On this page
statsmodels.tsa.vector_ar.vecm.CointRankResults
class statsmodels.tsa.vector_ar.vecm.CointRankResults(rank, neqs, test_stats, crit_vals, method='trace', signif=0.05)
[source]-
A class for holding the results from testing the cointegration rank.
Parameters: - rank (int (0 <=
rank
<=neqs
)) – The rank to choose according to the Johansen cointegration rank test. - neqs (int) – Number of variables in the time series.
- test_stats (array-like (
rank
+ 1 ifrank
<neqs
elserank
)) – A one-dimensional array-like object containing the test statistics of the conducted tests. - crit_vals (array-like (
rank
+1 ifrank
<neqs
elserank
)) – A one-dimensional array-like object containing the critical values corresponding to the entries in thetest_stats
argument. - method (str, {
"trace"
,"maxeig"
}, default:"trace"
) – If"trace"
, the trace test statistic is used. If"maxeig"
, the maximum eigenvalue test statistic is used. - signif (float, {0.1, 0.05, 0.01}, default: 0.05) – The test’s significance level.
Methods
summary
() - rank (int (0 <=
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.tsa.vector_ar.vecm.CointRankResults.html