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Gamma Scalping as a Realized Versus Implied Volatility Trade

Article Quant Q&A · Author: Hans

Summary

The document explains delta hedging of a long gamma option position. As the underlying moves, the option’s convex value change can exceed the linear gain or loss on the stock hedge. Rebalancing the hedge captures this convexity, while the option’s theta decay is the cost of holding gamma. The net result depends on how much the underlying moves relative to what implied volatility priced in.

In the idealized Black-Scholes setting with continuous rehedging and realized volatility equal to implied volatility, gamma gains and theta offset each other. When realized volatility differs, the position can gain or lose; with less frequent hedging, outcomes also depend on the path and timing of moves. The discussion therefore frames gamma scalping as exposure to realized volatility versus implied volatility, not as profit guaranteed by rebalancing. It offers qualitative explanations rather than a practical trading procedure, and its conclusions rely on simplified assumptions that omit transaction costs and other market frictions.

Key ideas

  • A delta hedge offsets the option’s immediate directional exposure while leaving its convexity.
  • Long gamma can benefit from both upward and downward moves when the hedge is rebalanced.
  • Theta decay is the carrying cost of a long gamma position.
  • Net performance depends on realized volatility relative to implied volatility.
  • Less frequent rehedging makes the result path dependent.

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Full text
# What really is Gamma scalping?


# What really is Gamma scalping?












How does Gamma scalping really work? It seems there is no true profit scalped. If we look at the simplest scenario, Black-Scholes option price $V(t,S)$ at time $t$ and the underlying stock price at $S$ with no interest, the infinitesimal change of the overall portfolio p&l under delta hedging, assuming we have the model, volatility, etc., correct, is $$0=dV-\frac{\partial V}{\partial S}dS=\big(\Theta+\frac12\sigma^2S^2\Gamma\big)dt.$$ So the Gamma effect is cancelled by the Theta effect. Where does so called Gamma scalping profit come from?

Note: My condition implies that $$ P\&L_{[0,T]} = \int_0^T \frac{1}{2} \Gamma(t,S_t,\sigma^2_{t,\text{impl.}})S_t^2( \sigma^2_{t,\text{real.}} - \sigma^2_{t,\text{impl.}})\,dt$$ coming from the misspecification of volatility is $0$.

## Answer by AlRacoon (score 11, accepted)

https://quant.stackexchange.com/a/37421

Assuming all else remains equal (implied vol has not changed and very little time decay has occurred), Gamma scalping can best be explained by Gamma (or realized volatility) enhancing the value of a delta hedged portfolio.

For example: If you are long an at-the-money call option, you are long 0.5 Delta and long Gamma. If you hedge this position, you will short 0.5 units of stock to be Delta neutral.

If the stock moves up:

Long option value will go up by 0.5 times the stock move + Gamma

Short stock hedge will lose 0.5 times the stock move

Net, the portfolio will be up by your Gamma

If the stock moves down:

Long option value will go down by 0.5 times the stock move - Gamma

Short stock hedge will gain 0.5 times the stock move

Net, the portfolio will be up by your Gamma

You will be up by Gamma. Hence the term Gamma Scalping.

Note: This strategy depends on realized volatility being greater than implied volatility (or the theta decay that you are paying for being long the option).

If you repeat this, the portfolio will go up by the Gamma. The strategy makes money because of the convexity of the option vs the linearity of the hedge.

## Answer by OGC (score 13)

https://quant.stackexchange.com/a/37432

Gamma scalping (being long gamma and re-hedging your delta) is inherently profitable because you make 0.5 x Gamma x Move^2 across the move from your option. (You get shorter delta on downmoves, so you buy underlying to hedge, you get longer on upmoves, so you sell on upmoves, etc.) Because it's inherently profitable across any move, you must pay for the privilege to be long gamma. The cost is that you pay out theta.

Theta (all else equal) of an ATM option can be thought of as the market's expectation of gamma-scalping profits for that day. If the stock moves more than implied by the market, you should make money on the gamma-scalp.

When other posters say it's a bet on volatility, they're correct. More specifically, it's a bet on realized volatility. If the stock realizes a higher vol than implied, gamma scalping makes more money than the option decays through theta.

You say that gamma-scalping profits should be cancelled out by theta. This is only the case in a Black Scholes world and in the case that realized vol = implied vol. This is almost never the case in reality.

It is indeed a trading strategy, and also a byproduct of running an options portfolio. Some people trade near-term options with high gamma in order to directly arb near-term realized versus implied. It's not a folk lore. Hope that answers some questions.

## Answer by Bram (score 8)

https://quant.stackexchange.com/a/37413

As long as you live in a world where implied and realized vol are the same, there is no net profit (or loss) from gamma scalping. However, if they are different, then you make a gain or loss which is not path dependent. This is all still in a hypothetical world of course with continuous trading.

In reality when rehedging less frequently, pnl becomes random and path dependent with at mean centered around Vega times the difference between realized vol and implied vol.

To me the equation you gave is important because:

- it underpins why you can see option trading together with delta hedging as betting on implied volatility

- it shows how your profit accrues (twice as large move, 4 times the pnl)

Might go too far for your question, but see here Delta Hedging with fixed Implied Volatility to get rid of vega? for an explanation of how what volatility you use in your hedging matters, even if you know that there is a difference between the implied vol you bought the option at and the subsequent realizing volatility.

Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.