PSLV vs. GPOW - ETF Comparison
PSLV - The Sprott Physical Silver Trust
The Sprott Physical Silver Trust (PSLV) is an exchange-traded fund that tracks the price of silver, providing investors with a convenient way to gain exposure to the precious metal. The fund is designed to offer a secure and convenient way to invest in physical silver, with a focus on preserving wealth and hedging against inflation.
GPOW - Goldman Sachs North American Pipelines & Power Equity ETF
The Goldman Sachs North American Pipelines & Power Equity ETF is an exchange-traded fund that tracks the Solactive Energy Infrastructure Enhanced Index - Benchmark TR Net, providing investors with exposure to a diversified portfolio of energy infrastructure companies in North America.
| PSLV | GPOW | |
|---|---|---|
| Fund Name | The Sprott Physical Silver Trust | Goldman Sachs North American Pipelines & Power Equity ETF |
| Fund Provider | Sprott Asset Management | Goldman Sachs |
| Index | No Index | Solactive Energy Infrastructure Enhanced Index - Benchmark TR Net |
| Asset Class | Commodity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.67% | 0.55% |
| Inception Date | 2010-10-27 | 2023-07-11 |
| Currency | USD | USD |
| Region | North America | North America |
| Sector | Materials | Energy |
| Sector Detail | Precious Metals | Energy Infrastructure |
| Leveraged | Non-leveraged | Non-leveraged |
Select Timeframe
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.