PortfolioMetrics

LCUJ vs. XDJP - 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.

XDJP - Xtrackers Nikkei 225 UCITS ETF 1D

The Xtrackers Nikkei 225 UCITS ETF 1D is an equity ETF that tracks the Nikkei 225 index, providing exposure to the 225 most actively traded stocks on the Tokyo Stock Exchange. With a low expense ratio of 0.09%, it is a cost-effective way to invest in the Japanese market.

LCUJXDJP
Fund NameAmundi MSCI Japan UCITS ETF AccXtrackers Nikkei 225 UCITS ETF 1D
Fund ProviderAmundiDeutsche Bank
IndexMSCI JapanNikkei 225®
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.12%0.09%
Inception Date2018-02-282013-01-25
Number Of Holdings216225
CurrencyJPYJPY
Distribution PolicyAccumulatingDistributing
RegionJapanJapan
LeveragedNon-leveragedNon-leveraged
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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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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

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End of Year Returns Table

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End of Year Returns

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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

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Drawdowns Table

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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.

Monte Carlo Metrics

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Simulated Portfolio Prices

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