Cointegration Thinking
Updated 2026-08-10
INTRODUCTION
English translation pending.
CORE DEFINITION
A property in which two non-stationary series each have their own trend but some linear combination of them is stationary, implying a long-run equilibrium. Short-run deviations are pulled back by an error-correction mechanism, so apparently random series can be anchored to one another. It identifies deep links beneath surface disorder, and is tested with procedures such as Engle-Granger or Johansen.
SCAFFOLDING EFFECT
Reduce cognitive load
- Pair screening: test whether two drifting series share a stationary long-run combination. - Deviation trade: treat short-run departures from equilibrium as opportunities that should revert. - Anchor finding: look for a stable relationship when surface noise makes the series look unrelated.
Anchor fast decisions
Two non-stationary series drift on their own, but a linear combination of them can be stationary, which reveals a long-run equilibrium. Short-run deviations are pulled back by the error-correction mechanism, so the pair looks random in the short run yet is anchored in the long run.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Cointegrationverified
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