H4ZB vs. H4ZF - ETF Comparison
H4ZB - HSBC FTSE 100 UCITS ETF GBP
The HSBC FTSE 100 UCITS ETF GBP is a large, diversified equity fund that tracks the FTSE 100 index, providing exposure to the 100 largest UK stocks. With a low expense ratio of 0.07%, it is an attractive option for investors seeking to invest in the UK market.
H4ZF - HSBC S&P 500 UCITS ETF USD
The HSBC S&P 500 UCITS ETF USD is an exchange-traded fund that tracks the S&P 500 index, providing investors with exposure to the 500 largest US stocks. The fund uses a full replication strategy to track the underlying index and distributes dividends semi-annually. With a total expense ratio of 0.09% p.a., it offers a cost-effective way to invest in the US equity market.
| H4ZB | H4ZF | |
|---|---|---|
| Fund Name | HSBC FTSE 100 UCITS ETF GBP | HSBC S&P 500 UCITS ETF USD |
| Fund Provider | HSBC | HSBC |
| Index | FTSE 100 | S&P 500 |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.07% | 0.09% |
| Inception Date | 2009-08-24 | 2010-05-14 |
| Number Of Holdings | 101 | 502 |
| Currency | GBP | USD |
| Distribution Policy | Distributing | Distributing |
| Region | United Kingdom | United States |
| 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.