SIVR vs. SLV - ETF Comparison
SIVR - abrdn Physical Silver Shares ETF
The abrdn Physical Silver Shares ETF is a commodity ETF that tracks the price of silver, providing investors with a physically-backed investment in the precious metal. It offers a cost-effective way to gain exposure to silver, which is often used as an inflationary hedge or to protect against market volatility.
SLV - iShares Silver Trust
The iShares Silver Trust ETF provides investors with a physically-backed exposure to silver, offering a hedge against inflation and market volatility. It tracks the LBMA Silver Price, eliminating the complexities of futures contracts and providing a realistic pricing of the metal. This fund is suitable for investors seeking a safe haven during times of market uncertainty, but may not be ideal for long-term buy-and-hold strategies.
| SIVR | SLV | |
|---|---|---|
| Fund Name | abrdn Physical Silver Shares ETF | iShares Silver Trust |
| Fund Provider | Abrdn Plc | BlackRock |
| Index | LBMA Silver Price ($/ozt) | LBMA Silver Price ($/ozt) |
| Asset Class | Commodity | Commodity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.30% | 0.50% |
| Inception Date | 2009-07-20 | 2006-04-21 |
| Number Of Holdings | 1 | 1 |
| 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.