Introduction
In our last lesson, we mastered the technique of building a delta-neutral portfolio, a crucial first step in managing option risk. We concluded by highlighting a critical limitation: a delta hedge is static. Because an option's delta changes as the underlying asset's price moves—a characteristic measured by gamma—a portfolio that is perfectly delta-neutral at one moment can quickly become exposed to directional risk.
This lesson directly addresses that challenge. We will explore how to manage this "gamma risk." First, we will examine dynamic hedging, the practical process of continuously adjusting a hedge to maintain delta neutrality. Then, we will advance to a more robust strategy: creating a delta-gamma neutral portfolio. This involves constructing a portfolio that is insensitive not only to small price changes but also to changes in the rate of that price change, resulting in a much more stable hedge.
The Problem with Static Hedges: Dynamic Hedging
As we saw at the end of the last lesson, a delta-hedged portfolio requires constant maintenance. A "set-and-forget" or static hedge quickly becomes ineffective. The practice of continuously rebalancing the hedge to maintain delta neutrality is known as dynamic hedging.
The following video clearly distinguishes between these two approaches.
Delta Hedging Explained: Options Trading Strategies
In "Delta Hedging Explained," Ryan O'Connell contrasts the concepts of static and dynamic hedging.
Please watch the segment from this point. Focus on why dynamic hedging is necessary and its goal: to keep the portfolio's delta as close to zero as possible over time by frequently buying or selling the underlying asset.
Dynamic hedging involves a trade-off. More frequent rebalancing keeps the portfolio closer to delta-neutral but incurs higher transaction costs. As a trader, you are constantly managing this balance.
To see this in action, let's look at a concrete numerical example of a dynamic hedging strategy over the life of an option.
Delta Hedging Explained: Options Trading Strategies
The same video provides a detailed, week-by-week example of dynamically hedging a short call position.
Watch the extended example from this section. You don't need to memorize the exact numbers. Instead, observe the process: Initially, the trader buys a number of shares equal to the position's delta. Each week, as the stock price changes, the option's delta changes. The trader must then either buy or sell shares to adjust their holdings to match the new delta, keeping the total portfolio delta near zero.
An important consequence of dynamic hedging, particularly for an option seller (who is short gamma), is that it often forces a "buy high, sell low" pattern. When the stock price rises, delta increases, forcing the hedger to buy more shares at a higher price. When the stock price falls, delta decreases, forcing the hedger to sell shares at a lower price. This systematic loss is the cost of hedging, and it is directly related to the theta (time decay premium) that the option seller earns.
Why Delta Hedging Isn't Enough: A Second-Order Look
To understand why a simple delta hedge is insufficient for anything but infinitesimal price changes, we can use a concept familiar from calculus: the Taylor expansion. The change in an option's price () for a change in stock price () and a small passage of time () can be approximated as:
When you create a delta-neutral portfolio, you set the portfolio's delta () to zero. The equation then becomes:
This reveals the problem. Even with , the portfolio's value is still exposed to the gamma term: . This is the "gamma risk." Because of the component, this risk is most pronounced during large price swings. For a typical option seller, gamma is negative, meaning large price moves in either direction will result in a loss, even if the position is delta-neutral.
The goal, therefore, is to create a hedge that neutralizes this second-order risk as well.
The Goal: A Delta-Gamma Neutral Portfolio
A delta-gamma neutral portfolio is one where both the total delta and the total gamma are zero. Such a portfolio's value is much more stable, as it is protected against both small price moves and the curvature effect of those moves.
How do we achieve this? A critical fact to remember is:
- The underlying asset (stock) has a delta of 1 and a gamma of 0.
This means you cannot change a portfolio's gamma by trading the underlying stock. To hedge gamma, you must use another instrument that has non-zero gamma—namely, another option.
The strategy for creating a delta-gamma neutral portfolio is a two-step process:
- Neutralize Gamma: Add a position in a traded option to make the portfolio's total gamma zero.
- Re-neutralize Delta: The option added in step 1 will have its own delta, which will have knocked your portfolio's delta away from zero. You then use the underlying stock to hedge this new residual delta, bringing it back to zero. This final step does not affect your now-neutral gamma, as the stock's gamma is zero.
The following resource provides a step-by-step numerical example of this exact process.
Hedging (aka, neutralizing) option delta and gamma (FRM T4-19)
The video "Hedging (aka, neutralizing) option delta and gamma" by Bionic Turtle is an excellent walkthrough of this two-step hedging procedure.
Imagine you are a market maker who has just sold 10,000 call options. Watch the following segments to see how you would hedge your delta and gamma exposure: Initial Exposure (watch here): First, calculate your initial position delta and position gamma. Step 1: Neutralize Gamma (watch here): The trader uses another, out-of-the-money call option to bring the portfolio gamma to zero. Notice how this changes the portfolio's delta. Step 2: Neutralize Delta (watch here): The trader buys shares of the underlying stock to cancel out the remaining delta, achieving a delta-gamma neutral position. Summary (watch here): A quick recap of the entire process.
The Mathematics of Delta-Gamma Hedging
Let's formalize the calculation shown in the video. Suppose you have an existing portfolio with a total gamma of and you want to use a traded option with gamma to hedge it. You need to find the number of contracts of the hedging option, , such that:
Solving for gives:
This calculation is the core of Step 1. Let's work through another concise example.
[PDF] More on Market-Making and Delta-Hedging
This lecture slide from the University of Texas at Austin provides a crisp definition and a clear example.
First, read the section on Gamma-Neutrality to see the formula and the logic of the two-step process described. Then, work through the short numerical example. It demonstrates exactly how to apply the formula and then re-balance delta with the underlying stock.
The result of this process is a portfolio whose value is significantly more insulated from stock price movements. The payoff profile, instead of being highly curved, becomes much flatter around the current stock price.

Conclusion
In this lesson, we have moved beyond simple delta hedging to understand its dynamic nature and limitations. By recognizing the impact of gamma, we have developed a more sophisticated hedging framework.
Key Takeaways:
- Dynamic hedging is the process of continuously adjusting a hedge to maintain delta neutrality as the underlying price and time to maturity change.
- A delta-neutral portfolio is only a first-order approximation. It remains exposed to gamma risk, which is the risk from the curvature of the option's value, and is most significant during large price changes.
- A delta-gamma neutral portfolio is created to provide a more robust, second-order hedge.
- This is achieved in a two-step process: first, use another option to neutralize gamma, and second, use the underlying asset to re-neutralize the resulting delta.
This lesson concludes our deep dive into the practical applications of the option Greeks. You are now equipped with the tools to both measure and manage the primary risks associated with option portfolios. In our next lesson, we will pivot to another cornerstone of financial engineering: the modeling of interest rates, beginning with an analysis of the term structure and yield curves.