BBJP vs. DBJP - ETF Comparison
BBJP - JPMorgan BetaBuilders Japan ETF
The JPMorgan BetaBuilders Japan ETF is a low-cost, diversified investment fund that tracks a broad market index of large and mid-size Japanese companies, offering a cost-effective way to invest in the Japanese equity market.
DBJP - Xtrackers MSCI Japan Hedged Equity ETF
The Xtrackers MSCI Japan Hedged Equity ETF provides exposure to large-cap Japanese stocks, hedging out currency exposure to deliver isolated exposure to the performance of the underlying equities in local prices. This ETF is suitable for investors seeking targeted exposure to the Japanese market, with the option to combine it with unhedged Japan equity ETFs for a diversified portfolio.
| BBJP | DBJP | |
|---|---|---|
| Fund Name | JPMorgan BetaBuilders Japan ETF | Xtrackers MSCI Japan Hedged Equity ETF |
| Fund Provider | JPMorgan Chase | Deutsche Bank |
| Index | Morningstar Japan Target Market Exposure Index | MSCI Japan US Dollar Hedged Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.19% | 0.47% |
| Inception Date | 2018-06-15 | 2011-06-09 |
| Number Of Holdings | 225 | 208 |
| Region | Japan | Japan |
| Investment Style | Blend | Blend |
| Market Cap | Large-Cap | Large-Cap |
| 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.