What Is PNL? Forward Skew & Options Trading

Contents

• What Is PNL? Profit and Loss in Options Trading
• Implied Volatility and the Volatility Smile: The Foundation of Forward Skew
• What Is Forward Skew?
• What Causes Forward Skew? The Economic Rationale
• Forward Skew vs. Reverse Skew: Key Differences
• Where Forward Skew Appears: Commodities, Equities, and Crypto
• How Options PNL Is Decomposed: The Attribution Framework
• How Forward Skew Affects Your PNL: Mechanisms and a Worked Example
• How Traders Read and Use Forward Skew
• Key Takeaways: Forward Skew and PNL
• Frequently Asked Questions About Forward Skew and PNL

Your crude oil call options moved in the right direction. The price ticked up. Your PNL was still negative at market close, and you had no clean explanation for why.

This is one of the most disorienting experiences in options trading, and it happens more often than most beginner resources acknowledge. The underlying asset did what you expected. Your PNL did not follow. The culprit, in many cases, is forward skew: a shift in how implied volatility is distributed across strike prices that can quietly drain your position's value while the underlying price cooperates.

This guide explains what forward skew is, why it exists in commodity and crypto options markets, and precisely how it creates or destroys PNL through the vega and skew components of your position. By the end, you will have the vocabulary and the framework to stop being surprised by volatility-driven PNL swings.

What Is PNL? Profit and Loss in Options Trading

PNL stands for Profit and Loss, meaning the net financial gain or loss on a trading position or portfolio over a given time period. In trading, PNL is also written as P&L; both terms are identical in meaning. This article uses PNL throughout, which is the standard abbreviation in derivatives trading and crypto markets.

The critical thing to understand about options PNL is that it is not one-dimensional. Most traders begin by tracking PNL as a function of whether the underlying price moved in their favor. In reality, options PNL is driven by multiple risk factors simultaneously: the price of the underlying, changes in implied volatility, the passage of time, and shifts in the shape of the volatility curve. A position can lose money on two of those dimensions while gaining on one, producing a net loss even when the underlying price cooperated.

In crypto trading, PNL carries the same meaning but displays differently across platforms. Deribit, Bybit, and OKX typically show unrealized PNL as "uPNL" directly on the position dashboard. The underlying calculation is identical to traditional options markets.

Realized PNL vs. Unrealized PNL

Realized PNL is the gain or loss locked in when you close a position, representing actual cash flow that has settled in your account. If you bought a call option for $200 and sold it for $350, your realized PNL is +$150.

Unrealized PNL is the current mark-to-market value of an open position: what you would gain or lose if you closed it at current market prices right now. Mark-to-market (MTM) means valuing open positions at current market prices, so when forward skew shifts and options reprice, your MTM unrealized PNL changes immediately, before you close any position.

This is the mechanism through which forward skew affects your PNL in real time. A steepening of forward skew reprices OTM call options upward. If you hold those calls, the premium increase registers as a gain in your unrealized PNL before you take any action. The reverse is equally true: a flattening of forward skew lowers the premium of OTM calls, reducing your unrealized PNL even if the underlying price has not moved against you.

Implied Volatility and the Volatility Smile: The Foundation of Forward Skew

Implied volatility (IV) is the market-derived measure of expected future price movement that determines options pricing across all strike prices, and the volatility smile is the visual pattern IV creates when plotted against those strike prices. Both concepts must be understood before forward skew makes full sense.

What Is Implied Volatility?

Implied volatility (IV) is the market's forward-looking expectation of how much an asset's price will move over a given period, expressed as an annualized percentage and derived from current options market prices. IV differs from realized volatility, which is measured backward from actual historical price movements. IV reflects what the market expects; realized volatility records what actually happened.

A strike price is the predetermined price at which an option can be exercised. Options are classified by their relationship to the current underlying price: at-the-money (ATM) means the strike is near the current price; in-the-money (ITM) means the option already has intrinsic value; out-of-the-money (OTM) means the option would not be profitable if exercised right now. Forward skew specifically refers to OTM calls carrying higher IV than OTM puts, so the skew direction is always described relative to the ATM strike.

IV is not constant across all strike prices on the same underlying for the same expiry date. It varies, and that variation across strikes is what markets call the implied volatility skew. Higher IV at a given strike means a more expensive option premium at that strike.

The Volatility Smile and Volatility Surface

The volatility smile is the pattern that appears when you plot implied volatility on the vertical axis against strike prices on the horizontal axis for options on the same underlying and expiry date. In its symmetric form, both OTM calls and OTM puts carry higher IV than ATM options, producing a U-shaped curve that resembles a smile.

The Black-Scholes model, the standard options pricing formula, assumes that IV is flat across all strike prices. Real markets consistently violate this assumption. The volatility smile is the market's correction to the Black-Scholes flat-vol world, pricing in the risk that options at extreme strikes are more likely to be needed than a normal distribution would predict.

When the smile is asymmetric (IV is higher on one side than the other) it becomes a volatility skew. Forward skew and reverse skew are the two most common asymmetric shapes. The volatility surface extends this analysis across multiple expiry dates, showing how IV varies across both strike prices (the skew dimension) and time to expiry (the term structure dimension).

A diagram of this surface would show the X-axis as strike price running from OTM put through ATM to OTM call, the Y-axis as implied volatility percentage, and three representative curves: a flat horizontal line representing the Black-Scholes assumption, an upward-sloping curve representing forward skew, and a downward-sloping curve representing reverse skew. The forward skew curve sits above the flat line on the OTM call side; the reverse skew curve sits above the flat line on the OTM put side.

What Is Forward Skew?

Forward skew is a volatility skew pattern in options markets where implied volatility (IV) is higher for out-of-the-money (OTM) call options than for out-of-the-money put options on the same underlying and expiry date. On a volatility skew chart, forward skew appears as an upward-sloping implied volatility curve: IV rises as strike prices increase above the current market price.

Forward skew is the opposite of reverse skew, which is the dominant pattern in equity markets. It is sometimes called forward volatility skew, though this phrase should not be confused with "forward volatility" in the term structure sense, which refers to the volatility implied for a future period. Forward skew also differs from positive statistical skewness in return distributions; the two concepts share similar language but describe entirely different phenomena.

The mechanics work as follows. Starting from the at-the-money strike and moving to higher strike prices, IV increases. OTM calls (options with strikes above the current underlying price) carry a skew premium embedded in their option premium. This means OTM calls cost more than a flat-volatility pricing model would predict. An OTM call priced at 30% IV will cost more than an otherwise identical OTM call priced at 25% IV, and that premium difference is a direct function of where the skew positions that strike on the IV curve.

This skew premium matters for your PNL in two distinct ways. First, when you buy OTM calls in a forward skew market, you pay the skew premium as part of your entry cost. Second, if the skew subsequently changes (if forward skew steepens further or flattens) the mark-to-market value of your position changes accordingly, generating vega PNL and skew PNL even before the underlying price moves. The full mechanics of that PNL impact are covered in the PNL attribution framework and the worked example sections below.

Key Takeaway: Forward skew is present when OTM call options carry higher implied volatility than OTM put options for the same underlying and expiry. The IV curve slopes upward from left (OTM puts) to right (OTM calls). Forward skew is most prevalent in commodity and crypto options markets, where structural demand for upside protection persistently bids up OTM call IV above OTM put IV.

What Causes Forward Skew? The Economic Rationale

Forward skew is caused by structural demand for out-of-the-money call options from market participants who face asymmetric upward price risk and buy OTM calls as insurance against it. The direction of the skew reveals which type of price move the market most fears.

Commodity options markets (crude oil, natural gas, agricultural contracts) exhibit forward skew as a structural, persistent feature because commodity prices face asymmetric supply-side risk. A hurricane in the Gulf of Mexico, an OPEC production cut decision, a severe drought, or a geopolitical conflict in an oil-producing region can cause spot prices to spike violently upward in a short period. The market participants most exposed to these events are not retail traders. They are producers, refiners, airlines, food manufacturers, and energy utilities. These participants systematically buy OTM calls as insurance against supply disruption scenarios. A refiner that needs to buy crude oil at a fixed price cannot afford to be caught without upside protection when a supply shock drives prices 40% higher in two weeks. That structural, persistent demand for OTM calls bids up their IV relative to OTM puts, producing forward skew as a durable market condition rather than a temporary anomaly.

Cryptocurrency options exhibit a related but distinct driver. Bitcoin (BTC) and Ethereum (ETH) have historically produced explosive upside moves: halving cycle rallies, network upgrade catalysts, and institutional adoption waves that made OTM calls extraordinarily valuable in retrospect. During bull market phases, demand for OTM calls in crypto options pushes call IV above put IV, generating forward skew. The cryptocurrency options section below explains the phase-dependent nature of this pattern in more detail.

Equity markets tell the opposite story. Equity investors have experienced sudden, severe downside crashes (the 1987 Black Monday event, the 2008 financial crisis, the 2020 COVID selloff) and they systematically purchase OTM put options as portfolio protection against those scenarios. That persistent demand for downside protection bids up put IV relative to call IV, producing reverse skew as the structural norm in equity options.

In both commodity and equity cases, skew is not noise. It is the market pricing the asymmetric risk it fears most.

Key Takeaway: Forward skew in commodity markets reflects structural insurance-buying behavior. Producers, refiners, and industrial consumers buy OTM calls to hedge against sudden supply disruptions, persistently bidding up call IV above put IV. This is a rational, durable market structure, not a temporary anomaly. Skew is the market pricing the risk it fears most.

Forward Skew vs. Reverse Skew: Key Differences

Forward skew and reverse skew are the two most common asymmetric shapes of the implied volatility curve, and the direction of the skew tells you which side of a market is paying a structural insurance premium.

Pull up the S&P 500 options chain and a WTI crude oil options chain side by side, and the difference is immediately visible: equity options slope downward from OTM puts to OTM calls, while crude oil options slope upward. The structural insurance premium flows in opposite directions.

Reverse skew (also called put skew or negative skew) is the dominant pattern in equity options markets for a clear reason: equity markets fall faster than they rise, and investors have decades of evidence confirming this. The crashes of 1987, 2008, and 2020 demonstrated that equity prices can drop 30% to 50% in weeks when fear takes hold. Investors who hold equity portfolios know this and buy OTM puts as insurance. That structural demand lifts put IV above call IV across the equity options market.

The equity vs. commodity distinction maps directly to which side of the market is paying the insurance premium. In equity markets, put buyers pay the insurance premium, which elevates put IV. In commodity markets, call buyers pay the insurance premium, which elevates call IV. The skew direction follows the money.

Key Takeaway: Forward skew (OTM calls carry higher IV than OTM puts) is the structural norm in commodity and crypto options. Reverse skew (OTM puts carry higher IV than OTM calls) is the structural norm in equity options. The direction of the skew identifies which side of the market is paying a persistent insurance premium and which options are therefore more expensive than a flat-volatility model would suggest.

Where Forward Skew Appears: Commodities, Equities, and Crypto

Forward skew is a persistent structural feature of commodity options markets and appears frequently in cryptocurrency options during bull market phases. Equity options, by contrast, typically display reverse skew, as described in the forward skew vs. reverse skew comparison above.

Commodity Options: Crude Oil, Natural Gas, and Agricultural Markets

Commodity options on West Texas Intermediate (WTI) crude oil, Brent crude, natural gas, and agricultural contracts covering corn, soybeans, and wheat are among the most reliable venues for observing forward skew in practice.

Natural gas options provide a particularly clear example. Natural gas prices are notoriously sensitive to weather: an unusually cold winter or a summer heat wave can create demand spikes that outpace supply capacity within days. Natural gas producers and utilities buy OTM calls before winter heating seasons and summer cooling demand peaks because the cost of being exposed to a sudden price spike far exceeds the premium paid for protection. This persistent pre-seasonal buying is a textbook supply-shock insurance mechanism, and it keeps natural gas call IV structurally elevated above put IV.

WTI crude oil options show the same pattern, amplified by geopolitical risk. OPEC production decisions, conflicts in oil-producing regions, and sanctions on major producers can all move crude prices sharply higher with little warning. The hedging community in crude oil (airlines, refiners, shipping companies) maintains a structural long-call position that keeps forward skew present across most market conditions. Traders monitoring crude oil forward skew often watch open interest at high-strike calls, since heavy open interest at OTM call strikes signals structural hedging demand that reinforces the skew.

Cryptocurrency Options: Bitcoin, Ethereum, and Deribit

Bitcoin (BTC) and Ethereum (ETH) options traded on Deribit frequently exhibit forward skew during bull market phases, making crypto options one of the few retail-accessible asset classes where traders regularly encounter this pattern.

The economic rationale in crypto is demand-driven rather than supply-driven. Bitcoin options skew toward calls because BTC has produced several extraordinary upside moves: post-halving cycles, institutional adoption rallies, and macro risk-on periods that made OTM calls extraordinarily valuable in retrospect. Traders who missed previous bull cycles now buy OTM BTC calls and ETH options as instruments for capturing asymmetric upside exposure. During periods of strong bullish sentiment, this demand outweighs demand for downside protection, driving OTM call IV above OTM put IV and creating forward skew.

Crypto options markets are more volatile and less liquid than traditional commodity options markets, which means skew patterns can shift more rapidly. During bear market phases or periods of acute fear (exchange collapses, regulatory crackdowns, sharp drawdowns) demand for downside protection rises and can push put IV above call IV, flipping the skew from forward to reverse. Crypto traders who assume forward skew is always present will be caught off-guard when market phases turn. Monitoring the skew chart on Deribit actively, rather than assuming a static structure, is the appropriate approach for BTC options and ETH options positions.

How Options PNL Is Decomposed: The Attribution Framework

PNL attribution (also called PNL explain on professional trading desks) is the process of decomposing total options PNL into components, each driven by a separate risk factor. On a trading desk, the daily PNL explain process answers the question: where did each dollar of today's gain or loss come from? For retail traders, building this same diagnostic habit is the key to understanding why a position gained or lost money when the outcome was not what the underlying price movement alone would predict.

The Options Greeks and PNL Attribution

The four main options Greeks (delta, gamma, vega, and theta) each drive a distinct PNL component. Understanding which component is responsible for an unexpected gain or loss is the foundation of PNL attribution.

Professional options traders typically delta hedge their positions by buying or selling the underlying asset to neutralize directional exposure. For a delta-hedged book, the remaining PNL comes almost entirely from volatility-related factors, making vega PNL and skew PNL the dominant performance drivers.

Total unrealized PNL for an options position is approximately the sum of these components:

Total unrealized PNL ≈ Delta PNL + Gamma PNL + Vega PNL + Theta PNL + Skew PNL + residual

This decomposition answers the question from the introduction. When your crude oil calls moved in your favor on price but your PNL was still negative, the answer lies in the vega PNL and skew PNL rows of this table. The underlying price gave you positive delta PNL. But if forward skew compressed at the same time (if OTM call IV fell) your vega PNL and skew PNL went negative, and those losses outweighed the directional gain.

Vega PNL and Skew PNL: Where Forward Skew Lives

Vega PNL is the gain or loss on an options position attributable solely to changes in implied volatility level, independent of any move in the underlying asset price.

The conceptual formula is: Vega PNL ≈ Vega × ΔIV, where ΔIV is the change in implied volatility in percentage points. Vega measures how much the option's price changes for a 1-percentage-point change in IV. Multiply vega by the IV change to get the approximate vega PNL contribution from a parallel shift in the IV surface.

Skew PNL (also called vanna PNL) is a distinct and separate component. Skew PNL is the PNL component driven by changes in the slope of the volatility skew, not the level of IV, but its steepness across strikes. Vanna, the second-order Greek defined as dDelta/dVol, measures this sensitivity. When forward skew steepens (when OTM call IV rises faster than ATM IV) holders of long OTM calls gain skew PNL even if the overall level of implied volatility has not changed.

An analogy makes the distinction concrete. Vega PNL is like the tide rising for all boats: the entire IV surface moves up, and every long options position benefits from the level shift. Skew PNL is like one boat rising faster because the current flows specifically toward that strike: OTM call IV increases relative to ATM and OTM put IV, and only positions at those high-strike calls benefit from the slope change.

The practical implication: two long-call positions at different strikes can have identical vega but very different skew PNL exposure. The position at the OTM call strike is long forward skew; the position at or near ATM is far less sensitive to skew slope changes. This distinction is rarely explained clearly in options education resources, yet it is the mechanism that explains unexpected PNL outcomes in forward skew markets.

How Forward Skew Affects Your PNL: Mechanisms and a Worked Example

The scenario from the opening (crude oil calls moving in the right direction, PNL still negative) has a precise explanation: forward skew compressed while the underlying price rose, and the vega PNL loss outweighed the delta PNL gain.

A skew shift means the relative IV levels across strikes have changed: the slope of the volatility curve has steepened, flattened, or inverted. In a forward skew market, a steepening shift means OTM call IV has risen relative to OTM put IV, creating positive skew PNL for long OTM call holders. A flattening shift produces the opposite.

The mechanism from skew shift to PNL change works in four steps:

1. Forward skew shifts (steepens or flattens).
2. The implied volatility at specific OTM call strikes changes.
3. The option premium at those strikes reprices to reflect the new IV.
4. Your unrealized MTM PNL changes immediately on your position dashboard.

No trade needs to be executed. No underlying price movement needs to occur. The skew shift alone reprices your position.

Hypothetical illustrative scenario: Crude oil OTM calls

You hold 10 West Texas Intermediate crude oil call options at the $90 strike. WTI spot price is currently $85, so these calls are out-of-the-money by $5. Each option has a vega of $0.04 per barrel. Standard WTI crude oil options cover 1,000 barrels per contract.

A geopolitical supply disruption concern (rising tensions in a major oil-producing region) causes market participants to bid up OTM call IV. The forward skew steepens: IV at the $90 strike rises from 28% to 35%, a 7-percentage-point increase.

Vega PNL calculation:

0.04 × 7 × 1,000 × 10 = $2,800

Your position gains $2,800 in unrealized PNL purely from the forward skew steepening. Oil prices have not moved. No delta PNL was generated. The entire gain came from the IV increase at your strike: vega PNL driven by forward skew.

Now consider the reverse scenario. Instead of steepening, forward skew compresses: IV at the $90 strike falls from 28% to 22%, a 6-percentage-point decrease. This is what happened in the opening scenario, where the underlying price cooperated but your PNL went negative.

0.04 × 6 × 1,000 × 10 = $2,400

Your position loses $2,400 in unrealized PNL from the forward skew compression, even as delta PNL may be positive from the price move. If the price-driven delta PNL does not exceed $2,400, your net PNL is negative. This is the answer to "why did my call options lose money when the price went up?"

Identifying your skew exposure: Understanding whether your position is long or short forward skew requires only knowing what you hold. Long OTM calls means long forward skew; you gain when forward skew steepens and lose when it compresses. Short OTM calls means short forward skew; the reverse is true. Long OTM puts means long reverse skew. The position's skew sensitivity determines how much vega PNL and skew PNL exposure you carry into any market environment.

Key Takeaway: When forward skew steepens, long OTM call holders gain vega PNL as their options' IV rises and premiums increase, even before the underlying price moves. When skew compresses, those same positions lose PNL. Understanding your position's skew exposure (long or short forward skew) is as important as understanding its delta exposure for predicting PNL outcomes in commodity and crypto options markets.

How Traders Read and Use Forward Skew

A volatility skew chart plots IV against strike prices, and four reference points confirm whether forward skew is present and quantify how steep it is. Knowing how to read that chart and what your skew exposure means for your position transforms theoretical knowledge into practical awareness.

How to Read a Volatility Skew Chart

A volatility skew chart plots implied volatility on the vertical axis against strike prices on the horizontal axis, and four reference points tell you everything you need to confirm whether forward skew is present.

1. Identify the axes. The horizontal axis shows strike prices, typically expressed as delta values: ranging from 25-delta puts (far left, OTM puts) through ATM to 25-delta calls (far right, OTM calls). The vertical axis shows implied volatility as a percentage.
2. Read the slope direction. In a forward skew environment, the IV line slopes upward from left to right. OTM calls on the right side of the chart sit at higher IV levels than OTM puts on the left.
3. Measure the magnitude. Compare the IV at a 25-delta call against the IV at a 25-delta put. If 25-delta call IV is higher than 25-delta put IV, forward skew is confirmed. The size of the difference quantifies how steep the skew is.
4. Track changes over time. A single skew reading is informative; a time series of skew readings reveals whether skew is steepening, flattening, or stable, and those changes are what drive skew PNL.

For your OTM call positions, forward skew on the chart means you paid a premium that includes the skew markup. Your long OTM call position is effectively long skew: you benefit when this premium increases and lose when it compresses. Watching the 25-delta call vs. 25-delta put IV differential over time gives you a live measure of your skew PNL exposure.

Trading Forward Skew: Risk Reversals and Skew Strategies

A risk reversal is the simultaneous purchase of an OTM call and sale of an OTM put on the same underlying and expiry date, and it is the primary structure traders use to express a view on forward skew. (In foreign exchange markets, "risk reversal" is also used as a sentiment gauge measuring the IV differential between OTM calls and puts; here, the options strategy definition applies.)

In a forward skew environment, the OTM call costs more than the OTM put (put-call parity ensures the relationship remains arbitrage-free, but the skew premium is embedded in the relative pricing). Buying the call and selling the put in a forward skew market therefore costs a net debit. The steeper the forward skew, the larger the net debit required to enter a long risk reversal. The net cost of the risk reversal is a direct, real-time measure of how much forward skew the market is pricing at that moment.

Traders who want to express a view on forward skew use risk reversals because the position's PNL is almost entirely driven by changes in skew rather than by the underlying price direction. When forward skew steepens after you establish a long risk reversal, the position gains skew PNL. When forward skew compresses, the position loses. Traders monitoring forward skew often watch open interest at high-strike calls alongside the skew chart, since heavy open interest at OTM call strikes can signal structural hedging demand that reinforces or amplifies forward skew.

Traders who believe forward skew is historically elevated may sell OTM calls (going short forward skew) or enter short risk reversals to profit from a normalization. Traders who believe skew is compressed relative to historical levels may go long via OTM calls or long risk reversals. Advanced skew strategies including ratio spreads, skew spreads, and calendar skew trades go beyond the scope of this article; they require dedicated coverage of multi-leg structure mechanics and Greeks interaction.

Key Takeaways: Forward Skew and PNL

The relationship between forward skew and options PNL can be summarized across seven core principles that apply whether you trade commodity, equity, or crypto options.

• PNL in options is multi-dimensional. Total unrealized PNL is the sum of delta PNL, gamma PNL, vega PNL, skew PNL, and theta PNL. A position can lose money on volatility dimensions even when the underlying price moves favorably.
• Forward skew is an IV pattern, not a price pattern. It describes the shape of the implied volatility curve across strike prices, specifically OTM calls carrying higher IV than OTM puts for the same underlying and expiry.
• The market direction of the skew follows the insurance premium. Commodity and crypto options typically show forward skew (call buyers pay the insurance premium). Equity options typically show reverse skew (put buyers pay the insurance premium).
• Vega PNL and skew PNL are distinct components. Vega PNL comes from parallel shifts in the IV level. Skew PNL comes from changes in the slope of the IV curve across strikes. Both can be positive or negative independent of the underlying price.
• PNL attribution is the diagnostic tool. When a position generates unexpected gains or losses, decomposing total PNL into its Greek-driven components reveals which factor was responsible. The answer is often vega PNL or skew PNL, not delta PNL.
• Risk reversals are the primary skew instrument. A long risk reversal (long OTM call, short OTM put) is long forward skew. Its net cost reflects the current magnitude of forward skew in the market.
• Crypto skew is dynamic and phase-dependent. Bitcoin and Ethereum options frequently exhibit forward skew in bull market phases but can shift to flat or reverse skew in bear phases or fear periods. Monitoring skew actively on Deribit is more reliable than assuming a fixed skew direction.

Frequently Asked Questions About Forward Skew and PNL

What is PNL in trading?

PNL stands for Profit and Loss, the net financial gain or loss on a trading position or portfolio. In options trading, PNL is decomposed into components driven by different risk factors: delta PNL from underlying price moves, vega PNL from implied volatility changes, skew PNL from changes in the slope of the IV curve, theta PNL from time decay, and gamma PNL from the curvature of the options payoff. Understanding which component is responsible for a PNL change is the key to diagnosing unexpected gains or losses.

What is forward skew in options?

Forward skew is a volatility skew pattern where out-of-the-money call options carry higher implied volatility than out-of-the-money put options for the same underlying and expiry date. On a skew chart, it appears as an upward-sloping implied volatility curve across strike prices. Forward skew is most common in commodity and cryptocurrency options markets, where structural demand for OTM calls from supply-shock hedgers and traders seeking amplified upside exposure persistently elevates call IV above put IV.

What is the difference between forward skew and reverse skew?

Forward skew occurs when OTM calls carry higher IV than OTM puts, a pattern common in commodity and crypto markets where supply disruption fear or upside demand is elevated. Reverse skew (also called put skew or negative skew) occurs when OTM puts carry higher IV than OTM calls, a pattern common in equity markets where investors buy downside protection against crash risk. The direction of the skew tells you which side of the market is paying the structural insurance premium at any given time.

Why do commodity options have forward skew?

Market participants in commodity markets (producers, refiners, airlines, food manufacturers) structurally buy OTM calls as insurance against sudden supply disruptions. Events like OPEC production cuts, extreme weather, or geopolitical conflicts can cause commodity prices to spike sharply upward. This persistent demand for OTM call protection bids up their implied volatility above OTM put IV, creating forward skew as a structural, enduring feature of commodity options markets rather than a temporary condition.

How does volatility skew affect options pricing?

Each strike price has its own IV, and higher IV means a more expensive option premium. In a forward skew market, OTM calls carry higher IV than OTM puts, making them more expensive than a flat-volatility model would price them. When skew shifts (IV rises or falls at specific strikes) the premiums of those options reprice immediately, generating unrealized PNL gains or losses on open positions before any underlying price move occurs.

What is vega PNL?

Vega PNL is the gain or loss on an options position attributable solely to changes in the level of implied volatility, independent of any move in the underlying asset price. The calculation is: Vega PNL ≈ Vega × Change in IV (in percentage points). When forward skew shifts and OTM call IV rises, long OTM call holders gain positive vega PNL. When IV falls at those strikes, those same holders lose vega PNL, and those losses can offset or exceed directional gains from delta PNL, explaining why call options can lose money even when the underlying price rises.

How do you calculate PNL on options?

For realized PNL: subtract the purchase price from the sale price and multiply by the number of contracts and the contract multiplier. For unrealized PNL: subtract the entry cost from the current market value of the position. For options specifically, the current market value is determined by all the Greeks working simultaneously: total unrealized PNL ≈ Delta PNL + Gamma PNL + Vega PNL + Theta PNL + Skew PNL + residual. In forward skew markets, the vega PNL and skew PNL components can dominate total PNL, overriding a favorable directional move and producing a net loss even when the underlying price cooperated.

Why do equity options have negative (reverse) skew?

Historical crash events drive the structural demand for downside protection that creates reverse skew. The 1987 Black Monday crash, the 2008 financial crisis, and the 2020 COVID selloff demonstrated that equity markets can fall sharply and suddenly. Investors who hold equity portfolios systematically buy OTM put options as protection against these scenarios. This persistent structural demand bids up OTM put implied volatility above OTM call IV, creating the characteristic downward-sloping skew curve that defines reverse skew in equity options markets.

How does skew affect a risk reversal?

A risk reversal (long OTM call, short OTM put) in a forward skew environment costs a net debit because the OTM call carries higher IV and therefore a higher premium than the OTM put. The steeper the forward skew, the larger the net debit required to enter the position. When forward skew intensifies after entry, the value of the long risk reversal increases, generating positive skew PNL. When skew compresses, the position loses value. The net cost of the risk reversal at entry is a direct measure of how much forward skew the market is pricing at that moment.

Why do crypto options exhibit forward skew?

Crypto options on Bitcoin and Ethereum frequently exhibit forward skew during bull market phases because traders aggressively buy OTM calls as instruments for capturing asymmetric upside exposure. BTC halving cycles, ETH network upgrade rallies, and institutional adoption waves have historically produced explosive upside moves, making OTM calls highly valued. Crypto skew is dynamic, however: during bear phases or periods of acute fear, the pattern can shift to flat or reverse skew as demand for downside protection rises relative to demand for upside calls.

This article is for educational and informational purposes only and does not constitute investment, financial, or trading advice. Options trading involves significant risk and may not be suitable for all investors. Past performance is not indicative of future results. Consult a qualified financial professional before making any trading decisions.