# arch.unitroot.cointegration.PhillipsOuliarisTestResults¶

class `arch.unitroot.cointegration.``PhillipsOuliarisTestResults`(stat, pvalue, crit_vals, null='No Cointegration', alternative='Cointegration', trend='c', order=2, xsection=None, test_type='Za', kernel_est=None, rho=0.0)[source]
Attributes
`alternative_hypothesis`

The alternative hypothesis

`bandwidth`

Bandwidth used by the long-run covariance estimator

`cointegrating_vector`

The estimated cointegrating vector.

`critical_values`

Critical Values

`distribution_order`

The number of stochastic trends under the null hypothesis.

`kernel`

Name of the long-run covariance estimator

`name`

Sets or gets the name of the cointegration test

`null_hypothesis`

The null hypothesis

`pvalue`

The p-value of the test statistic.

`resid`

The residual from the cointegrating regression.

`stat`

The test statistic.

`trend`

The trend used in the cointegrating regression

Methods

 `plot`([axes, title]) Plot the cointegration residuals. Summary of test, containing statistic, p-value and critical values

Methods

 `plot`([axes, title]) Plot the cointegration residuals. Summary of test, containing statistic, p-value and critical values

Properties

 `alternative_hypothesis` The alternative hypothesis `bandwidth` Bandwidth used by the long-run covariance estimator `cointegrating_vector` The estimated cointegrating vector. `critical_values` Critical Values `distribution_order` The number of stochastic trends under the null hypothesis. `kernel` Name of the long-run covariance estimator `name` Sets or gets the name of the cointegration test `null_hypothesis` The null hypothesis `pvalue` The p-value of the test statistic. `resid` The residual from the cointegrating regression. `stat` The test statistic. `trend` The trend used in the cointegrating regression