“…Then the standard linear regression models may lead to spurious regression (Granger & Newbold, 1974) and cointegration analysis is the right method of statistical inference. Therefore, cointegration analysis is a popular method in econometrics and is also used in other fields, such as in biology (Dahlhaus et al, 2018;Østergaard et al, 2017), agriculture (Zapata & Gil, 1999) or climatology (Schmith et al, 2012;Friedrich et al, 2023). Recently, attempts to fit cointegrated VAR models in high-dimensional settings started appearing, such as for big data in macroeconomics and finance (Wilms & Croux, 2016;Smeekes & Wijler, 2020;Chen & Schienle, 2022), EEG data (Levakova et al, 2022), phase synchronisation (Østergaard et al, 2022) and in structural health monitoring problems (Cross et al, 2011;Mousavi & Gandomi, 2021).…”