seniorTime Series
What is cointegration in time series and why is it important in financial modeling?
Updated May 15, 2026
Short answer
Cointegration occurs when two or more non-stationary series move together and maintain a stable long-term relationship.
Deep explanation
Even if individual time series are non-stationary, they may be linked through a stable equilibrium relationship. Cointegration identifies such relationships. If a linear combination of series is stationary, they are cointegrated. This is crucial in finance for pairs trading, where price spreads revert to a mean.
Real-world example
Stock prices of Coca-Cola and Pepsi moving together over time.
Common mistakes
- Assuming correlation implies cointegration.
Follow-up questions
- What is a cointegration test?
- Why is cointegration useful in trading?