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 $17.60B, listed on AMEX, carrying a beta of 0.67 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 Oct 14, 2026.

Spot Price
$76.81
ATM IV
6.3%
IV Rank
1.2%
IV Percentile
84.9%
HV 20-Day
4.6%
IV Skew 25Δ
0.039

As of Oct 14, 2026, iShares iBoxx $ High Yield Corporate Bond ETF (HYG) at $76.81 has an ATM IV of 6.3%, implying a 30-day one-standard-deviation range of approximately ±$1.39. IV rank is 1.2% (subdued, distribution priced tighter than usual). IV percentile is 84.9%. The 25-delta skew is +0.039: 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 6.3% 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 6.3% and spot at $76.81, the 1σ band is approximately ±2.2% over a 30-day horizon. Recent realized HV-20 of 4.6% runs 1.7 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 1.2%, 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)6%8%10%12%$70$72$74$76$78Strike ($)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$75.00Feb 19, 2027210.0K98.5K7.7%$0.76$0.89
PUT$75.00Dec 18, 2026204.4K772.1K8.7%$0.52$0.57
PUT$75.00Dec 18, 2026204.4K772.1K8.7%$0.52$0.57
PUT$77.00Oct 16, 202632.9K248.5K6.4%$0.24$0.26
PUT$75.00Dec 18, 2026204.4K772.1K8.7%$0.52$0.57
PUT$77.00Nov 20, 202658.1K312.6K5.9%$0.73$0.79
PUT$77.00Nov 20, 202658.1K312.6K5.9%$0.73$0.79
PUT$75.00Nov 20, 202663.0K233.9K9.4%$0.24$0.28
PUT$78.00Nov 20, 20261.9K251.8K5.2%$1.40$1.54
PUT$77.00Oct 16, 202632.9K248.5K6.4%$0.24$0.26

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 Oct 14, 2026, with HYG at $76.81 and ATM IV at 6.3%, the implied 30-day one-standard-deviation range is approximately ±$1.39, or about $75.42 to $78.20. 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.