H4ZL vs. D5BK - ETF Comparison
H4ZL - HSBC FTSE EPRA NAREIT Developed UCITS ETF USD
The HSBC FTSE EPRA NAREIT Developed UCITS ETF USD is a real estate-focused exchange-traded fund that tracks the FTSE EPRA/NAREIT Developed index, providing investors with exposure to the largest real estate companies in developed equity markets worldwide.
D5BK - Xtrackers FTSE EPRA/NAREIT Developed Europe Real Estate UCITS ETF 1C
The Xtrackers FTSE EPRA/NAREIT Developed Europe Real Estate UCITS ETF 1C is a large, diversified real estate ETF that tracks the FTSE EPRA/NAREIT Developed Europe index, providing exposure to European listed equity REITS and property companies. With a low expense ratio of 0.33%, it offers a cost-effective way to invest in the European real estate market.
H4ZL | D5BK | |
---|---|---|
Fund Name | HSBC FTSE EPRA NAREIT Developed UCITS ETF USD | Xtrackers FTSE EPRA/NAREIT Developed Europe Real Estate UCITS ETF 1C |
Fund Provider | HSBC | Deutsche Bank |
Index | FTSE EPRA/NAREIT Developed | FTSE EPRA/NAREIT Developed Europe |
Asset Class | Real Estate | Real Estate |
Listing | EU-listed | EU-listed |
Expense Ratio | 0.24% | 0.33% |
Inception Date | 2011-06-20 | 2010-03-25 |
Number Of Holdings | 361 | 102 |
Currency | USD | EUR |
Distribution Policy | Distributing | Accumulating |
Region | Developed Markets | Europe |
Sector | Real Estate | Real Estate |
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.