Lesson 3.3: Understanding the Full Formula (Translating Math to Finance)
Welcome to Lesson 3.3. In our last lesson, we did the single most difficult derivation in our course to get the Full Itô's Lemma.
We started with a function f(t,Xt) and an SDE dXt=adt+bdWt, and we derived the SDE for f:
The Full Itô's Lemma (Our "Master Formula")
df=(∂t∂f+a∂x∂f+21b2∂x2∂2f)dt+(b∂x∂f)dWt This is our "master formula," but right now it's just a "wall of math." It’s an SDE for df, which means it has the standard form:
df=(New Predictable Drift)⋅dt+(New Random Diffusion)⋅dWt In this lesson, we are going to do a "forensic analysis" of this equation. We will translate every single piece from abstract math into a real-world financial concept. By the end, you'll see this isn't a "wall of math" at all—it's a complete, intuitive story about risk.
What's Next? (The 'Hook')
This formula is still unusable for finding a price. Why? It has two "poison" terms:
- It has the random dWt term.
- It has the unknown stock drift a (or μ). We can't know what the "expected return" of a stock is.
This is a huge problem. But it sets us up for the most brilliant "magic trick" in finance.
In Module 4, we will show that we can build a portfolio (the "delta-hedged" portfolio) that combines the option and the stock in such a perfect way that the dWt term and the a term both cancel out completely, leaving us with a final, non-random equation that gives us the price.