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Derivatives & Market Structure
5 min readUpdated Apr 12, 2026

Dealer Skew Positioning

ByConvex Research Desk·Edited byBen Bleier·
skew positioningdealer put positioningoptions skew flow

Dealer skew positioning measures the aggregate net exposure of market-making dealers from selling or buying skewed options contracts, influencing how they must hedge and how markets behave during stress periods.

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What Is Dealer Skew Positioning?

Dealer skew positioning refers to the net directional exposure that market-making dealers accumulate by intermediating the purchase and sale of out-of-the-money (OTM) options, particularly puts relative to calls, across major indices and single stocks. When institutional clients systematically buy downside put protection, dealers absorb the other side, creating a short skew position that forces them to dynamically hedge as volatility rises or markets decline. This is distinct from gamma exposure or delta exposure; skew positioning specifically captures the asymmetry in how dealers are positioned across the implied volatility surface, from the left tail (OTM puts) to the right tail (OTM calls).

The concept is intimately linked to the volatility skew, the observed phenomenon that OTM puts trade at higher implied volatility than equidistant OTM calls. Dealer skew positioning is a primary mechanical driver of this structural premium, because dealers demand compensation for the convex losses they face when markets gap lower. Critically, skew exposure interacts with vanna (the sensitivity of delta to changes in implied volatility) and volga (the sensitivity of vega to implied volatility), meaning that as markets sell off and implied volatility rises simultaneously, a short-skew dealer faces a double compounding of hedging demand, selling delta in a falling market while also buying back volatility exposure at precisely the worst moment.

Why It Matters for Traders

When dealers are heavily short skew, meaning they have sold OTM puts to institutional hedgers and are net short convexity at the wings, any rapid market decline forces accelerated delta hedging by selling underlying futures or equity. This mechanical flow amplifies drawdowns independent of fundamental catalysts. The dynamic was acutely visible during the March 2020 COVID crash: from February 24 to March 20, the S&P 500 fell approximately 34% in 17 trading sessions, with several days recording intraday swings exceeding 4–5%. The velocity of that decline was materially worsened by dealer hedging flows as 25-delta put skew on SPX exploded from roughly -3 vol points to nearly -12 vol points in under four weeks.

Conversely, when dealers are long skew, an unusual circumstance that can arise after major dislocation events when dealers have accumulated puts at distressed prices, they act as a stabilizing force, buying dips mechanically as delta hedging works in reverse. This stabilization dynamic was partially observable in late October 2022, when systematic dealer buying into the equity rally helped compress realized volatility even as macroeconomic uncertainty remained elevated. Understanding net skew positioning therefore gives traders an edge in anticipating non-linear market responses, distinguishing between shocks that will dissipate quickly and those that trigger self-reinforcing dealer hedging cascades.

How to Read and Interpret It

There is no single standardized public data source for dealer skew positioning, but sophisticated practitioners triangulate several signals:

  • 25-delta risk reversals: Extremely negative levels in SPX 25-delta risk reversals, below -5 vol points in normal regimes, or below -8 vol points in stressed environments, signal that dealer short-skew positioning is at levels where feedback loops become plausible. During the August 2015 China devaluation shock, 1-month SPX 25d RR briefly reached approximately -9 vol points.
  • Skew term structure shape: When front-month skew is materially steeper than 3-to-6-month skew, dealers are likely short skew in the near tenor, a configuration that warns of sharp, short-duration dislocations rather than prolonged bear markets.
  • CBOE SKEW Index: Readings above 140–145 indicate that the options market is pricing extreme tail risk, consistent with heavy institutional put-buying programs that dealers have absorbed. Sustained SKEW readings above 150, as seen in late 2021, can paradoxically signal complacency if the VIX remains suppressed, because it implies dealers are heavily short skew without the vol surface re-pricing the risk accordingly.
  • Put/call open interest by strike cluster: Concentration of open interest at deeply OTM put strikes (e.g., 85–90% of spot) in quarterly expirations points to structural institutional hedging programs, implying dealers carry persistent short skew inventory that will be tested in any meaningful drawdown.

Historical Context

The February 2018 Volmageddon event remains the canonical case study. As the VIX spiked from approximately 17 to 37 intraday on February 5, 2018, its largest single-session jump in history, dealers who had accumulated short-skew positions from writing volatility products faced forced delta and vanna hedging flows that mechanically amplified the move. Realized skew on the S&P 500 reached historically extreme levels, with 1-month 25-delta risk reversals briefly touching -10 vol points. The episode demonstrated how crowded dealer skew positioning transmits a relatively modest fundamental shock, a slightly above-consensus average hourly earnings print, into a structural market break and the complete unwind of the short-volatility complex.

More recently, the August 2024 carry trade unwind provided a fresh example. As the Japanese yen strengthened sharply in early August, triggering forced liquidation in global risk assets, SPX skew steepened dramatically within 48 hours, with the VIX touching an intraday high near 65 on August 5 before mean-reverting just as quickly. The speed of both the dislocation and the recovery was consistent with a market where dealer short-skew hedging first amplified the sell-off, then reversed as positions were closed and implied volatility collapsed back.

Limitations and Caveats

Dealer skew positioning is notoriously difficult to measure in real time. Proprietary estimates from prime brokerage desks diverge significantly, and OCC public options data lags by at least one session. Additionally, skew dynamics are frequently distorted by structured product issuance, particularly autocallable notes and contingent coupon products, which generate synthetic demand for upside calls and can create a misleading impression of balanced skew when underlying dealer risk is still asymmetric. Hedging behavior also varies significantly by dealer balance sheet constraints: during periods of tight leverage limits or elevated counterparty risk, dealers may widen bid-offer spreads on skew rather than absorb it, creating sudden pricing gaps that confound standard models. Finally, skew positioning signals are most reliable for index-level products; in single-stock options, idiosyncratic flows, earnings hedging, and M&A activity introduce noise that makes the framework much harder to apply cleanly.

What to Watch

  • The monthly trend in the CBOE SKEW Index relative to VIX: When SKEW rises while VIX falls, a divergence visible throughout much of 2021 and again in early 2024, dealers are likely absorbing increasing tail-risk hedging demand at compressed premium levels, building latent short-skew inventory.
  • Term structure of 25-delta risk reversals across SPX, QQQ, and IWM simultaneously: broad-based steepening across indices confirms systemic hedging demand rather than idiosyncratic sector flows.
  • Quarter-end and options expiration dates: Dealer skew books reset significantly around major expirations (especially March and December quarterly rolls), creating windows of reduced hedging pressure followed by rapid re-accumulation.
  • Flows into systematic tail-risk hedging programs, including LDI-related put buying during rate volatility spikes and pension rebalancing cycles, which represent some of the most consistent sources of structural dealer short-skew inventory.

Frequently Asked Questions

How does dealer skew positioning differ from dealer gamma positioning?
Dealer gamma positioning measures the sensitivity of a dealer's delta to moves in the underlying spot price, creating hedging flows that are symmetric around the current price level. Dealer skew positioning, by contrast, captures the asymmetry across the volatility surface — specifically the net exposure from OTM puts versus OTM calls — meaning its hedging implications are most powerful during tail events and large directional moves rather than small oscillations. In practice, the two signals are complementary: negative gamma amplifies intraday moves, while short skew positioning amplifies the volatility spike that accompanies those moves.
Can dealer skew positioning predict market crashes?
Dealer skew positioning is better understood as an amplification signal than a predictive one — it tells you how severe a sell-off is likely to become once triggered, rather than when a sell-off will start. Extreme short-skew dealer positioning, flagged by metrics like CBOE SKEW above 145 or deeply negative 25-delta risk reversals, means the market is structurally vulnerable to cascade selling if a catalyst emerges, but catalysts themselves are unpredictable. Traders use the signal to size tail hedges and reduce leverage during high-skew regimes rather than to time entry and exit points precisely.
What is the best publicly available proxy for dealer skew positioning?
The CBOE SKEW Index is the most widely cited public proxy, measuring the price of 30-day tail risk relative to at-the-money implied volatility, with higher readings indicating greater institutional demand for OTM puts and thus larger implied dealer short-skew inventory. Practitioners also monitor SPX 25-delta one-month risk reversal levels, available through Bloomberg or options chain data, as well as the slope of the VIX term structure for corroborating signals. No single metric is sufficient on its own; cross-referencing multiple signals reduces the noise from structured product distortions and episodic hedging flows.

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