Dissident Thoughts

To cover this rapidly accelerating Delta, Gamma, Vega, and Vanna positioning, dealers are forced to aggressively buy both the underlying asset and volatility. This collective buying pressure is what fuels the "spot up, vol up" regime. 2. How to hedge the long Put Down-and-In? ("Spot Down, Vol Down") Until the underlying approaches the downside barrier, the equity risk is relatively straightforward to manage, requiring only minor Delta adjustments (as the price drops, dealers buy the underlying to rebalance). However, the Vega profile is a completely different story. Because the dealer is structurally long Vega on these long-dated products, a market sell-off increases their volatility exposure. To monetize and recycle this excess Vega, dealers are forced to short volatility, often executing this via variance swaps or dispersion trades. This systematic selling of volatility during a market decline can lead to a "spot down, vol down" regime. Another product that explains the "spot down, vol down" dynamic is the Put with a Volatility Knock-Out, which will be the main focus of my next post.

One of the biggest drivers of a "spot up, vol up" regime is structured products, specifically autocalls. An autocall is a structured product that yields a coupon as long as the underlying asset does not breach a specific downside or upside barrier. From a structuring perspective, the dealer is short a series of digital call options (replicated via a bunch of tight call spreads) to fund the yield, while the client is short a Put Down-and-In (DIP)—meaning the put is activated only if the underlying drops to the barrier. Consequently, the dealer's net positioning consists of being long the Down-and-In Put and short the Call Spreads. This creates two distinct hedging dynamics that drive market regimes: 1. How to hedge the short call spread? ("Spot Up, Vol Up") The main challenge here lies in managing the short digital call risk as the underlying rallies. As the price moves closer to the strike from below, the dealer’s long call component within their hedge needs to be adjusted.

To cover this rapidly accelerating Delta, Gamma, Vega, and Vanna positioning, dealers are forced to aggressively buy both the underlying asset and volatility. This collective buying pressure is what fuels the "spot up, vol up" regime. 2. How to hedge the long Put Down-and-In? ("Spot Down, Vol Down") Until the underlying approaches the downside barrier, the equity risk is relatively straightforward to manage, requiring only minor Delta adjustments (as the price drops, dealers buy the underlying to rebalance). However, the Vega profile is a completely different story. Because the dealer is structurally long Vega on these long-dated products, a market sell-off increases their volatility exposure. To monetize and recycle this excess Vega, dealers are forced to short volatility, often executing this via variance swaps or dispersion trades. This systematic selling of volatility during a market decline can lead to a "spot down, vol down" regime. Another product that explains the "spot down, vol down" dynamic is the Put with a Volatility Knock-Out, which will be the main focus of my next post.

In financial markets, we frequently hear about the spot/volatility correlation, commonly described as "spot up, vol down" or "spot down, vol up." This dynamic is heavily driven by market positioning and institutional flows. Spot is the price of the underlying. Here, volatility refers to implied volatility (ATM IV), which serves as a direct proxy for option pricing (ticker NASDAQ:VOLI for the SPY). When there is a positive spot/vol correlation, the market moves in tandem: "spot up, vol up; spot down, vol down." Ever since the 1987 crash, equity investors (who are structurally long the market) have actively sought downside protection and yield enhancement. To achieve this, they traditionally "buy puts" (for hedging) and "sell calls" (for yield generation). As a result, dealers find themselves structurally "short puts" and "long calls". When the spot drops, the surging demand for downside protection pushes put prices higher, driving "IV up". When the spot rallies, the dealers' long call positions help cushion the upside velocity, while the demand for puts melts away, causing put prices and overall "IV to drop. What are the key drivers behind a positive spot/volatility correlation regime?

When option skew is very low, forward returns tend to be weak or even negative. This phenomenon is primarily driven by overcrowded positioning. In this environment, high skew reflects elevated market Vanna, which concentrates around the 25-delta strikes. From a dealer perspective, following a prolonged market rally, investors' upside calls become deeply In-the-Money (ITM). At this stage, the Delta of these calls is near 1.0. For dealers hedging these short positions, their stock-buying requirement is linear—they are already fully long the underlying shares to offset the 1.0 Delta If a negative catalyst occurs or market momentum stalls, a minor downturn begins pushing these deep ITM calls back toward. This is where the risk accelerates. As the option's Delta drops from 1.0 down through the 0.9 to 0.5 range, it enters the peak Gamma zone. The relationship between the stock price and the required hedge is no longer linear. Beware of NVDA earnings.

Given the lilely pinning at 7400, how to trade this ? I like the call calendar spread 7400 (June18/June 22) The RR est 10x

GEX is a widely recognized quantitative indicator that aggregates dealer positioning. The SqueezeMetrics GEX model is "naive" (omitting Lee-Ready trade classification or skew) and operates on the core assumption that clients are net buyers of puts and net sellers of calls. Consequently, dealers maintain a mirror position: they are long calls and short puts. In this regime, dealers’ hedging activity typically dampens volatility, as they are forced to "buy the dips and sell the rips" to remain delta-neutral. High GEX as a Stabilizer: Current GEX levels are exceptionally high, suggesting a high-gamma environment. While this usually leads to lower realized volatility and mean reversion, it also acts as a "buffer" that keeps the market range-bound. We are likely approaching a major gamma wall, with 7400 emerging as a primary pinning candidate. Upside remains capped by dealer supply. Buying calls is currently unadvised (or "prohibitively expensive") given the lack of momentum and the heavy pinning effect.

Another topic related to the momentum factor is the so-called 'Santa Rally.' The main driver of this market move is 'window dressing,' which takes place at the end of the year. In order to comply with regulations, banks sell off underperforming assets and buy outperformers. In addition to window dressing, tax-loss harvesting plays a significant role in year-end volatility. Investors sell their 'losing' positions at a loss to offset capital gains taxes incurred elsewhere in their portfolios. This creates a 'double-whammy' effect: while window dressing pushes winners higher, tax selling creates additional downward pressure on the year's worst performers. Because everyone sells the same underperforming stocks in December for tax or compliance reasons, these stocks often become undervalued. In January, once year-end restrictions are lifted, investors often buy back these same stocks, triggering what is known as the January Effect. The downward momentum of December then transforms into a mean reversion rally.

Momentum Strategy: This strategy involves going long on "winners" and shorting "losers" based on their relative outperformance or underperformance against a benchmark. DSPX: Provided by the CBOE, this index measures cross-sectional dispersion (the variance in returns among S&P 500 constituents). A high DSPX indicates that stock returns are widely divergent, creating a broad gap between the best and worst performers. Consequently, the performance of the momentum factor serves as a signal of whether the market is dispersed or highly correlated. A momentum strategy requires a high-dispersion regime to generate a significant spread. If momentum begins to underperform, it may signal that "cracks" are appearing in the prevailing upward trend, often suggesting a loss of market breadth or an impending regime shift at the index level.

The implied skew of the SPX minus the average implied skew of its components is currently low. SPX puts are expensive relative to the puts of individual stocks due to correlation risk—the tendency for all stocks to decline when the market drops. This phenomenon reflects a 'scattered' market environment. The current realized correlation is low. Because dispersion can persist for a long time, at the index level returns may decrease as some stocks rally while others decline. The dispersion trade involves shorting the IV of the index (roughly the IV of the puts) while going long on the IV of its individual components. The differential between the two is currently tight, there is room to be less bearish on the index's implied volatility—specifically using the VIX Regarding the VIX, it is currently sitting at a solid support level given the macro environment, and it seems unlikely that it will head lower from here. To account for this, I propose a Jade Lizard strategy to cover potential upside risk on the VIX .

What is volatility risk premium ? As you know, trading is about guessing the distribution of the future return. (mean of the return more, negative/positive,variance/volatility, skweness, kurtosis) That kind of statistical distribution is also implied by the market(summary of the actors view). Volatility risk premium is the risk of variance. It’s related to the greek Vega. You can compute by doing IV -realized volatility For the SPX, you can use VIX or better VOLI (which is the ATM implied vol ; vega is maximum ATM) For the realized part you can use 30 or better 22 days. So what is the point ? If VRP is negative , implied vol is cheap and you can buy it. If VRP is positive and very very positive you can sell it (rv could increase for the return to the mean). VRP is a mean reverting process so it can be very extreme but will go one day or another to mean (a bit above 0) Why a bit above 0 ? Because there is a buying pressure for hedging (buy put/implied skew)

How to trade that kind of chart. First you have to understand what is gamma positive and gamma negative. I will not explain this own detail. Gamma positive dampen volatility. It’s the explanation of technical analysis concept as « support » and « resistance » Here the support is clearly downside. And the risk is clearly upside. But you can see that you have to go throught a little bump of gamma positive before going to the abyss of negative gamma upside. The trade is of course to be short put spread on the positive gamma iceberg But upside it’s more balanced. How I would like to cover the upside risk ? Beeing short a call ratio -1/+2 (buy cheap convexity) seems attractive.

What does that mean ? IV of an ETF has to be lower than its constituents (diversification). Whether the spread between SMH and NVDA is equal to zero that mean that owning NVDA is very close to owning SMH. One can argue that there is a implied correlation risk. The trade is short SMH vol and long NVDA vol One can express this using straddle or using call (as call skew is steep currently) Vega is the most interesting greek, so duration will be high >98 DTE and strike is ATM Be careful of your vega exposure, it has to be balanced.

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