Skip to main content

TL;DR

A mean-reverting SDE: \( dX_t = \theta(\mu - X_t)dt + \sigma dW_t \). The process is pulled toward \( \mu \) at rate \( \theta \), with solution \( X_t = \mu + (X_0 - \mu)e^{-\theta t} + \sigma \int_0^t e^{-\theta(t-s)}dW_s \).

By Valenke Exam Prep Team·Last updated 2026-06-03

Ornstein-Uhlenbeck Process

A mean-reverting SDE: \( dX_t = \theta(\mu - X_t)dt + \sigma dW_t \). The process is pulled toward \( \mu \) at rate \( \theta \), with solution \( X_t = \mu + (X_0 - \mu)e^{-\theta t} + \sigma \int_0^t e^{-\theta(t-s)}dW_s \).

Why it matters for interviews

The standard mean-reversion model in quantitative finance. Used for interest rate modeling (Vasicek), pairs trading (spread dynamics), and volatility modeling. Understanding its stationary distribution and half-life is interview material.

Definition and Mathematical Foundation

A mean-reverting SDE: \( dX_t = \theta(\mu - X_t)dt + \sigma dW_t \). The process is pulled toward \( \mu \) at rate \( \theta \), with solution \( X_t = \mu + (X_0 - \mu)e^{-\theta t} + \sigma \int_0^t e^{-\theta(t-s)}dW_s \).

Application in Quantitative Finance

The standard mean-reversion model in quantitative finance. Used for interest rate modeling (Vasicek), pairs trading (spread dynamics), and volatility modeling. Understanding its stationary distribution and half-life is interview material.

Related Concepts

Related Terms

Ready to practice for the Quant Trading Interview?

Adaptive practice powered by Item Response Theory targets your weak areas. Start with 3 free sessions.

Start free practice →

Frequently Asked Questions

What is the stationary distribution of OU?
As \( t \to \infty \), \( X_t \sim N(\mu, \sigma^2/(2\theta)) \). The long-run variance decreases with mean-reversion speed \( \theta \): faster reversion means tighter distribution around the mean.
What is the half-life of mean reversion?
The time for the expected deviation from the mean to halve: \( t_{1/2} = \ln(2)/\theta \). For pairs trading, this determines how long you expect to wait for the spread to revert.
How is OU used in pairs trading?
The spread between two cointegrated assets is modeled as OU. When the spread deviates significantly from \( \mu \), enter a mean-reversion trade. The half-life determines holding period, and \( \sigma^2/(2\theta) \) determines position sizing.