SJNK vs. SHYG - ETF Comparison
SJNK - SPDR Bloomberg Short Term High Yield Bond ETF
The SPDR Bloomberg Short Term High Yield Bond ETF (SJNK) provides targeted exposure to short-term high-yield bonds in the US market, offering a unique combination of credit risk and limited interest rate risk. This ETF can be used as a tactical tool to fine-tune fixed income exposure, particularly for investors seeking to enhance current returns while managing interest rate risk.
SHYG - iShares 0-5 Year High Yield Corporate Bond ETF
The iShares 0-5 Year High Yield Corporate Bond ETF is an exchange-traded fund that tracks the performance of the Markit iBoxx USD Liquid High Yield 0-5 Index, providing investors with exposure to high-yield corporate bonds with maturities between 0-5 years.
| SJNK | SHYG | |
|---|---|---|
| Fund Name | SPDR Bloomberg Short Term High Yield Bond ETF | iShares 0-5 Year High Yield Corporate Bond ETF |
| Fund Provider | State Street | BlackRock |
| Index | Bloomberg US High Yield 350mn Cash Pay 2% Capped (0-5 Y) | Markit iBoxx USD Liquid High Yield 0-5 Index |
| Asset Class | Bonds | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.40% | 0.30% |
| Inception Date | 2012-03-15 | 2013-10-15 |
| Number Of Holdings | 1061 | 1045 |
| Currency | USD | USD |
| Region | United States | United States |
| Sector | Financials | Financials |
| Sector Detail | Bonds | Corporate Bonds |
| Bond Type | High Yield Bonds | High Yield 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.