What is the PRKS 30-day expected price range?

As of Aug 28, 2026, with PRKS at $42.41 and ATM IV at 179.8%, the implied 30-day one-standard-deviation range is approximately ±$21.86, or about $20.55 to $64.27.

What does PRKS risk-neutral density tell us?

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

United Parks & Resorts Inc. (PRKS) 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.

United Parks & Resorts Inc. (PRKS) operates in the Consumer Cyclical sector, specifically the Leisure industry, with a market capitalization near $2.00B, listed on NYSE, employing roughly 3,300 people, carrying a beta of 1.16 to the broader market. United Parks & Resorts Inc. Led by Marc G. Swanson, public since 2013-04-19.

Snapshot as of Aug 28, 2026.

Spot Price: $42.41
ATM IV: 179.8%
IV Rank: 33.8%
IV Percentile: 98.0%
HV 20-Day: 31.3%
IV Skew 25Δ: -0.058

As of Aug 28, 2026, United Parks & Resorts Inc. (PRKS) at $42.41 has an ATM IV of 179.8%, implying a 30-day one-standard-deviation range of approximately ±$21.86. IV rank is 33.8% (near its 1-year median). IV percentile is 98.0%. The 25-delta skew is -0.058: 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 PRKS probability analysis Data Feeds Strategy Selection

Strategy selection on United Parks & Resorts 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 179.8% 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 PRKS probability distribution

The probability cone above is the option-market-implied distribution of where United Parks & Resorts 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 179.8% and spot at $42.41, the 1σ band is approximately ±62.0% over a 30-day horizon. Recent realized HV-20 of 31.3% runs 148.5 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

PRKS 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. PRKS's put-skewed 25-delta surface (-0.058) 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 PRKS 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.

PRKS highest implied-volatility contracts

Type	Strike	Expiration	Volume	OI	IV	Bid	Ask
CALL	$45.00	Sep 18, 2026	0	7.0K	180.2%	$0.10	$2.45
CALL	$40.00	Sep 18, 2026	1	3.0K	179.8%	$2.45	$4.70

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 PRKS probability analysis questions

What is the PRKS 30-day expected price range?: As of Aug 28, 2026, with PRKS at $42.41 and ATM IV at 179.8%, the implied 30-day one-standard-deviation range is approximately ±$21.86, or about $20.55 to $64.27.
What does PRKS risk-neutral density tell us?: Risk-neutral density is the probability distribution of future PRKS 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 PRKS 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.