In probability theory, Wald's martingale is the name sometimes given to a martingale used to study sums of i.i.d. random variables. It is named after the mathematician Abraham Wald, who used these ideas in a series of influential publications.^[1][2][3]

Wald's martingale can be seen as discrete-time equivalent of the Doléans-Dade exponential.

Let ${\displaystyle (X_{n})_{n\geq 1}}$ be a sequence of i.i.d. random variables whose moment generating function ${\displaystyle M:\theta \mapsto \mathbb {E} (e^{\theta X_{1}})}$ is finite for some ${\displaystyle \theta >0}$, and let ${\displaystyle S_{n}=X_{1}+\cdots +X_{n}}$, with ${\displaystyle S_{0}=0}$. Then, the process ${\displaystyle (W_{n})_{n\geq 0}}$ defined by

${\displaystyle W_{n}={\frac {e^{\theta S_{n}}}{M(\theta )^{n}}}}$

is a martingale known as Wald's martingale.^[4] In particular, ${\displaystyle \mathbb {E} (W_{n})=1}$ for all ${\displaystyle n\geq 0}$.

• Martingale
• geometric Brownian motion
• Doléans-Dade exponential
• Wald's equation

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