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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 statistik.tu-dortmund.de>
BugReports: https://github.com/aschersleben/cointmonitoR/issues
License: GPL-3
URL: https://github.com/aschersleben/cointmonitoR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: cointmonitoR results

Documentation:

Reference manual: cointmonitoR.pdf
Vignettes: cointmonitoR

Downloads:

Package source: cointmonitoR_0.1.0.tar.gz
Windows binaries: r-devel: cointmonitoR_0.1.0.zip, r-release: cointmonitoR_0.1.0.zip, r-oldrel: cointmonitoR_0.1.0.zip
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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.