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The Cointegration category comprises books that explore how nonstationary time series can share stable, long-run equilibrium relationships and how to model, test, and use those relationships in practice. Titles typically cover core concepts (unit roots, orders of integration, cointegrating vectors), standard methodologies (Engle–Granger, Johansen), and their implementation via vector error-correction models, along with diagnostics, structural breaks, panel and nonlinear extensions. The category spans rigorous econometric treatments and applied guides featuring real-world applications in macroeconomics and finance—such as price discovery, yield-curve modeling, hedging, and pairs trading—often with reproducible examples in R, Python, or MATLAB. Aimed at graduate students, researchers, and quantitative practitioners, these books balance statistical foundations with hands-on workflows for building and validating cointegration-based models.

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