JNK vs. HYG - ETF Comparison
JNK - SPDR Bloomberg High Yield Bond ETF
The SPDR Bloomberg High Yield Bond ETF (JNK) provides exposure to the US high-yield bond market, investing in a diversified portfolio of corporate bonds with a minimum of one year to maturity and $600 million in outstanding face value. The fund offers a high-yield investment opportunity, but comes with higher default risks. It is suitable for investors seeking income generation and willing to take on credit risk.
HYG - iShares iBoxx $ High Yield Corporate Bond ETF
The iShares iBoxx $ High Yield Corporate Bond ETF (HYG) is a fixed income fund that tracks the iBoxx USD Liquid High Yield Index, providing broad exposure to the U.S. dollar-denominated high yield liquid corporate bond market. The fund offers a high yield potential, but comes with higher credit risk, making it suitable for investors seeking income generation and willing to take on additional risk. The fund's portfolio is dominated by corporate bonds with investment grades between B and BB, and is primarily invested in the U.S. with a small allocation to international markets.
| JNK | HYG | |
|---|---|---|
| Fund Name | SPDR Bloomberg High Yield Bond ETF | iShares iBoxx $ High Yield Corporate Bond ETF |
| Fund Provider | State Street | BlackRock |
| Index | Bloomberg High Yield Very Liquid | iBoxx USD Liquid High Yield Index |
| Asset Class | Bonds | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.40% | 0.49% |
| Inception Date | 2007-11-28 | 2007-04-04 |
| Number Of Holdings | 1188 | 1228 |
| Currency | USD | USD |
| Region | United States | United States |
| Sector | Financials | Financials |
| Sector Detail | Corporate 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.