iShares iBoxx $ Investment Grade Corporate Bond ETF (LQD) 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 $ Investment Grade Corporate Bond ETF (LQD) operates in the Financial Services sector, specifically the Asset Management - Bonds industry, with a market capitalization near $30.96B, listed on AMEX, carrying a beta of 1.34 to the broader market. The iShares iBoxx $ Investment Grade Corporate Bond ETF seeks to track the investment results of an index composed of U. public since 2002-07-30.

Snapshot as of May 29, 2026.

Spot Price
$109.30
ATM IV
5.8%
IV Rank
16.7%
IV Percentile
20.6%
HV 20-Day
6.2%
IV Skew 25Δ
0.009

As of May 29, 2026, iShares iBoxx $ Investment Grade Corporate Bond ETF (LQD) at $109.30 has an ATM IV of 5.8%, implying a 30-day one-standard-deviation range of approximately ±$1.82. IV rank is 16.7% (subdued, distribution priced tighter than usual). IV percentile is 20.6%. The 25-delta skew is +0.009: 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 LQD probability analysis Data Feeds Strategy Selection

Strategy selection on iShares iBoxx $ Investment Grade 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 5.8% and dealer gamma exposure is positive, so dealer hedging is mechanically mean-reverting. 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 LQD probability distribution

The probability cone above is the option-market-implied distribution of where iShares iBoxx $ Investment Grade 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 5.8% and spot at $109.30, the 1σ band is approximately ±2.0% over a 30-day horizon. Recent realized HV-20 of 6.2% runs 0.4 vol points above current implied, an inverted regime where premium buyers are underpaying.

LQD 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 LQD 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 LQD IV rank at 16.7%, 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 →

LQD implied volatility by strike, top contracts ranked by IV in the nightly options scanLQD Implied Volatility Skew (Top Contracts)6%6%6%6%6%$108$109$109$110$110Strike ($)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.

LQD highest implied-volatility contracts

TypeStrikeExpirationVolumeOIIVBidAsk
CALL$109.00Jun 18, 20261355.4K5.7%$0.60$0.66
PUT$108.00Jun 18, 202618546.6K6.4%$0.27$0.31
CALL$110.00Jun 18, 20265.7K48.1K5.6%$0.19$0.23
PUT$110.00Jun 18, 2026041.8K5.6%$1.17$1.25
CALL$110.00Aug 21, 20262176.6K6.4%$0.76$0.88
PUT$109.00Jun 18, 202650726.5K5.7%$0.57$0.61

Top 6 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.

Frequently asked LQD probability analysis questions

What is the LQD 30-day expected price range?
As of May 29, 2026, with LQD at $109.30 and ATM IV at 5.8%, the implied 30-day one-standard-deviation range is approximately ±$1.82, or about $107.48 to $111.12. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
What does LQD risk-neutral density tell us?
Risk-neutral density is the probability distribution of future LQD 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 LQD 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.