FLCA vs. SGDM - ETF Comparison
FLCA - Franklin FTSE Canada ETF
The Franklin FTSE Canada ETF (FLCA) provides diversified exposure to the Canadian equity market, tracking the FTSE Canada RIC Capped Index. The fund offers a cost-effective way to invest in large and mid-size companies in Canada, making it an attractive option for investors seeking to fill a gap in their developed markets portfolio.
SGDM - Sprott Gold Miners ETF
The Sprott Gold Miners ETF is an equity fund that tracks the Solactive Gold Miners Custom Factors Index, providing investors with exposure to a diversified portfolio of gold mining companies listed in Canada. The fund employs a fundamental investment strategy and a market capitalization weighting scheme, offering a blend of growth and value investing styles.
| FLCA | SGDM | |
|---|---|---|
| Fund Name | Franklin FTSE Canada ETF | Sprott Gold Miners ETF |
| Fund Provider | Franklin Templeton | Sprott |
| Index | FTSE Canada RIC Capped Index | Solactive Gold Miners Custom Factors Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.09% | 0.50% |
| Inception Date | 2017-11-02 | 2014-07-15 |
| Number Of Holdings | 50 | 37 |
| Region | Canada | Canada |
| Investment Style | Blend | Blend |
| Market Cap | Blend | Blend |
| 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.