DFJ vs. FLJP - ETF Comparison
DFJ - WisdomTree Japan SmallCap Dividend Fund
The WisdomTree Japan SmallCap Dividend Fund provides investors with exposure to small-cap Japanese stocks, offering a targeted asset class that can help tilt exposure towards Japan or be used as part of a long/short play. The fund tracks a dividend-weighted benchmark, seeking to enhance current returns from equity allocation and avoid the potential pitfalls of cap-weighted ETFs.
FLJP - Franklin FTSE Japan ETF
The Franklin FTSE Japan ETF provides exposure to large- and mid-size Japanese equities, offering a targeted investment opportunity in one of the world's largest economies. With a competitive expense ratio, this fund tracks the FTSE Japan RIC Capped Index, providing a broad-based, market-cap weighted portfolio of Japanese stocks.
| DFJ | FLJP | |
|---|---|---|
| Fund Name | WisdomTree Japan SmallCap Dividend Fund | Franklin FTSE Japan ETF |
| Fund Provider | WisdomTree | Franklin Templeton |
| Index | WisdomTree Japan SmallCap Dividend Index | FTSE Japan RIC Capped Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.58% | 0.09% |
| Inception Date | 2006-06-16 | 2017-11-02 |
| Number Of Holdings | 732 | 505 |
| Region | Japan | Japan |
| Investment Style | Blend | Blend |
| Market Cap | Mid-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.