What is the CPS 30-day expected price range?

As of May 29, 2026, with CPS at $30.38 and ATM IV at 48.4%, the implied 30-day one-standard-deviation range is approximately ±$4.22, or about $26.16 to $34.60. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.

What does CPS risk-neutral density tell us?

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

Cooper-Standard Holdings Inc. (CPS) 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.

Cooper-Standard Holdings Inc. (CPS) operates in the Consumer Cyclical sector, specifically the Auto - Parts industry, with a market capitalization near $538.0M, listed on NYSE, employing roughly 22,000 people, carrying a beta of 2.00 to the broader market. Cooper-Standard Holdings Inc. Led by Jeffrey S. Edwards, public since 2010-05-25.

Snapshot as of May 29, 2026.

Spot Price: $30.38
ATM IV: 48.4%
IV Rank: 2.1%
IV Percentile: 5.6%
HV 20-Day: 62.5%
IV Skew 25Δ: 0.076

As of May 29, 2026, Cooper-Standard Holdings Inc. (CPS) at $30.38 has an ATM IV of 48.4%, implying a 30-day one-standard-deviation range of approximately ±$4.22. IV rank is 2.1% (subdued, distribution priced tighter than usual). IV percentile is 5.6%. The 25-delta skew is +0.076: 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 CPS probability analysis Data Feeds Strategy Selection

Strategy selection on Cooper-Standard Holdings Inc. 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 48.4% 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 CPS probability distribution

The probability cone above is the option-market-implied distribution of where Cooper-Standard Holdings Inc. 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 48.4% and spot at $30.38, the 1σ band is approximately ±16.7% over a 30-day horizon. Recent realized HV-20 of 62.5% runs 14.1 vol points above current implied, an inverted regime where premium buyers are underpaying.

CPS 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 CPS 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 CPS IV rank at 2.1%, 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 →

Frequently asked CPS probability analysis questions

What is the CPS 30-day expected price range?: As of May 29, 2026, with CPS at $30.38 and ATM IV at 48.4%, the implied 30-day one-standard-deviation range is approximately ±$4.22, or about $26.16 to $34.60. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
What does CPS risk-neutral density tell us?: Risk-neutral density is the probability distribution of future CPS 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 CPS 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.