# Link between Vega and Gamma

"The vega is the integral of the gamma profits ( ie expected gamma rebalancing P/L) over the duration of the option at one volatility minus the same integral at a different volatility...Mathematically, it is:

$$\text{Vega} = \sigma t S^2 \text{Gamma}$$

where $S$ is the asset price, $t$ the time left to expiration and $\sigma$ the volatility.

This is again from Dynamic Hedging by Taleb. I cannot understand the first sentence because it gives no indication of which volatilities to pick nor what the integrand of the integral would be.

Shortly after Taleb states the formula above, again no justification as to where it came from.

Please could someone explain this better.

## 1 Answer

Under the Black-Scholes model, \begin{align*} Gamma &= \frac{N'(d_1)}{S \sigma \sqrt{T-t}}\\ Vega &= SN'(d_1) \sqrt{T-t}. \end{align*} Then, it is easy to see that \begin{align*} Vega = S^2 \sigma (T-t) Gamma. \end{align*}

• Thanks. This totally answers the 2nd part of the question. I suspect it inplicitly answers the first part but i cannot see how. Could you explain the integral at the different volatilities bit please? – Permian Mar 16 '16 at 17:22
• @Permian: For the first part, it is pretty trick. See Peter Carr's "FAQ in option pricing theory", and a longer discussion is in Marc Henrard's "Parameter risk in the Black & Scholes model". – Gordon Mar 16 '16 at 19:34