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VECM stands for Vector Error Correction Model. It is used with cointegrated time series and panel data in finance and macroeconometrics. VECM offers a convenient representation of a cointegrated VAR model as it distinguishes between short-run and long-run (equilibrium) effects.

4 votes
1 answer
2k views

Jarque-Bera test mandatory for VECM and VAR?

What tests do I need to perform for VECM and VAR to be considered robust? I know LM test for residual autocorrelation is mandatory, but what about Jarque-Bera test? Is that necessary?And what should I …
Lars Ahnland Nordfors's user avatar
1 vote
1 answer
3k views

Maximum lag length in cointegration?

I've got two conflicting answers when I search the internet for my question. Since cointegration is sensitive to maximum lag length, it is important to choose maximum lag length wisely. According to o …
Lars Ahnland Nordfors's user avatar
3 votes
2 answers
541 views

Can a cointegrated variable be exogenous in first difference in a VEC model?

If I have a variable C that is cointegrated with both variables A and B separately, can I use it in first-differenced form as an exogenous variable in a VEC model involving A and B?
Lars Ahnland Nordfors's user avatar
1 vote
1 answer
796 views

Is ARCH test mandatory for VAR?

Is ARCH test mandatory for VAR? If so, what lag length of the ARCH test should I use? The same as the lag length of my VAR or VEC model?
Lars Ahnland Nordfors's user avatar
1 vote
0 answers
340 views

Including exogenous variables in VECM (Rahbek and Mosconi, 1998)

I am reading the Rahbek and Mosconi (1998) paper on how to introduce exogenous variables in VEC models. I understand that, in addition to the introduction of the stationary exogenous variables, I shou …
Lars Ahnland Nordfors's user avatar
0 votes
1 answer
718 views

Do all variables in a VAR/VEC need to be normally distributed, or only the target variable?

Do all variables in a VAR/VEC need to be normally distributed, or only the target variable? It is very hard to get all of them to meet criteria of normality without deleting too many outliers.
Lars Ahnland Nordfors's user avatar