We may earn an affiliate commission when you visit our partners.

Cointegration

Save
May 1, 2024 3 minute read

Cointegration is a statistical technique used to analyze the long-run relationship between two or more time series variables. It is often used in economics and finance to study the relationship between prices, interest rates, and other economic indicators.

What is Cointegration?

Cointegration occurs when two or more time series variables move together over time, even though they may not be perfectly correlated. This means that the variables share a common trend or pattern, and that their movements are not independent of each other.

Share

Help others find this page about Cointegration: by sharing it with your friends and followers:

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Cointegration.
This survey paper provides a comprehensive overview of recent developments in cointegration analysis. It valuable resource for researchers and advanced students working in econometrics and time series analysis.
This handbook provides a comprehensive overview of econometrics, including a chapter on cointegration by Søren Johansen. It valuable resource for researchers and advanced students working in econometrics and time series analysis.
This textbook provides a rigorous and comprehensive treatment of time series econometrics, including a detailed discussion of cointegration and other advanced topics. It is suitable for both graduate students and researchers and is written in a clear and precise style.
This classic monograph provides a rigorous and in-depth treatment of cointegration and error correction models. It valuable reference for researchers and advanced students working in econometrics and time series analysis.
This textbook provides a comprehensive and rigorous treatment of time series econometrics, including a detailed discussion of cointegration and other advanced topics. It is suitable for both graduate students and researchers and is written in a clear and accessible style.
This textbook provides a comprehensive and up-to-date overview of time series econometrics, including a thorough treatment of cointegration and other advanced topics. It is suitable for both undergraduate and graduate students and is written in a clear and concise style.
This textbook provides a comprehensive and accessible overview of econometrics, including a brief introduction to cointegration. It is suitable for both undergraduate and graduate students and is written in a clear and concise style.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser