statsmodels.tsa.vector_ar.vecm.select_coint_rank

statsmodels.tsa.vector_ar.vecm.select_coint_rank(endog, det_order, k_ar_diff, method='trace', signif=0.05) [source]

Calculate the cointegration rank of a VECM.

Parameters:
  • endog (array-like (nobs_tot x neqs)) – The data with presample.
  • det_order (int) –
    • -1 - no deterministic terms
    • 0 - constant term
    • 1 - linear trend
  • k_ar_diff (int, nonnegative) – Number of lagged differences in the model.
  • 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.
Returns:

rank – A CointRankResults object containing the cointegration rank suggested by the test and allowing a summary to be printed.

Return type:

CointRankResults

© 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.select_coint_rank.html