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 $16.78B, listed on AMEX, carrying a beta of 0.66 to the broader market. The iShares iBoxx $ High Yield Corporate Bond ETF aims to replicate the performance of a specific market benchmark. public since 2007-04-11.

Snapshot as of Jul 15, 2026.

Spot Price
$79.81
ATM IV
3.4%
IV Rank
0.4%
IV Percentile
3.2%
HV 20-Day
3.0%
IV Skew 25Δ
0.024

As of Jul 15, 2026, iShares iBoxx $ High Yield Corporate Bond ETF (HYG) at $79.81 has an ATM IV of 3.4%, implying a 30-day one-standard-deviation range of approximately ±$0.78. IV rank is 0.4% (subdued, distribution priced tighter than usual). IV percentile is 3.2%. The 25-delta skew is +0.024: upside tail priced richer than downside, biasing probability mass above spot. 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 3.4% 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 3.4% and spot at $79.81, the 1σ band is approximately ±1.2% over a 30-day horizon. Recent realized HV-20 of 3.0% runs 0.4 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

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 0.4%, 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 implied volatility by strike, top contracts ranked by IV in the nightly options scanHYG Implied Volatility Skew (Top Contracts)2%4%6%8%10%$70$72$74$76$78$80Strike ($)Implied VolatilityCall IVPut IV
Chart aggregates top-ranked contracts by strike from the institutional-grade nightly options scan. Sparse coverage on long-tail tickers reflects the scan's S&P 500/400/600 + ETF focus.

HYG highest implied-volatility contracts

TypeStrikeExpirationVolumeOIIVBidAsk
PUT$75.00Dec 18, 202610.0K446.6K8.3%$0.36$0.48
CALL$81.00Nov 20, 20260329.5K3.8%$0.05$0.25
PUT$80.00Jul 17, 20267493.1K1.6%$0.15$0.29
PUT$78.00Aug 21, 20269.8K286.2K6.3%$0.08$0.13
PUT$79.00Aug 21, 202619.3K281.5K4.3%$0.23$0.25
PUT$80.00Sep 18, 20261.4K276.0K3.5%$0.80$0.86
PUT$79.00Aug 21, 202619.3K281.5K4.3%$0.23$0.25
PUT$80.00Sep 18, 20261.4K276.0K3.5%$0.80$0.86
CALL$80.00Aug 21, 20269.6K148.1K3.4%$0.15$0.18
PUT$72.00Sep 18, 2026566217.1K11.6%$0.01$0.12

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 Jul 15, 2026, with HYG at $79.81 and ATM IV at 3.4%, the implied 30-day one-standard-deviation range is approximately ±$0.78, or about $79.03 to $80.59. 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.