Co-Integration Analysis
Co-integration analysis is a statistical method used to determine if two or more time series are linked in a way that they move together over the long term. Unlike correlation, which only measures short-term co-movement, co-integration identifies a stable, long-run relationship.
This is essential for pairs trading and statistical arbitrage, as it provides a theoretical basis for expecting a price divergence to revert. If two assets are co-integrated, the linear combination of their prices is stationary, meaning it fluctuates around a constant mean.
Traders use this property to build robust strategies that are less prone to breaking down than simple correlation-based trades. It is a sophisticated tool that requires advanced knowledge of econometrics and time-series analysis to implement correctly in a trading environment.