Curtiss-Wright Corporation (CW) 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.
Curtiss-Wright Corporation (CW) operates in the Industrials sector, specifically the Aerospace & Defense industry, with a market capitalization near $27.43B, listed on NYSE, employing roughly 8,900 people, carrying a beta of 0.86 to the broader market. Curtiss-Wright Corporation, together with its subsidiaries, provides engineered products, solutions, and services to the aerospace, defense, general industrial, and power generation markets worldwide. Led by Lynn Bamford, public since 1980-03-17.
Snapshot as of May 29, 2026.
- Spot Price
- $742.35
- ATM IV
- 37.8%
- IV Rank
- 43.9%
- IV Percentile
- 68.3%
- HV 20-Day
- 27.4%
- IV Skew 25Δ
- 0.045
As of May 29, 2026, Curtiss-Wright Corporation (CW) at $742.35 has an ATM IV of 37.8%, implying a 30-day one-standard-deviation range of approximately ±$80.45. IV rank is 43.9% (near its 1-year median). IV percentile is 68.3%. The 25-delta skew is +0.045: 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 CW probability analysis Data Feeds Strategy Selection
Strategy selection on Curtiss-Wright Corporation 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 37.8% 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 CW probability distribution
The probability cone above is the option-market-implied distribution of where Curtiss-Wright Corporation 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 37.8% and spot at $742.35, the 1σ band is approximately ±13.0% over a 30-day horizon. Recent realized HV-20 of 27.4% runs 10.4 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.
CW 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 CW 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. 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 →
CW highest implied-volatility contracts
| Type | Strike | Expiration | Volume | OI | IV | Bid | Ask |
|---|---|---|---|---|---|---|---|
| PUT | $700.00 | Jun 18, 2026 | 1 | 405 | 40.0% | $8.00 | $12.80 |
Top 1 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.
Frequently asked CW probability analysis questions
- What is the CW 30-day expected price range?
- As of May 29, 2026, with CW at $742.35 and ATM IV at 37.8%, the implied 30-day one-standard-deviation range is approximately ±$80.45, or about $661.90 to $822.80.
- What does CW risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future CW 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 CW 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.