AYER vs. AYEQ - ETF Comparison
AYER - iShares China CNY Bond UCITS ETF USD (Acc)
The iShares China CNY Bond UCITS ETF USD (Acc) is an exchange-traded fund that tracks the Bloomberg China Treasury + Policy Bank index, providing exposure to local currency denominated bonds issued by the Chinese State or state-owned banks, with all maturities included.
AYEQ - iShares China CNY Bond UCITS ETF USD Hedged (Dist)
The iShares China CNY Bond UCITS ETF USD Hedged (Dist) tracks the Bloomberg China Treasury + Policy Bank (USD Hedged) index, providing exposure to Chinese government bonds and state-owned bank bonds quoted on the China Interbank Bond Market. The ETF is currency hedged to USD and distributes interest income semi-annually.
| AYER | AYEQ | |
|---|---|---|
| Fund Name | iShares China CNY Bond UCITS ETF USD (Acc) | iShares China CNY Bond UCITS ETF USD Hedged (Dist) |
| Fund Provider | BlackRock | BlackRock |
| Index | Bloomberg China Treasury + Policy Bank | Bloomberg China Treasury + Policy Bank (USD Hedged) |
| Asset Class | Bonds | Bonds |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.35% | 0.4% |
| Inception Date | 2020-05-14 | 2019-11-04 |
| Number Of Holdings | 104 | 104 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Distributing |
| Region | China | China |
| Bond Type | Government Bonds | Government Bonds |
| 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.