BBCA vs. FLCA - ETF Comparison
BBCA - JPMorgan BetaBuilders Canada ETF
The JPMorgan BetaBuilders Canada ETF provides diversified exposure to the Canadian equity market, offering a cost-effective way to invest in Canada. The fund tracks the Morningstar Canada Target Market Exposure Index, providing a broad-based market cap-weighted portfolio of Canadian stocks.
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.
| BBCA | FLCA | |
|---|---|---|
| Fund Name | JPMorgan BetaBuilders Canada ETF | Franklin FTSE Canada ETF |
| Fund Provider | JPMorgan Chase | Franklin Templeton |
| Index | Morningstar Canada Target Market Exposure Index | FTSE Canada RIC Capped Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.19% | 0.09% |
| Inception Date | 2018-08-07 | 2017-11-02 |
| Number Of Holdings | 78 | 50 |
| 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.