF |
| Fund Provider | Mirae Asset | State Street |
| Index | Solactive Global Uranium & Nuclear Components Index | S&P Global Natural Resources Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.69% | 0.40% |
| Inception Date | 2010-11-04 | 2010-09-13 |
| Number Of Holdings | 49 | 91 |
| Region | Developed Markets | Global |
| Investment Style | Blend | Blend |
| Market Cap | Blend | Large-Cap |
| Sector | Energy | Energy |
| Sector Detail | Nuclear Energy | Natural Resources |
| 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.