# Black Scholes Formula, drift term

In the formula, the stock return is modelled as a brownian motion that is a drift + a stochastic term, ok I get that. But the drift term is then modelled as r - volatility ^ 2 / 2. I am not sure how they derive this "volatility ^ 2 / 2". Is this derived out of the Ito Lemma??

This drift comes from making the discounted stock a martingale in the risk-neutral measure $\mathbb Q$

You start with a stock in $\mathbb P$ having this form: $$dS_t = \mu S_t dt + \sigma S_t dW_t$$ You also have a discount factor $e^{rt}$.

The idea is to remove the drift of the discounted process in $\mathbb Q$ so you get (after applying Girsanov's theorem) a martingale:

$$d\hat S_t = \sigma \hat S_t d \tilde W_t$$ where $\hat S_t$ is the discounted stock and $\tilde W_t$ is a $\mathbb Q$-brownian motion.

If you solve this last SDE you get

$$\hat S_t = \hat S_0\exp(\sigma W_t - \frac{1}{2}\sigma^2t)$$ Multiplying with $e^{rt}$ on both sides you get the un-discounted process and the drift you were asking about.

But the gist of why you get the correction term $\frac{1}{2}\sigma^2t$ is when solving the SDE $$dX_t = \sigma X_t dW_t$$ you get $X_t = X_0 \exp(\sigma W_t - \frac{1}{2}\sigma^2t)$

• In solving the SDE, I assume it is the Ito Lemma we apply to arrive at the solution right? – Liam May 23 '15 at 10:26
• @Liam yes, exactly. – Slug Pue May 23 '15 at 10:30