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 $33.33B, listed on AMEX, carrying a beta of 1.34 to the broader market. This exchange-traded fund (ETF) is engineered to closely mirror the financial performance of an underlying index. public since 2002-07-30.
Snapshot as of Aug 28, 2026.
- Spot Price
- $106.34
- ATM IV
- 5.4%
- IV Rank
- 10.5%
- IV Percentile
- 9.9%
- HV 20-Day
- 5.5%
- IV Skew 25Δ
- 0.010
As of Aug 28, 2026, iShares iBoxx $ Investment Grade Corporate Bond ETF (LQD) at $106.34 has an ATM IV of 5.4%, implying a 30-day one-standard-deviation range of approximately ±$1.64. IV rank is 10.5% (subdued, distribution priced tighter than usual). IV percentile is 9.9%. The 25-delta skew is +0.010: 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 5.4% 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 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 5.4% and spot at $106.34, the 1σ band is approximately ±1.9% over a 30-day horizon. Recent realized HV-20 of 5.5% runs 0.2 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 10.5%, 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 highest implied-volatility contracts
| Type | Strike | Expiration | Volume | OI | IV | Bid | Ask |
|---|---|---|---|---|---|---|---|
| PUT | $105.00 | Sep 18, 2026 | 41.0K | 93.2K | 5.6% | $0.18 | $0.21 |
| PUT | $105.00 | Sep 18, 2026 | 41.0K | 93.2K | 5.6% | $0.18 | $0.21 |
| PUT | $103.00 | Sep 18, 2026 | 40.0K | 61.3K | 5.7% | $0.04 | $0.05 |
| PUT | $106.00 | Sep 18, 2026 | 115 | 45.9K | 5.2% | $0.48 | $0.54 |
| PUT | $107.00 | Sep 18, 2026 | 2 | 42.5K | 4.8% | $1.06 | $1.15 |
Top 5 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 Aug 28, 2026, with LQD at $106.34 and ATM IV at 5.4%, the implied 30-day one-standard-deviation range is approximately ±$1.64, or about $104.70 to $107.98. 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.