GSGR vs. CBNX - ETF Comparison
GSGR - Goldman Sachs Global Green Bond UCITS ETF EUR (Dist)
The Goldman Sachs Global Green Bond UCITS ETF EUR (Dist) is an exchange-traded fund that tracks the Solactive Global Green Bond Select index, investing in investment-grade green bonds from around the world. The fund aims to provide a diversified portfolio of green bonds with all maturities, distributing interest income semi-annually.
CBNX - Goldman Sachs Access China Government Bond UCITS ETF USD (Acc)
The Goldman Sachs Access China Government Bond UCITS ETF USD (Acc) is an exchange-traded fund that tracks the FTSE Goldman Sachs China Government Bond index, providing exposure to renminbi-denominated fixed-rate bonds issued by the Chinese treasury and regional Chinese governments.
| GSGR | CBNX | |
|---|---|---|
| Fund Name | Goldman Sachs Global Green Bond UCITS ETF EUR (Dist) | Goldman Sachs Access China Government Bond UCITS ETF USD (Acc) |
| Fund Provider | Goldman Sachs | Goldman Sachs |
| Index | Solactive Global Green Bond Select | FTSE Goldman Sachs China Government Bond |
| Asset Class | Bonds | Bonds |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.22% | 0.24% |
| Inception Date | 2024-02-13 | 2021-05-19 |
| Currency | EUR | USD |
| Distribution Policy | Distributing | Accumulating |
| Region | Global | China |
| Bond Type | Government Bonds | Government Bonds |
| 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.