What is cointegrating rank?
The rank of the error-correction coefficient matrix, C, determines the cointegration rank. If rank(C) is: The integer r such that 0 < r < n , then there are r cointegrating relations. That is, there are r linear combinations that comprise stationary series.
How to check cointegration in EViews?
To perform the cointegration test from a Var object, you will first need to estimate a VAR with your variables as described in “Estimating a VAR in EViews”. Next, select View/Cointegration Test… from the Var menu and specify the options in the Cointegration Test Specification tab as explained above.
How to determine the cointegration rank of a VEC model?
The rank of the error-correction coefficient matrix, C, determines the cointegration rank. If rank(C) is: Zero, then the converted VEC(p) model is a stationary VAR(p – 1) model in terms of , without any cointegration relations. n, then the VAR(p) model is stable in terms of . The integer r such that , then there are cointegrating relations.
What are the coefficients of cointeq in VECM?
As I know, the coefficients of cointeq are the speed of adjustments which adjust the particular variable by deviation from equilibrium of previous period (is it correct?). Someone said in theory, the coefficients of cointeq should lie between -1 and 0, but in the results above, some of them are not satisfying this condition.
What is the output of VEC estimation in EViews?
VEC Estimation Output The VEC estimation output consists of two parts. The first part reports the results from the first step Johansen procedure. If you did not impose restrictions, EViews will use a default normalization that identifies all cointegrating relations.
Which is the adjustment coefficient of the VEC?
For example, A(2,1) is the adjustment coefficient of the first cointegrating equation in the second equation of the VEC. • The first index of B is the number of the cointegrating equation, while the second index is the variable number in the cointegrating equation.