What is the PG 30-day expected price range?

As of Oct 14, 2026, with PG at $156.07 and ATM IV at 23.1%, the implied 30-day one-standard-deviation range is approximately ±$10.34, or about $145.73 to $166.41.

What does PG risk-neutral density tell us?

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

The Procter & Gamble Company (PG) 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.

The Procter & Gamble Company (PG) operates in the Consumer Defensive sector, specifically the Household & Personal Products industry, with a market capitalization near $363.83B, listed on NYSE, employing roughly 104,000 people, carrying a beta of 0.38 to the broader market. The Procter & Gamble Company, commonly referred to as P&G, is a global enterprise that supplies a broad spectrum of branded consumer products to markets worldwide. Led by Shailesh G. Jejurikar, public since 1978-01-13.

Snapshot as of Oct 14, 2026.

Spot Price: $156.07
ATM IV: 23.1%
IV Rank: 50.2%
IV Percentile: 73.4%
HV 20-Day: 18.0%
IV Skew 25Δ: 0.014

As of Oct 14, 2026, The Procter & Gamble Company (PG) at $156.07 has an ATM IV of 23.1%, implying a 30-day one-standard-deviation range of approximately ±$10.34. IV rank is 50.2% (near its 1-year median). IV percentile is 73.4%. The 25-delta skew is +0.014: 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 PG probability analysis Data Feeds Strategy Selection

Strategy selection on The Procter & Gamble 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 23.1% 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 PG probability distribution

The probability cone above is the option-market-implied distribution of where The Procter & Gamble 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 23.1% and spot at $156.07, the 1σ band is approximately ±8.0% over a 30-day horizon. Recent realized HV-20 of 18.0% runs 5.1 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

PG 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 PG 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 →

Chart aggregates top-ranked contracts by strike from the institutional-grade nightly options scan. Sparse coverage on long-tail tickers reflects the scan's S&P 500/400/600 + ETF focus.

PG highest implied-volatility contracts

Type	Strike	Expiration	Volume	OI	IV	Bid	Ask
CALL	$160.00	Nov 13, 2026	3.0K	269	22.7%	$1.97	$2.56
CALL	$155.00	Oct 16, 2026	853	10.9K	23.3%	$1.66	$1.81

Top 2 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.

Frequently asked PG probability analysis questions

What is the PG 30-day expected price range?: As of Oct 14, 2026, with PG at $156.07 and ATM IV at 23.1%, the implied 30-day one-standard-deviation range is approximately ±$10.34, or about $145.73 to $166.41.
What does PG risk-neutral density tell us?: Risk-neutral density is the probability distribution of future PG 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 PG 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.