LCUJ vs. SGAJ - ETF Comparison
LCUJ - Amundi MSCI Japan UCITS ETF Acc
The Amundi MSCI Japan UCITS ETF Acc is an equity fund that tracks the MSCI Japan index, providing investors with exposure to leading Japanese stocks. With a low expense ratio of 0.12% and a large asset base of €3,329 million, this ETF offers a cost-effective way to invest in the Japanese market.
SGAJ - iShares MSCI Japan ESG Screened UCITS ETF USD (Acc)
The iShares MSCI Japan ESG Screened UCITS ETF USD (Acc) is an equity fund that tracks the MSCI Japan ESG Screened index, providing exposure to Japanese companies while excluding those involved in controversial industries. The fund employs a sampling technique to replicate the performance of the underlying index and accumulates dividends for reinvestment.
| LCUJ | SGAJ | |
|---|---|---|
| Fund Name | Amundi MSCI Japan UCITS ETF Acc | iShares MSCI Japan ESG Screened UCITS ETF USD (Acc) |
| Fund Provider | Amundi | BlackRock |
| Index | MSCI Japan | MSCI Japan ESG Screened |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.12% | 0.15% |
| Inception Date | 2018-02-28 | 2018-10-19 |
| Number Of Holdings | 216 | 202 |
| Currency | JPY | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | Japan | Japan |
| 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.