Important note. This content is published for educational and statistical purposes. It does not constitute investment advice under AMF / MiFID II regulations. Past performance is not indicative of future results.
What are Junk Bond Spreads?
Junk Bond Spreads measure the yield difference between high-risk bonds ("junk bonds" or high yield) and risk-free US Treasury bonds. This spread reflects the risk premium investors demand to hold fragile corporate debt.
High Yield Spreads and Junk Bond Spreads refer to the same indicator: the premium demanded on below-investment-grade bonds (ICE BofA OAS). High yield is the standard market and FRED label; junk bonds is the older name for the same asset class.
Economic logic
Companies rated below BBB- carry high default risk. In confident periods, investors accept low spreads because they underestimate risk. In stress periods, spreads explode as investors flee credit risk.
The spread paradox
Like the VIX, junk bond spreads are a contrarian indicator: a very low spread (< 3%) at the market peak signals excessive complacency that often precedes crises. Conversely, a very high spread (> 10%) often marks a capitulation point.
A low OAS spread (euphoria) produces a high ONELIX score; a high spread (panic) produces a low score.
Junk Bond Spreads read credit complacency or stress. A high score at the market peak reflects underestimated default risk.
How the signal is built
Source: ICE BofA OAS
ONELIX uses the ICE BofA US High Yield Option-Adjusted Spread (FRED BAMLH0A0HYM2), available since 1996. This is an option-adjusted spread calculated between high yield bonds and an appropriate Treasury curve.
Z-scores with inverted logic
ONELIX computes standard deviations of the spread from its historical mean. The formula is inverted: a high spread (market caution) generates a negative z-score, while a low spread (euphoria) generates a positive z-score. Thus, a +2σ deviation indicates abnormally compressed spreads — excessive complacency.
0–100% normalization
ONELIX then builds a normalized indicator from 0 to 100% using a proprietary formula — displayed in the dashboard and integrated into the LIX. 0% represents very high spreads (panic); 100% very compressed spreads (euphoria).
The exact normalization formula and some robustness parameters are not published. The general logic (ICE BofA OAS, inverted z-scores, 0–100% score) is documented.
Historical reading
The chart below presents the raw value of Junk Bond Spreads from 1996 to year-end 2025.
Junk Bond Spreads — high yield credit risk premium
Monthly values, December 1996 → December 2025
Sources: ICE BofA US High Yield OAS (FRED BAMLH0A0HYM2), ONELIX calculation. Red bands: 15 major corrections tracked in ONELIX.
Notable historical episodes
- 2008 (Lehman): spread at 20%, systemic credit crisis
- 2020 (COVID): spread at 11%, initial panic then rapid rebound
- 2021: spread at 2.5%, record euphoria before the 2022 inflation correction
Low spreads at market peaks (complacency) often precede corrections. Spread spikes generally mark credit capitulation.
The ONELIX reading of Junk Bond Spreads
ONELIX reads Junk Bond Spreads as a credit complacency or stress signal — contrarian at the market peak. A high score at the peak means the market poorly compensates default risk.
The signal becomes more robust when it converges with an unfavorable yield curve, elevated valuations, high leverage or low volatility.
Across the 8 major corrections (≥ 19%) with data since 1996, the signal showed clear detection (≥ 75%) in roughly 63% of cases (1998, 2008, 2018, 2022, 2025), moderate signal (60–75%) in 38% (2000, 2011, 2020), and 0% non-detection (< 60%) — a remarkable track record for a credit indicator.
A high score means credit sits in a historically stretched zone in the ONELIX normalization. It must be read alongside the other risk indicators.
Product preview. Frozen historical capture of Junk Bond Spreads in the ONELIX dashboard.
In the LIX composite score, Junk Bond Spreads are combined with rates, the yield curve, valuation, the macro cycle and volatility. The ONELIX methodology details the normalization and aggregation logic.
Limits and vigilance points
Junk Bond Spreads are excellent for measuring credit risk sentiment, but have important nuances.
- Fed interventions: bond purchases by the Fed distort spreads (2020)
- Imprecise timing: a low spread can persist for years before a correction
- Changing composition: average high yield market quality evolves over time
- Liquidity: spreads can move sharply when the bond market becomes less liquid
- Combined reading: cross-check with rates, curve, valuation and volatility
A high score signals credit complacency at the peak, but does not provide an equity correction date.
Explore Junk Bond Spreads in ONELIX
Interactive charts, drawdown statistics, historical zones and dedicated backtest.
Frequently asked questions
What do Junk Bond Spreads measure?
The ICE BofA OAS premium between high yield bonds and Treasuries, transformed into an ONELIX score of 0–100% with inverted logic (low spread = high score).
Why inverted logic?
A low spread (complacency) generates a high score at the market peak; a high spread (panic) generates a low score — contrarian reading similar to the VIX.
What are the data sources?
ICE BofA US High Yield Option-Adjusted Spread (FRED BAMLH0A0HYM2), inverted z-scores, proprietary ONELIX normalization.
Why a low spread at the market peak?
Contrarian indicator: a compressed spread at the peak reflects credit complacency (e.g. 2021 at 2.5%), not the absence of risk.
Does it predict crashes?
No. It informs on credit complacency or stress and historical frequencies (63% / 38% / 0%), without market timing.
Can it be used alone?
No. Cross-check with yield curve, Interest Rates, valuation, leverage (Margin Debt) and volatility.