GLAC vs. QDVJ - ETF Comparison
GLAC - SPDR Bloomberg Global Aggregate Bond UCITS ETF CHF Hedged
The SPDR Bloomberg Global Aggregate Bond UCITS ETF CHF Hedged is a bond ETF that tracks the Bloomberg Global Aggregate Bond (CHF Hedged) index, providing exposure to investment-grade bonds issued in emerging and developed markets worldwide, hedged to the Swiss Franc (CHF).
QDVJ - iShares Core Global Aggregate Bond UCITS ETF USD Hedged (Acc)
The iShares Core Global Aggregate Bond UCITS ETF USD Hedged (Acc) is a bond ETF that tracks the Bloomberg Global Aggregate Bond (USD Hedged) index, providing exposure to investment-grade bonds from emerging and developed markets worldwide, with all maturities represented. The fund is currency hedged to USD and has a low expense ratio of 0.10% p.a.
| GLAC | QDVJ | |
|---|---|---|
| Fund Name | SPDR Bloomberg Global Aggregate Bond UCITS ETF CHF Hedged | iShares Core Global Aggregate Bond UCITS ETF USD Hedged (Acc) |
| Fund Provider | State Street | BlackRock |
| Index | Bloomberg Global Aggregate Bond (CHF Hedged) | Bloomberg Global Aggregate Bond (USD Hedged) |
| Asset Class | Bonds | Bonds |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.1% | 0.1% |
| Inception Date | 2018-04-06 | 2017-11-21 |
| Number Of Holdings | 9926 | 14698 |
| Currency | CHF | USD |
| Currency Hedged | ||
| Distribution Policy | Accumulating | Accumulating |
| Region | Global | Global |
| Bond Type | Broad Market | Broad Market |
| 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.