cointmonitoR: Consistent Monitoring of Stationarity and Cointegrating Relationships

We propose a consistent monitoring procedure to detect a structural change from a cointegrating relationship to a spurious relationship. The procedure is based on residuals from modified least squares estimation, using either Fully Modified, Dynamic or Integrated Modified OLS. It is inspired by Chu et al. (1996) <doi:10.2307/2171955> in that it is based on parameter estimation on a pre-break "calibration" period only, rather than being based on sequential estimation over the full sample. See the discussion paper <doi:10.2139/ssrn.2624657> for further information. This package provides the monitoring procedures for both the cointegration and the stationarity case (while the latter is just a special case of the former one) as well as printing and plotting methods for a clear presentation of the results.

Version: 0.1.0
Depends: cointReg (≥ 0.2.0)
Imports: stats, graphics, matrixStats (≥ 0.14.1)
Suggests: knitr, rmarkdown
Published: 2016-06-14
Author: Philipp Aschersleben [aut, cre], Martin Wagner [aut] (Author of underlying paper.), Dominik Wied [aut] (Author of underlying paper.)
Maintainer: Philipp Aschersleben <aschersleben at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: cointmonitoR results


Reference manual: cointmonitoR.pdf
Vignettes: cointmonitoR


Package source: cointmonitoR_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cointmonitoR_0.1.0.tgz, r-oldrel (arm64): cointmonitoR_0.1.0.tgz, r-release (x86_64): cointmonitoR_0.1.0.tgz, r-oldrel (x86_64): cointmonitoR_0.1.0.tgz


Please use the canonical form to link to this page.