Abercrombie & Fitch Co. (ANF) 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.
Abercrombie & Fitch Co. (ANF) operates in the Consumer Cyclical sector, specifically the Apparel - Retail industry, with a market capitalization near $6.59B, listed on NYSE, employing roughly 43,200 people, carrying a beta of 0.92 to the broader market. Abercrombie & Fitch Co. Led by Fran Horowitz, public since 1996-09-26.
Snapshot as of Aug 28, 2026.
- Spot Price
- $147.81
- ATM IV
- 46.4%
- IV Rank
- 14.4%
- IV Percentile
- 6.3%
- HV 20-Day
- 124.6%
- IV Skew 25Δ
- -0.035
As of Aug 28, 2026, Abercrombie & Fitch Co. (ANF) at $147.81 has an ATM IV of 46.4%, implying a 30-day one-standard-deviation range of approximately ±$19.66. IV rank is 14.4% (subdued, distribution priced tighter than usual). IV percentile is 6.3%. The 25-delta skew is -0.035: downside tail priced richer than upside, biasing probability mass below 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 ANF probability analysis Data Feeds Strategy Selection
Strategy selection on Abercrombie & Fitch Co. 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 46.4% 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 ANF probability distribution
The probability cone above is the option-market-implied distribution of where Abercrombie & Fitch Co. 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 46.4% and spot at $147.81, the 1σ band is approximately ±16.0% over a 30-day horizon. Recent realized HV-20 of 124.6% runs 78.2 vol points above current implied, an inverted regime where premium buyers are underpaying.
ANF 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. ANF's put-skewed 25-delta surface (-0.035) means downside risk-neutral probabilities are higher than upside - the empirical bias is well-documented. 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 ANF 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 ANF IV rank at 14.4%, 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 →
ANF highest implied-volatility contracts
| Type | Strike | Expiration | Volume | OI | IV | Bid | Ask |
|---|---|---|---|---|---|---|---|
| CALL | $150.00 | Sep 4, 2026 | 1.3K | 488 | 48.7% | $2.75 | $3.30 |
| CALL | $160.00 | Sep 4, 2026 | 1.7K | 641 | 51.8% | $0.70 | $0.85 |
| PUT | $140.00 | Sep 18, 2026 | 80 | 3.1K | 45.5% | $2.80 | $3.30 |
| CALL | $160.00 | Sep 4, 2026 | 1.7K | 641 | 51.8% | $0.70 | $0.85 |
| CALL | $150.00 | Sep 4, 2026 | 1.3K | 488 | 48.7% | $2.75 | $3.30 |
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 ANF probability analysis questions
- What is the ANF 30-day expected price range?
- As of Aug 28, 2026, with ANF at $147.81 and ATM IV at 46.4%, the implied 30-day one-standard-deviation range is approximately ±$19.66, or about $128.15 to $167.47. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does ANF risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future ANF 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 ANF 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.