iShares iBoxx $ High Yield Corporate Bond ETF (HYG) Probability Analysis
Probability analysis extracts the risk-neutral probability distribution implied by option prices. It shows the market-implied likelihood of the underlying reaching various price levels by expiration.
iShares iBoxx $ High Yield Corporate Bond ETF (HYG) operates in the Financial Services sector, specifically the Asset Management - Bonds industry, with a market capitalization near $16.18B, listed on AMEX, carrying a beta of 0.67 to the broader market. The iShares iBoxx $ High Yield Corporate Bond ETF seeks to track the investment results of an index composed of U. public since 2007-04-11.
Snapshot as of May 29, 2026.
- Spot Price
- $80.31
- ATM IV
- 3.5%
- IV Rank
- 8.3%
- IV Percentile
- 3.2%
- HV 20-Day
- 4.4%
- IV Skew 25Δ
- 0.012
As of May 29, 2026, iShares iBoxx $ High Yield Corporate Bond ETF (HYG) at $80.31 has an ATM IV of 3.5%, implying a 30-day one-standard-deviation range of approximately ±$0.80. IV rank is 8.3% (subdued, distribution priced tighter than usual). IV percentile is 3.2%. The 25-delta skew is +0.012: roughly symmetric wings. Under lognormal assumptions roughly 68% of outcomes fall within ±1σ and 95% within ±2σ; risk-neutral probability analysis refines this by extracting the market-implied distribution directly from options prices, capturing the fat tails that real markets exhibit.
How HYG probability analysis Data Feeds Strategy Selection
Strategy selection on iShares iBoxx $ High Yield Corporate Bond ETF options does not derive from any single metric in isolation. The probability analysis view above sits inside a broader read: ATM IV currently sits at 3.5% and dealer gamma exposure is negative, so dealer hedging amplifies directional moves. Combine the probability analysis data here with the volatility-skew surface, dealer-gamma exposure, max-pain level, and upcoming-events calendar to build a positioning thesis. Risk-defined structures (credit spreads, debit spreads, iron condors) are usually safer than naked positions while the regime is uncertain; the data on this page anchors the inputs but does not by itself constitute a trade thesis.
How to read the HYG probability distribution
The probability cone above is the option-market-implied distribution of where iShares iBoxx $ High Yield Corporate Bond ETF spot could end up at expiration. It's derived from the implied-volatility surface via a risk-neutral pricing transformation, not from historical realized returns. With ATM IV at 3.5% and spot at $80.31, the 1σ band is approximately ±1.2% over a 30-day horizon. Recent realized HV-20 of 4.4% runs 0.9 vol points above current implied, an inverted regime where premium buyers are underpaying.
HYG risk-neutral vs real-world probabilities
The probabilities derived from option prices reflect the market's risk-adjusted view, not the realized statistical distribution. Risk-neutral probabilities include the equity risk premium and skew preferences priced into options, so they tend to overstate tail probability and understate upside drift relative to actually-realized outcomes. For probability-of-touch calculations and assignment-risk modeling, risk-neutral is the right benchmark. For position-sizing your own conviction, blend with realized-volatility-based statistics from the HV columns.
Trading the HYG distribution
Probability-driven strategies aim to capture mispricings between the implied distribution and your own probability assessment. Premium-selling structures (credit spreads, iron condors, cash-secured puts) profit when the implied distribution overprices tail probability relative to realized; premium-buying (debit spreads, long calls/puts, long straddles) profits in the reverse. With HYG IV rank at 8.3%, the chain is pricing tighter tails than recent realized history; buyers get cheaper optionality but need a real catalyst to monetize. Always pair probability-driven strategy selection with a stop loss or wing-defined risk - the implied distribution is a snapshot, and regime shifts can invalidate it intraday.
Learn how risk-neutral density is reported and how to read the data →
HYG highest implied-volatility contracts
| Type | Strike | Expiration | Volume | OI | IV | Bid | Ask |
|---|---|---|---|---|---|---|---|
| PUT | $79.00 | Jun 18, 2026 | 16.3K | 511.5K | 1.0% | $0.10 | $0.12 |
| PUT | $80.00 | Jun 18, 2026 | 11.7K | 240.3K | 1.4% | $0.26 | $0.29 |
| CALL | $80.00 | Jun 18, 2026 | 5.5K | 165.3K | 1.4% | $0.29 | $0.34 |
| PUT | $75.00 | Jun 18, 2026 | 121 | 408.2K | 1.0% | $0.01 | $0.03 |
| CALL | $81.00 | Nov 20, 2026 | 0 | 379.9K | 5.1% | $0.23 | $0.48 |
| PUT | $75.00 | Sep 18, 2026 | 112.0K | 204.8K | 6.2% | $0.34 | $0.37 |
| PUT | $80.00 | Sep 18, 2026 | 3 | 185.6K | 3.2% | $1.04 | $1.51 |
| CALL | $80.00 | Sep 18, 2026 | 111.5K | 43.7K | 3.2% | $0.29 | $0.78 |
| PUT | $78.00 | Jun 18, 2026 | 893 | 336.6K | 1.0% | $0.03 | $0.06 |
| PUT | $77.00 | Jun 18, 2026 | 391 | 318.6K | 1.0% | $0.03 | $0.05 |
Top 10 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.
Frequently asked HYG probability analysis questions
- What is the HYG 30-day expected price range?
- As of May 29, 2026, with HYG at $80.31 and ATM IV at 3.5%, the implied 30-day one-standard-deviation range is approximately ±$0.80, or about $79.51 to $81.11. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does HYG risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future HYG price implied by listed option prices. Extracted via Breeden-Litzenberger (twice-differentiating the call price function with respect to strike), it represents the pricing kernel rather than the real-world probability of outcomes. Persistent skew or fat-tail features in the density reflect how the market is pricing tail risk.
- How does HYG ATM IV translate to a probability range?
- ATM IV is annualized; multiplying by sqrt(t/365) scales it to the chosen tenor. Under lognormal assumptions, the resulting standard deviation defines the ±1σ band that contains roughly 68% of outcomes, ±2σ for 95%. Empirical equity returns have fatter tails than log-normal, so the implied tail probabilities under-state realized tail frequency in stressed regimes.