Ford Motor Company (F) 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.

Ford Motor Company (F) operates in the Consumer Cyclical sector, specifically the Auto - Manufacturers industry, with a market capitalization near $62.15B, listed on NYSE, employing roughly 170,000 people, carrying a beta of 1.66 to the broader market. Ford Motor Company develops, delivers, and services a range of Ford trucks, commercial cars and vans, sport utility vehicles, and Lincoln luxury vehicles worldwide. Led by James Duncan Farley Jr., public since 1972-06-01.

Snapshot as of May 29, 2026.

Spot Price

$17.54

ATM IV

48.9%

IV Rank

100.0%

IV Percentile

100.0%

HV 20-Day

71.6%

IV Skew 25Δ

-0.055

As of May 29, 2026, Ford Motor Company (F) at $17.54 has an ATM IV of 48.9%, implying a 30-day one-standard-deviation range of approximately ±$2.46. IV rank is 100.0% (elevated, distribution priced wider than typical). IV percentile is 100.0%. The 25-delta skew is -0.055: 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 F probability analysis Data Feeds Strategy Selection

Strategy selection on Ford Motor Company 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 48.9% 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 F probability distribution

The probability cone above is the option-market-implied distribution of where Ford Motor Company 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 48.9% and spot at $17.54, the 1σ band is approximately ±16.9% over a 30-day horizon. Recent realized HV-20 of 71.6% runs 22.7 vol points above current implied, an inverted regime where premium buyers are underpaying.

F 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. F's put-skewed 25-delta surface (-0.055) 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 F 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 F IV rank at 100.0%, the chain is pricing fatter tails than recent realized history; sellers earn the gap on average. 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 →

F highest implied-volatility contracts

Top 9 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.

Frequently asked F probability analysis questions

What is the F 30-day expected price range?

As of May 29, 2026, with F at $17.54 and ATM IV at 48.9%, the implied 30-day one-standard-deviation range is approximately ±$2.46, or about $15.08 to $20.00. IV rank is elevated, so the priced distribution is wider than the 1-year typical width.

What does F risk-neutral density tell us?

Risk-neutral density is the probability distribution of future F 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 F 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.