CWB vs. ICVT - ETF Comparison
CWB - SPDR Bloomberg Convertible Securities ETF
The SPDR Bloomberg Convertible Securities ETF provides diversified exposure to the US convertible bond market, offering investors the potential to benefit from equity appreciation while earning income from bond holdings. The fund's unique approach allows investors to tap into the growth potential of underlying stocks while maintaining a fixed income component.
ICVT - iShares Convertible Bond ETF
The iShares Convertible Bond ETF is an exchange-traded fund that tracks the Bloomberg U.S. Convertible Cash Pay Bond > $250MM Index, providing investors with exposure to a diversified portfolio of convertible bonds in the United States.
| CWB | ICVT | |
|---|---|---|
| Fund Name | SPDR Bloomberg Convertible Securities ETF | iShares Convertible Bond ETF |
| Fund Provider | State Street | BlackRock |
| Index | Bloomberg US Convertibles Liquid Bond | Bloomberg U.S. Convertible Cash Pay Bond > $250MM Index |
| Asset Class | Bonds | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.40% | 0.20% |
| Inception Date | 2009-04-14 | 2015-06-02 |
| Number Of Holdings | 274 | 330 |
| Currency | USD | USD |
| Region | United States | United States |
| Sector | Financials | Financials |
| Sector Detail | Convertible Bonds | Convertible Bonds |
| Bond Type | Convertible Bonds | Convertible 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.